JP2005242541A - Inference information creation device, inference distribution map creation system, and inference information creation program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To create highly accurate inference information by reflecting information input by a user in inference information.
An inference information creation apparatus 1 is connected via an input detection unit 180 to a body temperature sensor 182 that measures a user's body temperature, a sweat sensor 183 that measures sweat, and a heart rate sensor 184 that measures heart rate. Thus, the measurement value from each sensor is acquired. In addition, an input panel 181 connected to the input detection unit 180 has a plurality of intention transmission switches 152 that are turned on and off to input switch information in order to intentionally input the user's own intentions, An inference mode selection switch 153 is provided for selecting an arbitrary inference mode. Based on the sensor measurement value and the switch information, inference information about the user is created in an arbitrary inference mode.
[Selection] Figure 1

Description

  The present invention relates to an apparatus for inferring user's consciousness, emotions, and the like, and more specifically, an inference information creating apparatus for creating inference information with high accuracy from information measured by a sensor and information input by a user. The present invention relates to an inference distribution map creation system and an inference information creation program.

  2. Description of the Related Art Conventionally, various devices have been proposed that provide a sensor for measuring a user's physiological information, biological information, and the like, and infer the user's consciousness and emotion based on various information measured by the sensor.

  In addition to sensors that measure physiological information such as heart rate and skin impedance, a CCD camera for detecting the posture and movement of the user and a microphone for detecting the voice emitted by the user are provided. There is known a consciousness level detection device that can detect more accurately whether or not a person's consciousness level is in a specific state. Furthermore, a game control apparatus is known in which a user can intentionally input a psychological state intentionally (see, for example, Patent Document 1).

In addition, while the user side device carried by the user transmits the biometric information and position information of the user to the searcher side device, the searcher side device displays the position information of the user on the map and uses it. Technology for grasping the physical condition of a person is known. This makes it possible to quickly and easily search when a person who performs dangerous work falls, search for elderly people, search for missing persons at the time of the earthquake, and monitor the biological status of the target person There is a known whereabouts search system (see, for example, Patent Document 2).
Japanese Patent Laid-Open No. 10-57355 JP-A-9-251069

  However, in the invention described in Patent Document 1, when detecting a voice uttered by a user using a microphone, ambient noise and noise cannot be distinguished from a user's voice, and the user's consciousness level is accurately detected. There was something I couldn't do. Similarly, when detecting the posture and motion state of a user with a CCD camera, if there is an obstacle between the CCD camera and the user that obstructs detection of the posture or motion state of the user, the user's posture is accurately determined. The level of consciousness could not be detected. Therefore, there is a problem that even if the user wants to input the psychological state intentionally, the psychological state cannot be input accurately.

  Furthermore, in the invention described in Patent Document 1, when it is determined that the user's consciousness level is in a specific state based on the biological information measured from the sensor, it is not related to whether or not the detection is performed from the CCD camera or the microphone. The user's consciousness level is determined to be in a specific state. Therefore, after it is determined that the user's consciousness level is in a specific state, even if the user intentionally inputs his / her psychological state via a CCD camera or microphone, the contents are effectively reflected. Was not.

  Further, in the invention described in Patent Document 2, the current position of the user can be displayed on the map together with the biological information, but the distribution of inference information such as the user's consciousness and emotion cannot be grasped. .

  The present invention has been made to solve the above-described problems, and by reflecting information input by the user in the inference information, an inference information creation apparatus and inference information creation that can create inference information with high accuracy The purpose is to provide a program. It is another object of the present invention to provide an inference distribution map creation system capable of creating a distribution map of inference information such as user consciousness and emotions and grasping the distribution of inference information.

  In order to achieve the above object, an inference information generating apparatus according to the invention of claim 1 includes measurement value acquisition means for acquiring measurement values from at least one sensor, and the user himself / herself operating to input information. User input information acquisition means for acquiring user input information input by the user from the input means for performing the measurement value acquired by the measurement value acquisition means, and the user input information acquisition means Inference means for creating inference data that is an index value different from the measurement value based on the acquired user input information, and inference information for outputting inference information including the inference data created by the inference means Information output means.

  An inference information creating apparatus according to a second aspect of the present invention provides an inference for creating the inference data based on the measured value and the user input information in addition to the configuration of the invention according to the first aspect. Storage means for storing a plurality of means; and inference means selection means for selecting an arbitrary inference means from the plurality of inference means stored in the storage means.

  According to a third aspect of the present invention, there is provided an inference information creating apparatus according to the first aspect of the present invention, wherein the inference means is a first inference means for creating the inference data based on the measured values. It is characterized by being.

  According to a fourth aspect of the present invention, there is provided an inference information generating apparatus, in addition to the configuration of the second aspect of the present invention, wherein the inference means acquires the user input information and the content of the user input information is When it is ON, the second inference means creates the inference data based on the measured value.

  According to a fifth aspect of the present invention, there is provided an inference information creating apparatus according to the third aspect of the present invention, wherein the inference means creates the inference data based on the user input information. It is a means.

  According to a sixth aspect of the present invention, there is provided an inference information creating apparatus, in addition to the configuration of the second aspect of the present invention, wherein the inference means acquires the user input information and the content of the user input information is When it is ON, the inference data is created based on the user input information, and when the user input information is not acquired or when the content of the user input information is OFF, It is the 4th inference means which produces the said inference data based on, It is characterized by the above-mentioned.

  According to a seventh aspect of the present invention, there is provided an inference information creating apparatus, wherein the inference means creates the inference data based on the measured value, in addition to the configuration of the invention according to the second aspect, and the user When the input information is acquired and the content of the user input information is ON, it is a fifth inference means for correcting the inference data based on the user input information.

  In addition to the configuration of the invention described in claim 2, the inference information generating apparatus of the invention according to claim 8 generates the inference data based on the measured value, and further, the user A sixth inference means for setting a correction value corresponding to the inference data and correcting the inference data by the correction value when the input information is acquired and the content of the user input information is ON. It is characterized by that.

  In addition to the configuration of the invention according to any one of claims 6 to 8, the inference information creating apparatus according to the invention according to claim 9 is characterized in that, when the content of the user input information is on, The inference data is created or corrected so as to indicate a strong inference of the user.

  In addition to the configuration of the invention according to any one of claims 1 to 9, the inference information creation device according to the invention according to claim 10 is characterized in that the measured value acquisition means includes the body temperature of the user measured by the sensor. The measurement value regarding at least one of heart rate, sweating, and breathing is acquired.

  An inference information creation apparatus according to an eleventh aspect of the invention includes a position sensor that detects the current position of the user in addition to the configuration of the invention according to any one of the first to tenth aspects, and outputs the inference information. When the inference data is created by the inference means, the means acquires position data related to the current position detected by the position sensor, and outputs the inference information including the position data. To do.

  An inference information creating apparatus according to a twelfth aspect of the invention includes a time measuring unit that measures the current date and time in addition to the configuration of the invention according to any one of the first to eleventh aspects. When the inference data is created by the inference means, date / time data related to the current date / time measured by the time measuring means is acquired, and the inference information including the date / time data is output.

  The inference distribution map creating system of the invention according to claim 13 is a measurement value acquired from at least one sensor and a usage acquired from an input means for a user to operate and input information. An inference information creation device that creates the inference information of the user based on the user input information, an inference distribution diagram creation device that creates an inference distribution map based on the inference information created by the inference information creation device, and Is an inference information generation system connected via a network, wherein the inference information generation device acquires a measurement value acquisition unit that acquires the measurement value from the sensor, and acquires the user input information from the input unit Based on the user input information acquisition means, the measurement value acquired by the measurement value acquisition means, and the user input information acquired by the user input information acquisition means An inference means for creating inference data that is an index value different from the measured value; and an inference information output means for outputting inference information including the inference data created by the inference means; Are inference information acquisition means for acquiring the inference information output from each of the inference information creation devices via a network, and inference information storage means for storing the inference information acquired by the inference information acquisition means; And an inference distribution diagram creating means for creating an inference distribution diagram that is a distribution diagram related to the inference information based on the inference information stored in the inference information storage unit.

