WO2018053677A1 - 智能设备佩戴检测方法及智