  An inference distribution map creating system of an invention according to claim 14 is based on the inference information creating apparatus according to claim 11 and the position data included in the inference information output by the inference information creating apparatus, And an inference distribution diagram creating means for creating an inference distribution diagram that is a distribution diagram relating to the inference information.

  An inference distribution chart creating system of an invention according to claim 15 is based on the inference information creating apparatus according to claim 12 and the date and time data included in the inference information output by the inference information creating apparatus, And an inference distribution diagram creating means for creating an inference distribution diagram that is a distribution diagram relating to the inference information.

  According to a sixteenth aspect of the present invention, there is provided an inference information creation program comprising: a computer, measurement value acquisition means for acquiring measurement values from at least one sensor; and an input for operating the user himself / herself to input information. User input information acquisition means for acquiring user input information input by the user from the means, the measurement value acquired by the measurement value acquisition means, and the use acquired by the user input information acquisition means Function as inference means for generating inference data that is an index value different from the measured value based on the person input information, and inference information output means for outputting inference information including the inference data generated by the inference means It is characterized by making it.

  In the inference information creation device of the invention according to claim 1, inference data that is an index value different from the measurement value is created based on the measurement value acquired from each sensor and the information input by the user himself, Inference information including this inference data is output. Therefore, it is possible to create highly accurate inference information by reflecting the information input by the user in the inference information.

  In addition, in the reasoning information creating apparatus of the invention according to claim 2, in addition to the effect of the invention according to claim 1, any one of a plurality of reasoning means can be selected, so that reasoning information with higher accuracy can be created. it can.

  In addition, in the inference information creation device of the invention according to claim 3, in addition to the effect of the invention according to claim 2, one of the inference means is a first inference in which inference data is created based on the measured value of the sensor. Since it is a means, inference data can be created based only on the measured value of the sensor.

  In addition, in the inference information creation device of the invention according to claim 4, in addition to the effect of the invention according to claim 2, one of the inference means is based on the measured value of the sensor when the user inputs ON. Since it is the second inference means for generating the inference data, the inference data based on the measured value of the sensor can be generated at the timing when ON is input by the user.

  In addition, in the inference information creation device of the invention according to claim 5, in addition to the effect of the invention according to claim 2, one of the inference means is a third inference in which inference data is created based on user input information. Since it is a means, inference data can be created based only on user input information.

  In addition, in the inference information creation device of the invention according to claim 6, in addition to the effect of the invention according to claim 2, one of the inference means is an inference based on user input information when the user inputs ON. On the other hand, when data is created but the user does not input (when OFF is input), this is a fourth reasoning means for creating reasoning data based on the measurement value of the sensor. Accordingly, inference data based on user input information can be created at the timing when ON is input by the user, while inference data based on sensor measurement values can be generated when there is no input by the user.

  In addition, in the inference information creation device of the invention according to claim 7, in addition to the effect of the invention according to claim 2, one of the inference means creates inference data based on the measured value of the sensor, and further allows the user to When ON is input, the inference data is corrected based on the user input information. Therefore, the inference data can be corrected based on the user input information.

  In addition, in the inference information creation device of the invention according to claim 8, in addition to the effect of the invention according to claim 2, one of the inference means creates inference data based on the measured value of the sensor, and further allows the user to When ON is input, the inference data is corrected by the correction value corresponding to the inference data. Therefore, when user input information is input, the inference data is converted by an appropriate correction value. It can be corrected.

  In addition, in the inference information creation device of the invention according to claim 9, in addition to the effects of the invention according to any of claims 6 to 8, inference data indicating strong inference of the user when the user inputs ON Since it is created or corrected, when user input information is turned on, inference data indicating that the inferred emotion, consciousness, and the like are strong can be output.

  In addition, in the inference information creation device of the invention according to claim 10, in addition to the effect of the invention according to any one of claims 1 to 9, at least one of a user's body temperature, heart rate, sweating and breathing is measured by a sensor. Therefore, it is possible to accurately infer inference data about the user.

  In addition, in the inference information creation device of the invention according to claim 11, in addition to the effect of the invention according to any of claims 1 to 10, a position sensor for detecting the current position of the user is provided. Inference information including data can be output.

  In addition, in addition to the effect of the invention according to any one of claims 1 to 11, the reasoning information creating apparatus according to the invention according to claim 12 is provided with a time measuring means for measuring the current date and time. Inference information can be output.

  In addition, in the inference distribution chart creating system of the invention according to claim 13, inference information is collected in the inference distribution chart creating apparatus from the inference information creating apparatus creating inference information about the user, and the inference distribution chart creating apparatus infers An inference distribution map that is an information distribution map is created. Therefore, it is possible to grasp the distribution of the inference information by creating a distribution map of the inference information such as the user's consciousness and emotion.

  In addition, in the inference distribution chart creating system of the invention according to claim 14, the inference distribution chart creating apparatus having the position sensor and the inference distribution chart creating apparatus are configured, so that based on the position information included in the inference information A distribution map of inference information such as user awareness and emotions can be created.

  In addition, in the inference distribution chart creating system of the invention according to claim 15, since it is composed of the inference distribution chart creating apparatus and the inference distribution chart creating apparatus provided with the time measuring means, based on the date and time information included in the inference information A distribution map of inference information such as user awareness and emotions can be created.

  In the inference information creation program of the invention according to claim 16, inference data that is an index value different from the measurement value is created based on the measurement value acquired from each sensor and information input by the user himself / herself. Inference information including the inference data is output. Therefore, it is possible to create highly accurate inference information by reflecting the information input by the user in the inference information.

  Hereinafter, a first embodiment of the present invention will be described with reference to the drawings. The inference information creation device according to the first embodiment is a small portable terminal device carried by a user.

  In the inference information creation apparatus according to the present embodiment, user inference information is created from information measured from a sensor and information input by the user. Below, each measured value of body temperature, perspiration, and heart rate is illustrated as information measured from a sensor. In addition, as information input by the user, switch information indicating an on / off state of a switch for intentionally inputting a mental state of mine is illustrated. The inference information is information about the user's consciousness and emotion. In the present embodiment, it is assumed that the inference information relates to the “impression” of the user, and a case will be described in which inference information corresponding to the level of the “impression” is created.

  First, with reference to FIG. 1 thru | or FIG. 3, the structure of the inference information creation apparatus 1 which concerns on 1st Embodiment is demonstrated. FIG. 1 is a block diagram showing a configuration of the inference information creation apparatus 1. FIG. 2 is a conceptual diagram showing the configuration of the storage area of the RAM 130 of the inference information creation apparatus 1. FIG. 3 is a conceptual diagram showing the configuration of the storage area of the HDD 140 of the inference information creation apparatus 1.

  As shown in FIG. 1, the inference information creation apparatus 1 is provided with a CPU 110 that controls the inference information creation apparatus 1. The CPU 110 includes a ROM 120 that stores a program such as BIOS executed by the CPU 110, a RAM 130 that temporarily stores data, and a hard disk drive (hereinafter referred to as “HDD”) that is a data storage device. 140) is connected. In addition, a timing device 190 for counting the current date and time and the time interval is connected to the CPU 110 via the bus 115. The timing device 190 is an IC chip having a clock function. Further, the timing device 190 may be configured to acquire the date and time via the Internet or wirelessly.

  In addition, an input detection unit 180 that detects input from various devices is connected to the CPU 110 via the bus 115, and the input detection unit 180 allows a user to operate the inference information creation apparatus 1. An input panel 181 having buttons and switches, a body temperature sensor 182 for measuring the user's body temperature, a sweat sensor 183 for measuring the user's sweat state, and a heart rate for measuring the user's heart rate A sensor 184 is connected. The body temperature sensor 182, the sweat sensor 183, and the heart rate sensor 184 are not limited in position and measurement method as long as the body temperature, sweat, and heart rate can be measured effectively. A sensor reading unit is provided. The body temperature sensor 182 measures 0 to 50 ° C. as a measured value, the sweat sensor 183 measures 0 to 100% RH, and the heart rate sensor 184 measures 0 to 200 beats as a measured value. And

  Each sensor is controlled to automatically perform periodic measurement when the inference information creating apparatus 1 is powered on and activated. The measurement value of each sensor is stored in a predetermined storage area inside each sensor, and the inference information creation apparatus 1 acquires the latest measurement value from the predetermined storage area via the input detection unit 180. In addition, a measurement value storage area (not shown) for each sensor is provided in the RAM 130 or the HDD 140 of the inference information creation apparatus 1, and the measurement value of each sensor is stored in the measurement value storage area via the input detection unit 180, The inference information creation apparatus 1 may refer to this measurement value storage area and acquire the latest measurement value.

  In addition, the input panel 181 includes a power reset switch 151 for turning the power of the inference information creation device 1 on and off, and a user's own intention to input his / her intention intentionally. Is provided at least with an intention transmission switch 152 for inputting switch information by turning on / off, and an inference mode selection switch 153 for selecting an inference mode of the inference information creating apparatus 1.

  In order for the user to intentionally transmit his / her intention to the inference information creation apparatus 1, the intention transmission switch 152 is turned on or off. For example, in the present embodiment, the inference information creation apparatus 1 infers the “impression” of the user. Therefore, when the user determines that he / she is impressed, the communication switch 152 is turned on. The switch information “ON” is input, and if the user is not impressed, the switch information “OFF” is input without turning on the intention transmission switch 152.

  With this configuration, the inference information creation device 1 according to the first embodiment is based on the sensor information from the body temperature sensor 182, the sweat sensor 183, and the heart rate sensor 184 and the switch information from the intention transmission switch 152. Inference information about the user is created. Note that an inference information creation program is executed as one of the modules executed by the inference information creation apparatus 1 of the present embodiment. It is assumed that the inference information creation program is stored in advance in the program storage area 142 (see FIG. 3) on the HDD 140. Further, when installed via a CD-ROM drive, floppy (registered trademark) disk drive, and various interfaces (not shown), an external storage medium such as a CD-ROM or an external storage device via a network can be used on the HDD 140. An inference information creation program may be set up in the program storage area 142 and the information storage area 143 (see FIG. 3).

  The information (measurement value) measured from the body temperature sensor 182, the sweat sensor 183, and the heart rate sensor 184 corresponds to the “measurement value” of the present invention, and the user himself turns on / off the communication switch 152. The switch information to be input corresponds to “user input information” of the present invention.

  As shown in FIG. 2, the RAM 130 of the inference information creation apparatus 1 stores a work area 131 that stores temporary data during execution of the program and an input information storage area 132 that temporarily stores various types of input information. And an output information storage area 133 for temporarily storing various information to be output. Further, the RAM 130 is provided with various storage areas not shown.

  As shown in FIG. 3, the HDD 140 of the inference information creation apparatus 1 has an operating system (OS) storage area 141 that stores various programs executed by the CPU 110 to control the operation of the inference information creation apparatus 1, and an inference A program storage area 142 that stores various programs executed by the information creation device 1 and an inference information creation program, an information storage area 143 that stores information such as settings, initial values, and data necessary for program execution, and creation An inference information storage area 144 for storing the inferred information is provided. The information storage area 143 stores an inference definition table and a correction table, which will be described later, for creating inference data based on information measured from various sensors. In the program storage area 142, a plurality of inference engines corresponding to each of a plurality of inference modes are stored as a part of the inference information creation program.

  Hereinafter, the flow of processing in the inference information creation apparatus 1 of the present invention will be described with reference to FIGS. FIG. 4 is a main flowchart of the inference information creation process. FIG. 5 is a flowchart showing details of the inference engine initialization process (S1). 6 to 15 are diagrams for explaining each inference data creation process. FIG. 16 is a flowchart showing details of the inference information output process (S11). FIG. 17 is a diagram illustrating a data configuration of the inference information 10.

  The main flowchart of the inference information creation process shown in FIG. 4 is the case where the user operates the power reset switch 151 (see FIG. 1) to turn on the inference information creation device 1 or the inference information creation device 1 When the reset is performed, the process is started.

  As shown in FIG. 4, first, an inference engine initialization process (S1) is executed. The inference engine initialization process is a process for initializing a reference value for each sensor that is referred to in the later-described inference data creation process.

  As shown in FIG. 5, in the inference engine initialization process (S1), “0” is assigned to the variable ST, variable SH, and variable SM (S101), and “3” is assigned to the variable T (S102). . And a measured value is acquired from each sensor (S103). That is, the body temperature sensor 182, the sweat sensor 183, and the heart rate sensor 184 measure the body temperature, sweat, and heart rate of the user, and the measurement values are acquired from these sensors.

  The measured values of body temperature, sweating, and heart rate acquired from each sensor are added to the variable ST, variable SH, and variable SM, respectively (S104). If the measurement value is acquired for the first time in S103, since “0” is substituted for the variable ST, variable SH, and variable SM in S102, each of the body temperature, sweating, and heart rate acquired in S103 is obtained. The measured value is directly substituted into the variable ST, variable SH, and variable SM.

  Then, the variable T is decremented by “1” (S105), and if T is not “0” (S106: NO), the process returns to S103, and the measurement values obtained by the sensors are acquired again. In this way, until the number of times set to the variable T in S102 (here, 3 times) is reached, the measurement value acquisition in S103 is executed, and the processing in S103 to S106 is repeated. As a result, the variable ST, the variable SH, and the variable SM store the total value of the measurement values for the number of times set in the variable T.

  The variable ST, variable SH, and variable SM are respectively divided by “3”, which is the value set in the variable T, and assigned to the variable CT, variable CH, and variable CM, respectively (S107). That is, by dividing the total value of the measured values for each sensor by the number of times of measurement, an average value (= normal reference value) of one measured value of each sensor is obtained.

  The variable CT is a reference value for the body temperature sensor 182, the variable CH is a reference value for the sweat sensor 183, and the variable CM is a reference value for the heart rate sensor 184. The reference values of these sensors are stored in a reference value area (not shown) provided in the RAM 130.

  Returning to FIG. 4, the selection of the inference mode is executed (S2). The inference information creation apparatus 1 can select an arbitrary one from a plurality of inference modes, and the processing content for creating inference data differs depending on each inference mode. An inference engine corresponding to each inference mode is stored in the program storage area 142, and an inference engine that executes an inference data creation process described later is determined according to the inference mode selected in S2.

  The selection of the inference mode (S2) is executed when the user selects an arbitrary one from the inference mode selection switch 153 (see FIG. 1). If the inference mode is set in advance in the inference information creation apparatus 1, the set inference mode is automatically read and selected. If the user does not select an inference mode, the default inference mode is automatically set.

  Next, according to the inference mode selected in S2, the processing content in the subsequent inference data creation processing is determined (S3). In the present embodiment, “sensor output mode 1” (S4), “sensor output mode 2” (S5), “switch output mode” (S6), “switch priority mode” (S7), “switch correction mode 1” "S8", "Switch correction mode 2" (S9), and "Switch state correction mode" (S10) are executed as the inference data creation process.

  The inference data creation process is a process for creating inference data from information measured from a sensor and information input by a user. The flow of the inference data creation process will be described for each inference mode with reference to the drawings. FIG. 6 is a flowchart showing details of the “sensor output mode 1” (S4). FIG. 7 is a flowchart showing details of the inference execution process (S111, S122, S143, S151, S164, S171) based on the sensor measurement values. FIG. 8 is a diagram showing a data configuration of the inference definition table 13. FIG. 9 is a flowchart showing details of the “sensor output mode 2” (S5). FIG. 10 is a flowchart showing details of the “switch output mode” (S6). FIG. 11 is a flowchart showing details of the “switch priority mode” (S7). FIG. 12 is a flowchart showing details of the “switch correction mode 1” (S8). FIG. 13 is a flowchart showing details of the “switch correction mode 2” (S9). FIG. 14 is a flowchart showing details of the “switch state correction mode” (S10). FIG. 15 is a diagram illustrating a data configuration of the correction table 14.

  First, “sensor output mode 1” (S4) is an inference mode in which inference data is created based only on measured values from each sensor without taking into account switch information that the user has switched on / off the communication switch 152. It is. As shown in FIG. 6, in “sensor output mode 1” (S4), an inference execution process based on sensor measurement values is executed (S111). Then, inference data including the inference type and inference value acquired in S111 is created (S112).

  As shown in FIG. 7, in the inference execution process (S111) based on the sensor measurement values, the measured values of the body temperature, sweating, and heart rate of the user measured by the body temperature sensor 182, the sweat sensor 183, and the heart rate sensor 184. Are acquired (S201). Next, a state variable which is a flag indicating a change in state of a measurement value from each sensor is cleared (S202). In the present embodiment, three bits of the second bit for the body temperature measured by the body temperature sensor 182, the first bit for the sweating measured by the sweat sensor 183, and the 0th bit for the heart rate measured by the heart rate sensor 184 are in a state. As a variable. Then, with reference to a reference value area (not shown) in the RAM 130, a change in the measured value from each sensor is determined based on the reference value of each sensor calculated in S107 (see FIG. 5).

  First, the body temperature measurement value acquired from the body temperature sensor 182 is compared with a reference value (body temperature threshold) related to body temperature (S203). The reference value (threshold value) is a value stored in a reference value area (not shown) of the RAM 130. As a result, if the measured body temperature is larger than the body temperature threshold (S203: YES), the second bit is set to “UP” (S204). On the other hand, when the measured body temperature value is not larger than the body temperature threshold value (S203: NO), the process proceeds to the next step (S205). Similarly, the perspiration measurement value acquired from the perspiration sensor 183 is compared with a reference value (perspiration threshold value) related to perspiration (S205). As a result, if the perspiration measurement value is greater than the perspiration threshold value (S205: YES), The first bit is set to “UP” (S206). On the other hand, when the perspiration measurement value is not larger than the perspiration threshold (S205: NO), the process proceeds to the next step (S207) as it is. In addition, the heart rate measurement value acquired from the heart rate sensor 184 is also compared with a reference value (heart rate threshold value) relating to the heart rate (S207). As a result, if the heart rate measurement value is greater than the heart rate threshold value (S207). : YES), 0th bit is set to “UP” (S208). On the other hand, when the heart rate measurement value is not larger than the heart rate threshold value (S207: NO), the process proceeds to the next step (S209) as it is.

  Thereafter, inference types and inference values corresponding to the patterns of the second bit, the first bit, and the 0th bit of the state variable are acquired from the inference definition table 13 (S209). As shown in FIG. 8, the inference definition table 13 includes an inference type 13a indicating the type of inference, a sensor state 13b indicating a change state of a measured value from each sensor, and an inference indicating the strength of the user's inference numerically. The value 13c is included as a data item. And the correspondence of each data item is defined in a table format. As described above, in this embodiment, inference data relating to the “impression” of the user is created, so the inference definition table 13 referred to also relates to “impression”. Therefore, the inference type 13a defines a type related to “impression”, and there are a plurality of types from “excitement” to “no impression (normal)” depending on the strength of the user's “impression”. Also, an inference value 13c that expresses the strength of the “feeling” as a numerical value is defined. For example, if the inference type 13a is “big excitement”, the inference value 13c is the maximum value “100”. Since the inference definition table 13 shown in FIG. 8 relates to “impression”, the inference value 13c is also displayed as the impression level (E). In S209, since the sensor state 13b is specified by the state variables set in S203 to S208, the inference type 13a and the inference value 13c corresponding to the sensor state 13b are acquired.

  Next, in the “sensor output mode 2” (S5), when the user turns on the communication switch 152 and the switch information “ON” is input, inference data is created based on the measurement values from the sensors. This is an inference mode.

  As shown in FIG. 9, in “sensor output mode 2” (S5), it is determined whether or not the intention transmission switch 152 is “ON” (S121). If the intention transmission switch 152 is “ON” (S121: YES), an inference execution process (S122) based on sensor measurement values is executed. Note that S122 is the same processing as FIG. Then, inference data including the inference type 13a and the inference value 13c acquired in S122 is created (S123). On the other hand, if the intention transmission switch 152 is “OFF” (S121: NO), the process returns to FIG. 4 without creating the inference data.

  Next, the “switch output mode” (S6) is an inference mode in which inference data is created based only on switch information that the user turns on / off the intention transmission switch 152 without considering the measurement values from the sensors. It is.

  As shown in FIG. 10, in the “switch output mode” (S6), it is determined whether or not the intention transmission switch 152 is “ON” (S131). If the intention transmission switch 152 is “ON” (S131: YES), in the inference definition table 13, the inference type 13a corresponding to the sensor state 13b in which all of the 2nd to 0th bits of the state variable are “UP” and the inference The value 13c is acquired (S132). That is, when all of the second bit to the 0th bit of the state variable are “UP”, the inference type 13a corresponding to the sensor state 13b is “excitement” and the inference value 13c is “100”. Based on this, inference data showing the strongest “impression” by the user is created (S134). On the other hand, if the intention transmission switch 152 is “OFF” (S131: NO), in the inference definition table 13, the inference type 13a corresponding to the sensor state 13b in which all of the 2nd to 0th bits of the state variable are not “UP” The inference value 13c is acquired (S133). That is, when all of the second bit to the 0th bit of the state variable are not “UP”, the inference type 13a corresponding to the sensor state 13b is “no motion (normal)”, and the inference value 13c is “0”. Based on this, inference data showing the “impression” that the user is the weakest is created (S134).

  Next, in the “switch priority mode” (S7), when the user turns on the communication switch 152 and the switch information “ON” is input, the inference data is created based on the switch information of the user. When the switch information “OFF” is input without turning on the intention transmission switch 152 by the user, this is an inference mode in which inference data is created based on the measurement values from the sensors.

  As shown in FIG. 11, in the “switch priority mode” (S7), it is determined whether or not the intention transmission switch 152 is “ON” (S141). If the intention transmission switch 152 is “ON” (S141: YES), in the inference definition table 13, the inference type 13a corresponding to the sensor state 13b in which all of the second bit to the 0th bit of the state variable are “UP” is inferred. The value 13c is acquired (S142). On the other hand, if the intention transmission switch 152 is “OFF” (S141: NO), an inference execution process (S143) based on sensor measurement values is executed. Note that S143 is the same processing as FIG. Then, inference data including the inference type 13a and the inference value 13c acquired in S142 or S143 is created (S144).

  Next, in the “switch correction mode 1” (S8), after inferring based on the measurement value from each sensor, the user turns on the intention transmission switch 152 and the switch information “ON” is input. The inference data is generated by correcting the inference result with a predetermined correction value. On the other hand, if the switch information “OFF” is input without the user turning on (turning off) the intention transmission switch 152, inference is performed. This is an inference mode in which the result is output as inference data.

  As shown in FIG. 12, in the “switch correction mode 1” (S8), an inference execution process (S151) based on measurement values is executed. Note that S151 is the same processing as FIG. Then, it is determined whether or not the intention transmission switch 152 is “ON” (S152). If the intention transmission switch 152 is “ON” (S152: YES), the inference result of S151 is corrected by a predetermined correction value (S153). For example, when the correction value α = 20, when the inference type 13a acquired in S151 is “quiet impression” and the inference value 13c “50”, the correction value α = 20 is added to the inference value 13c “50”. The inference result is corrected to the inference type 13a “slight excitement” and the inference value 13c “70”. Then, inference data including the corrected inference type 13a and inference value 13c is created (S154). On the other hand, if the intention transmission switch 152 is “OFF” (S152: NO), inference data including the inference type 13a and the inference value 13c obtained in S151 is created (S154). The correction value α only needs to be a value that largely reflects the effect of turning on the intention transmission switch 152. For example, a value corresponding to 30% of the inference value 13c may be set.

  Next, in the “switch correction mode 2” (S9), after the measurement value is acquired from each sensor, when the user turns on the intention transmission switch 152 and the switch information “ON” is inputted, The measured value of each sensor is corrected by the correction value, and the inference execution process based on the corrected sensor measured value is executed. On the other hand, the user does not turn on the intention transmission switch 152 (turns off), and the switch information “OFF ”Is an inference mode in which inference execution processing based on normal sensor measurement values is executed to generate inference data.

  As shown in FIG. 13, in “switch correction mode 2” (S9), measurement values are acquired from each sensor in the same manner as in S201 of FIG. 7 (S161). Next, it is determined whether or not the intention transmission switch 152 is “ON” (S162). If the intention transmission switch 152 is “ON” (S162: YES), each sensor measurement value acquired in S161 is corrected by a predetermined correction value (S163). The correction value is predetermined for each sensor, and this correction processing is executed for each measurement value of each sensor. For example, the body temperature correction value “1 ° C.” is added to the body temperature measurement value “36 ° C.” to be corrected to the body temperature measurement value “37 ° C.”. Similarly, the sweat measurement value is corrected by the sweat correction value, and the heart rate The number measurement value is corrected by the heart rate correction value. And the inference execution process by each sensor measured value after this correction | amendment is performed (S164). On the other hand, if the intention transmission switch 152 is “OFF” (S162: NO), an inference process based on the sensor measurement values acquired in S161 is executed (S164). In addition, although S164 is the same process as FIG. 7, acquisition of the measured value from each sensor (S201) is not performed. Then, inference data including the inference type 13a and the inference value 13c acquired in S164 is created (S165).

  Next, in the “switch state correction mode” (S10), after inferring based on the measured values from the sensors, the user turns on the intention transmission switch 152 and the switch information “ON” is input. While the inference data is generated by correcting the inference result with the correction value defined in the correction table 14, the switch information “OFF” is input without the user turning on (turning off) the communication switch 152. In the inference mode, the inference result is output as inference data as it is.

  As shown in FIG. 14, the “switch state correction mode” (S10) is basically the same as the “switch correction mode 1” (S8) shown in FIG. However, the correction value is determined in advance in FIG. 12, whereas in FIG. 14, the correction value is set with reference to the correction table 14 (S173).

  As shown in FIG. 15, the correction table 14 includes an inference type 14a and an inference value 14b to be corrected, a correction value 14c at the time of switch ON that is a correction value added to the correction object, an inference type 14d and an inference value after the correction. 14e. In S173, the corresponding inference type 14a and inference value 14b are searched in the correction table 14 based on the inference type 13a and the inference value 13c acquired in S171. Then, a switch ON correction value 14c corresponding to the inference type 14a and the inference value 14b is acquired. As a result of correction by the correction value 14c when the switch is ON, the corrected inference type 14d and inference value 14e are acquired. For example, when the inference type 14a “quiet impression” and the inference value 14b “50” are acquired in S171, if the user has turned on the communication switch 152, the correction value 14c when the switch is turned on from the correction table 14 “20” is acquired, and after the correction, the inference type 14d “slight excitement” and the inference value 14e “70” are obtained.

  As described above, according to the inference mode selected in S3, each inference engine is executed by the CPU 110, and any one of the inference data creation processes (S4, S5, S6, S7, S8, S9, S10) is executed and the inference data is executed. Is created.

  As described above, since a plurality of inference modes are provided and the user can select an arbitrary inference mode from the inference mode selection switch 153, the optimum inference mode is selected according to the use status, the use environment, and the like of the inference information creation apparatus 1. Can create inference data. For example, when it is desired to create the inference information 10 based on the switch information input by the user, the “switch output mode” (S6), and when it is desired to create the inference information 10 based on the measurement value from each sensor, the “sensor output mode” 1 ”(S4) and various modes such as“ switch correction mode 1 ”(S8) are possible when the inference information 10 is to be corrected based on the switch information input by the user. Therefore, inference data about the user can be created more accurately.

  In addition, when the user turns on the communication switch 152 and the switch information “ON” is input, an inference mode is provided so that inference data indicating that the inferred emotion or consciousness is strong is output. Thus, the information input by the user is reflected in the inference data.

  For example, in the “switch output mode” (S6), in the case of the switch information “ON”, inference data indicating the strongest “impression” by the user is created. Further, in the “switch correction mode 1” (S8), in the case of the switch information “ON”, the correction value is added to the inference result, and inference data indicating that the user is more “impressed” is created. Therefore, for example, if the user himself / herself is “impressed” and immediately turns on the communication switch 152, inference data indicating that the user is strongly “impressed” is created. In this way, the switch information input by the user himself regarding “impression” can be reflected in the inference data.

  Returning to FIG. 4, an inference information output process (S11) for outputting the inference data created in each inference data creation process is executed. As shown in FIG. 16, in the inference information output process (S11), inference information is created based on the inference data created in each inference data creation process (S301). As shown in FIG. 17, the inference information 10 includes at least an inference value 10a and an inference type 10b. The inference value 10a and the inference type 10b correspond to the inference value 13c and the inference type 13a included in the inference data, respectively. The inference information 10 created in S301 is stored in the inference information storage area 144 (see FIG. 3) of the HDD 140 (S302).

  Thereafter, returning to FIG. 4, it is determined whether or not a predetermined time has passed (S12). This predetermined time is a time set in advance in the time measuring device 190, and in S12, with reference to the time measuring device 190, the passage of the predetermined time is determined. The predetermined time set in the time measuring device 190 can be set arbitrarily by the user or the designer.

  If the predetermined time has not elapsed (S12: NO), it is determined whether or not the intention transmission switch 152 is “ON” (S13). If the intention transmission switch is not “ON”, that is, is “OFF” (S13: NO), the process returns to S12. Therefore, the processing of S12 to S13 is repeated until a predetermined time elapses or until the intention transmission switch 152 is turned “ON”.

  On the other hand, when the predetermined time has elapsed (S12: YES) or when the intention transmission switch 152 is “ON” (S13: YES), the process returns to S3, the inference mode is selected, and each inference data creation process (S4, S4) is performed. Any one of S5, S6, S7, S8, S9, and S10) is executed to generate inference data, and further inference information 10 is output (S11). That is, in the inference information creation device 1, the process of outputting the latest inference information 10 is repeated every predetermined time or every time the communication switch 152 is turned “ON”. As a result, the inference information storage area 144 (see FIG. 3) of the HDD 140 stores a plurality of inference information 10 related to the user in time series.

  As described above, according to the inference information creation device 1 of the first embodiment, the measurement value acquired from each sensor of the body temperature sensor 182, the sweat sensor 183, and the heart rate sensor 184, and the user communicates the intention. Since the inference information 10 is created based on the switch information input by turning on / off the switch 152, the inference information 10 with higher accuracy can be created. That is, since the user can arbitrarily input the switch information, the user's consciousness, emotions, and the like can be reflected in the inference information 10, so that the accuracy of the inference information 10 can be further improved. In addition, since the inference mode can be arbitrarily set, the switch information input by the user can be reflected in the inference information 10.

  Next, a second embodiment of the present invention will be described with reference to the drawings. An inference distribution map creation system according to the second embodiment includes an inference information creation apparatus that is a small portable terminal device carried by a user and an inference distribution map creation apparatus that is a fixed computer device. It is a system connected via

  In the inference distribution chart creation system of this embodiment, inference information created by each of a plurality of inference information creation apparatuses is collected in the inference distribution chart creation apparatus via a network, and a distribution chart relating to the inference information is created. The case where it is done is illustrated.

  First, the configuration of an inference distribution map creation system according to the second embodiment will be described with reference to FIGS. FIG. 18 is an overall configuration diagram of the inference distribution map creation system. FIG. 19 is a block diagram showing another configuration of the inference information creation apparatus 1. FIG. 20 is a block diagram illustrating a configuration of the inference distribution map creation device 2.

  As shown in FIG. 18, in the inference distribution chart creation system according to the present embodiment, each of a plurality of inference information creation apparatuses 1 and the inference distribution chart creation apparatus 2 are connected via a network 90. The network 90 only needs to be effectively connected so that data can be transmitted and received between terminals regardless of wired or wireless.

  As shown in FIG. 19, each of the inference information creation devices 1 basically has the same configuration as that of the first embodiment (see FIG. 1). However, it differs in that it includes a GPS receiver 185 for detecting the current position by receiving radio waves from an artificial satellite and measuring the latitude and longitude, and a communication unit 170 for connecting to an external network 90. The communication unit 170 only needs to be able to be effectively connected to the external network 90 by wire or wireless. For example, in this embodiment, the communication unit 170 is a wireless LAN adapter for executing connection with the network 90 by a wireless LAN. .

  As shown in FIG. 20, the inference distribution map creation apparatus 2 includes a CPU 210, a ROM 220, a RAM 230, an HDD 240, a display control unit 260 to which a display 261 is connected, a voice control unit 270 to which a microphone 271 and a speaker 272 are connected, a mouse. An input detection unit 280 to which a keyboard 282 and a keyboard 282 are connected is provided via a bus 215. Such a configuration of the inference distribution map creation apparatus 2 is known as a configuration of a normal computer device, and thus details thereof are omitted. The inference distribution map creation device 2 is provided with a communication interface 291 for effectively connecting to the external network 90 by wire or wireless. The communication interface 291 is only required to be able to be effectively connected to the network 90. For example, in this embodiment, the communication interface 291 is a LAN card for cable connection to a wired LAN.

  The flow of processing in the inference distribution map creation system of the present invention will be described below with reference to FIGS. FIG. 21 is a flowchart showing other details of the inference information output process (S11) in the inference information creation apparatus 1. FIG. 22 is a diagram illustrating another data configuration of the inference information 10. FIG. 23 is a main flowchart of the inference distribution map creation process in the inference distribution map creation apparatus 2. FIG. 24 is a flowchart showing details of the inference distribution map creation / drawing process (S402). FIG. 25 is a diagram for explaining the process of creating the inference distribution map. FIG. 26 is another diagram for explaining the process of creating the inference distribution map. FIG. 27 is a diagram illustrating an example of an inference distribution diagram. FIG. 28 is a diagram illustrating another example of the inference distribution diagram. FIG. 29 is a diagram illustrating another example of the inference distribution diagram.

  First, processing in the inference information creation apparatus 1 will be described. The processing in the inference information creation device 1 in this embodiment is basically the same as the inference information creation processing (FIG. 4) in the first embodiment. Then, when the user operates the power reset switch 151 (FIG. 1) to turn on the power of the inference information creation apparatus 1 or when the inference information creation apparatus 1 is reset, the process is started. The same is true. However, the inference information output process (S11) is different from that of the first embodiment (FIG. 16).

  As shown in FIG. 21, in the inference information output process (S11), the GPS receiver 185 is referred to acquire the position data indicating the current position (S311), and the time measuring device 190 is referred to indicate the current date and time. Is acquired (S312). Then, the inference data created in any of the inference data creation processes (S4, S5, S6, S7, S8, S9, S10) shown in FIG. 4, the position data obtained in S311, and the data obtained in S312. Inference information is created based on the date and time data (S313). The inference information created in S313 is transmitted from the communication unit 170 to the inference distribution map creation device 2 via the network 90 (S314).

  As shown in FIG. 22, the inference information 10 includes at least an inference value 10a, an inference type 10b, position data 10c, and date / time data 10d. The inference value 10a and the inference type 10b correspond to the inference value 13c and the inference type 13a included in the inference data, respectively. The position data 10c corresponds to the position data acquired in S311, and the date / time data 10d corresponds to the date / time data acquired in S312. Note that the position data 10c need not be absolute coordinates, and may indicate relative coordinates.

  The inference information 10 transmitted to the inference distribution map creation device 2 is received by the communication interface 291 via the network 90, and an inference information storage area (not shown) provided in the HDD 240 of the inference distribution map creation device 2 ).

  Next, processing in the inference distribution map creation device 2 will be described. In the inference distribution chart creation device 2, an inference distribution chart creation process for creating a distribution chart related to inference information is executed based on a plurality of inference information collected in the inference information storage area (not shown). The inference distribution map creation process is periodically executed at predetermined time intervals or when an inference distribution map is instructed from the mouse 281 or the keyboard 282.

  As shown in FIG. 23, in the inference distribution map creation process, inference information 10 to be a distribution map creation target is read from the inference information storage area (not shown) (S401). Here, all the inference information 10 stored in the inference information storage area (not shown) may be read, or only a part may be read. Further, the inference information 10 to be read may be selected by the user.

  Next, an inference distribution diagram drawing process (S402) is executed based on the inference information 10 read out in S401, and an inference distribution diagram that is a distribution diagram related to the inference information 10 is created. The inference distribution map data created in S402 is stored in the inference distribution map storage area (not shown) of the HDD 240 (S403).

  Here, as a method for creating a distribution map based on the inference information 10, various distribution map creation methods can be applied, and an inference distribution map creation / drawing process is performed depending on which method is used to create the inference distribution map. The contents of the process in (S402) are different. Here, as an example, a case where an inference distribution map based on concentric contour distribution is created will be described.

  As shown in FIG. 24, in the inference distribution map creation / drawing process (S402), each measurement point is specified on the map based on the position data 10c (FIG. 22) included in the inference information 10 (S411). That is, the measurement point corresponding to the position data 10c of the inference information 10 is converted into a position on a predetermined map, and the display position is specified. FIG. 25 shows that an inference distribution map is created based on the four inference information 10 and that the measurement points of each inference information 10 are specified by “x” on a predetermined map.

  Next, a drawing range and a drawing shape are specified based on the inference value 10a included in each inference information 10 around each measurement point (S412). As shown in FIG. 26, the range and shape in which concentric circles (contour lines) are drawn around each measurement point are specified. In this embodiment, the intervals between the concentric circles are the same, and the concentric circles Is set to the region value. The region value is set to a value that is reduced at equal intervals as it goes to the outer concentric circle with the inference value 10a of the measurement point as a vertex. For example, in the case of FIG. 26, the inference value 10a “32” at the measurement point is set to a region value that is decreased by “10” at equal intervals toward the outer concentric circle. As described above, the specification of the drawing range and drawing shape in S412 is executed for all measurement points. As a result, as shown in FIG. 25, concentric drawing positions and ranges are specified for all measurement points.

  Finally, a distribution map drawing process using concentric contour lines is executed (S413). Specifically, concentric circular regions having the same region value are drawn with different colors so as to be filled with the same color. Such drawing processing is executed for all region values in order from the minimum value to the maximum value of the region values. As a result, as shown in FIG. 27, an inference distribution map that is color-coded for each region value is created. By referring to this inference distribution map, it is possible to grasp in which area (area) a plurality of users felt strong “inspiration”, and conversely, in which area (area) the plurality of users It is possible to ascertain whether or not it was “impressed” by region value.

  In the inference distribution map creation / drawing process (S402), the following inference distribution map may be created. First, the measurement point is specified based on the position data 10c included in the inference information 10. Next, the inference value 10a included in the inference information 10 is set as a measurement value at each measurement point. And the contour line display by the magnitude | size of a measured value is performed by making the measured value in this measuring point into a vertex. Then, as shown in FIG. 28, an inference distribution map based on the position data 10c can be created.

  Further, in the inference distribution map creation / drawing process (S402), the following inference distribution map may be created. First, the measurement point is specified based on the position data 10c included in the inference information 10. Next, based on the date data 10d included in the inference information 10, the magnitude of the temporal change of the inference value 10a at each measurement point is obtained as a temporal change value. Then, contour lines are displayed according to the magnitude of the temporal change value at each measurement point. Then, as shown in FIG. 29, an inference distribution map based on the position data 10c and the date / time data 10d can be created.

  Furthermore, if the inference information 10 includes user identification information, a plurality of inference distribution maps for each user are created, or an inference distribution map in which a plurality of users are distinguished and displayed on one inference distribution map. Can be created.

  Thus, in the inference distribution map creation device 2, the inference distribution chart for the user is created in the inference distribution chart creation processing (FIG. 23). The inference distribution chart can be created from various viewpoints such as an inference value 10a, an inference type 10b, position data 10c, and date / time data 10d according to the purpose and use of the user. Is available.

  For example, when a disaster such as an earthquake, a typhoon, or heavy snow occurs, an inference distribution map in the disaster occurrence area can be created by mapping the inference information 10 to a map of the disaster occurrence area. With reference to this inference distribution map, it is possible to grasp the distribution of emotions and consciousness of each user at the time of the disaster, and to grasp the psychological damage situation. In addition, if the inference information 10 is mapped to a seat layout diagram in a stadium or a concert venue, the distribution can be grasped in the emotions and consciousness of each user at the event.

  As described above, according to the inference information creation apparatus 1 of the second embodiment, an inference distribution map regarding the inference information 10 such as the user's consciousness and emotion is created, and the distribution of the inference information 10 is grasped. be able to.

  By the way, in the first and second embodiments, the input detection unit 180 (FIG. 1) that detects the input of the measurement value from the body temperature sensor 182, the sweat sensor 183, and the heart rate sensor 184 is the “measurement” of the present invention. The input detection unit 180 (FIG. 1) that corresponds to the “value acquisition unit” and detects the input of the switch information from the intention transmission switch 152 corresponds to the “user input information acquisition unit” of the present invention. The CPU 110 that executes the inference engine corresponding to each inference data creation process (S4, S5, S6, S7, S8, S9, S10) corresponds to the “inference means” of the present invention, and the inference information output process (S11). The CPU 110 that executes “) corresponds to“ inference information output means ”of the present invention.

  The program storage area 142 (FIG. 3) for storing a plurality of inference engines corresponds to the “storage means” of the present invention, and the inference mode selection switch 153 (FIG. 1) corresponds to the inference means selection means. The CPU 110 that executes the inference engine corresponding to “sensor output mode 1” (S4) corresponds to the “first inference means” of the present invention. The CPU 110 that executes the inference engine corresponding to “sensor output mode 2” (S5) corresponds to the “second inference means” of the present invention. The CPU 110 that executes the inference engine corresponding to the “switch output mode” (S6) corresponds to the “third inference means” of the present invention. The CPU 110 that executes the inference engine corresponding to the “switch priority mode” (S7) corresponds to the “fourth inference means” of the present invention. The CPU 110 that executes the inference engine corresponding to “switch correction mode 1” (S8) or “switch correction mode 2” (S9) corresponds to the “fifth inference means” of the present invention. The CPU 110 that executes the inference engine corresponding to the “switch state correction mode” (S10) corresponds to the “sixth inference means” of the present invention. The GPS receiver 185 (FIG. 19) corresponds to the “position sensor” of the present invention.

  The communication interface 291 (FIG. 20) corresponds to the “inference information acquisition unit” of the present invention, the inference information storage area provided in the HDD 240 corresponds to the “inference information storage unit” of the present invention, and the inference distribution. The CPU 210 that executes the diagram creation processing (FIG. 23) corresponds to the “inference distribution diagram creation means” of the present invention.

  The present invention is not limited to the first and second embodiments described in detail above, and it goes without saying that various modifications are possible.

  For example, in the above embodiment, the case where the inference information about the user is related to “impression” has been described as an example. However, the inference information is not only the user's consciousness and emotion but also the atmosphere and the importance level. It may be information about an abstract concept (also referred to as a context) that indicates the context of an event or the context of a situation, and cannot be grasped only by facts and evidence. Therefore, inference information may be created for “sadness”, “anger”, “fun”, “liveness”, “busy”, and the like. Then, an inference definition table 13 corresponding to the inference contents of each inference information may be set. For example, in order to create inference information based on the user's “sadness”, the inference definition table 13 corresponding to “sadness” may be set.

  In addition, in the inference definition table 13, a table for arbitrary inference contents may be set in advance by the user or the designer, and a plurality of tables corresponding to each of a plurality of inference contents are included in the inference definition table 13. It may be set in advance, and an optimal table may be automatically selected in the inference execution process based on sensor measurement values (FIG. 7).

  In addition, in the inference engine initialization process (FIG. 5), the sampling value is measured and the average value is calculated as the reference value. However, the time series data of the sampling value is obtained, and based on the characteristics of the transition. The reference value may be calculated. Further, the reference value may be calculated by excluding abnormal sampling values. Further, in the comparison process (S203, S205, S207) in the inference execution process (FIG. 7) based on the sensor measurement value, a change threshold value ε is provided for each sensor, and the correction value is obtained by correcting the threshold value with the change threshold value ε. You may perform a comparison with the measured value from each sensor. For example, about 5% of the threshold is set with the change threshold ε as an allowable error range. Further, in the present embodiment, the state change is determined by comparing the measured value from each sensor with a threshold value, but a predetermined reference value is subtracted from the measured value from each sensor to obtain an increment value, The state change may be determined by comparing whether the increment value is larger or smaller than a threshold value.

  Also, the information input from the user is not limited to the switch information from the intention transmission switch 152, but various means such as character input and command input from the input panel or keyboard, selection from the menu screen with the mouse, and the like. Is applicable. That is, any means can be used as long as the user can input and transmit predetermined information by his / her own intention.

  Needless to say, the measured values from each sensor are not limited to body temperature, sweating and heart rate. For example, the vibration, brain wave, respiration, acceleration, inclination, biorhythm, etc. of the user may be measured from the user. Further, each sensor (body temperature sensor 182, sweat sensor 183, heart rate sensor 184) and input panel 181 do not have to be configured integrally with the inference information creation device 1, and are input via an interface such as a USB or network. It is only necessary to remotely connect to the detection unit 180 and effectively acquire measurement values and input information.

  In addition, in the inference distribution map creation system, the inference information creation device 1 acquires position data using the GPS receiver 185. However, if the current position can be effectively identified, the position data is acquired by another method. Also good. For example, the inference information creating apparatus 1 may be provided with an interrogator (RFID tag reader) of an RFID system, and position data may be acquired from a nearby responder (RFID tag) by issuing a predetermined request. In addition, when the inference information creation apparatus 1 is provided with an ultrasonic oscillation / receiver, performs a predetermined oscillation with respect to a reference object whose position is known, and receives a reflection from the reference object, the time difference between forward and backward waves May be obtained to obtain a difference from the reference position, and position information may be obtained from the difference.

  A plurality of inference distribution map creation devices 2 may be provided in the inference distribution chart creation system. Moreover, it is good also as an apparatus by which the inference information creation apparatus 1 and the inference distribution map creation apparatus 2 were comprised integrally. Conversely, the inference information creation device 1 may be one. In addition, since the inference distribution map creation device 2 does not necessarily include the display 261, the microphone 271, the speaker 272, the mouse 281 and the keyboard 282, an external display device, microphone, and speaker are provided via an interface such as a USB or a network. It is also possible to perform remote control by connecting remotely.

  The inference information creation apparatus, the inference distribution map creation system, and the inference information creation program of the present invention can be applied to a computer device for inferring user's consciousness and emotion.

It is a block diagram which shows the structure of the inference information creation apparatus. 3 is a conceptual diagram illustrating a configuration of a storage area of a RAM 130 of the inference information creation device 1. FIG. 4 is a conceptual diagram illustrating a configuration of a storage area of an HDD 140 of the inference information creation device 1. FIG. It is a main flowchart of inference information creation processing. It is a flowchart which shows the detail of an inference engine initialization process (S1). It is a flowchart which shows the detail of "sensor output mode 1" (S4). It is a flowchart which shows the detail of the inference execution process (S111, S122, S143, S151, S164, S171) by a sensor measurement value. It is a figure which shows the data structure of the inference definition table. It is a flowchart which shows the detail of "sensor output mode 2" (S5). It is a flowchart which shows the detail of "switch output mode" (S6). It is a flowchart which shows the detail of "switch priority mode" (S7). It is a flowchart which shows the detail of "switch correction mode 1" (S8). It is a flowchart which shows the detail of "switch correction mode 2" (S9). It is a flowchart which shows the detail of "switch state correction mode" (S10). It is a figure which shows the data structure of the correction table. It is a flowchart which shows the detail of an inference information output process (S11). It is a figure which shows the data structure of the inference information 10. It is a whole block diagram of an inference distribution map creation system. It is a block diagram which shows the other structure of the inference information creation apparatus. It is a block diagram which shows the structure of the inference distribution map creation apparatus. It is a flowchart which shows the other details of an inference information output process (S11) in the inference information creation apparatus 1. It is a figure which shows the other data structure of inference information. It is a main flowchart of an inference distribution map creation process in the inference distribution map creation device 2. It is a flowchart which shows the detail of an inference distribution map creation drawing process (S402). It is a figure for demonstrating the creation process of an inference distribution map. It is another figure for demonstrating the creation process of an inference distribution map. It is a figure which shows an example of an inference distribution map. It is a figure which shows another example of an inference distribution map. It is a figure which shows another example of an inference distribution map.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Inference information creation apparatus 2 Inference distribution map creation apparatus 10 Inference information 13 Inference definition table 14 Correction table 90 Network 110 CPU
115 bus 120 ROM
130 RAM
140 HDD
151 Power Reset Switch 152 Communication Switch 153 Inference Mode Selection Switch 170 Communication Unit 180 Input Detection Unit 181 Input Panel 182 Body Temperature Sensor 183 Sweating Sensor 184 Heart Rate Sensor 185 GPS Receiver 190 Timing Device 210 CPU
215 bus 220 ROM
230 RAM
240 HDD
260 Display Control Unit 261 Display 270 Audio Control Unit 271 Microphone 272 Speaker 280 Input Detection Unit 281 Mouse 282 Keyboard 291 Communication Interface

Claims (16)

Measurement value acquisition means for acquiring measurement values from at least one sensor;
User input information acquisition means for acquiring user input information input by the user from input means for the user to operate and input information;
Based on the measurement value acquired by the measurement value acquisition unit and the user input information acquired by the user input information acquisition unit, inference data that is an index value different from the measurement value is created. Inference means,
An inference information creating apparatus comprising: inference information output means for outputting inference information including the inference data created by the inference means. Storage means for storing a plurality of inference means for creating the inference data based on the measurement value and the user input information;
The inference information creating apparatus according to claim 1, further comprising: an inference means selection means for selecting an arbitrary inference means from the plurality of inference means stored in the storage means.   3. The inference information creation apparatus according to claim 2, wherein the inference means is a first inference means for creating the inference data based on the measurement value.   The inference means is a second inference means for creating the inference data based on the measurement value when the user input information is acquired and the content of the user input information is ON. The inference information creation device according to claim 2, wherein   3. The inference information creating apparatus according to claim 2, wherein the inference means is third inference means for creating the inference data based on the user input information.   The inference means creates the inference data based on the user input information when the user input information is acquired and the content of the user input information is ON, and the user input information is The inference according to claim 2, wherein the inference means is a fourth inference means for creating the inference data based on the measured value when the user input information is not acquired or the content of the user input information is OFF. Information creation device.   The inference means creates the inference data based on the measurement value, and further acquires the user input information when the user input information is acquired and the content of the user input information is on. The inference information creating apparatus according to claim 2, wherein the inference information is a fifth inference means for correcting the inference data based on the inference data.   The inference means creates the inference data based on the measurement value, and further corresponds to the inference data when the user input information is acquired and the content of the user input information is on 3. The inference information creating apparatus according to claim 2, wherein the inference information creating apparatus is a sixth inference means for setting a correction value and correcting the inference data with the correction value.   The inference means creates or corrects the inference data so as to indicate a strong inference of the user when the content of the user input information is ON. Inference information creation device described.   The measurement value acquisition means acquires a measurement value related to at least one of the user's body temperature, heart rate, sweating, and respiration measured by the sensor. Inference information creation device described in Crab. A position sensor for detecting the current position of the user;
The inference information output means acquires position data relating to the current position detected by the position sensor and outputs the inference information including the position data when the inference data is created by the inference means. The inference information creation device according to any one of claims 1 to 10. It has time measuring means to measure the current date and time,
When the inference data is created by the inference means, the inference information output means obtains date / time data related to the current date / time measured by the time measuring means, and outputs the inference information including the date / time data The inference information creation device according to any one of claims 1 to 11, wherein Create inference information for the user based on measured values acquired from at least one sensor and user input information acquired from an input means for the user to operate and input information An inference information creation system in which an inference information creation device that creates an inference distribution map based on the inference information created by the inference information creation device is connected via a network. ,
The inference information creation device includes:
A measurement value acquisition means for acquiring the measurement value from the sensor;
User input information acquisition means for acquiring the user input information from the input means;
Based on the measurement value acquired by the measurement value acquisition unit and the user input information acquired by the user input information acquisition unit, inference data that is an index value different from the measurement value is created. Inference means,
Inference information output means for outputting inference information including the inference data created by the inference means,
The inference distribution map creation device is:
Inference information acquisition means for acquiring the inference information output from each of the inference information creation devices via a network;
Inference information storage means for storing the inference information acquired by the inference information acquisition means;
An inference distribution map creating system comprising: an inference distribution map creating unit that creates an inference distribution map that is a distribution map related to the inference information based on the inference information stored in the inference information storage unit. An inference information creation device according to claim 11;
An inference distribution diagram creating means for creating an inference distribution diagram that is a distribution diagram related to the inference information based on the position data included in the inference information output by the inference information creation device; Distribution chart creation system. Inference information creation device according to claim 12,
An inference distribution diagram creating means for creating an inference distribution diagram that is a distribution diagram related to the inference information based on the date and time data included in the inference information output by the inference information creation device; Distribution chart creation system. Computer
Measurement value acquisition means for acquiring measurement values from at least one sensor;
User input information acquisition means for acquiring user input information input by the user from input means for the user to operate and input information;
Based on the measurement value acquired by the measurement value acquisition unit and the user input information acquired by the user input information acquisition unit, inference data that is an index value different from the measurement value is created. Inference means,
Inference information output means for outputting inference information including the inference data created by the inference means;
Inference information creation program to function as

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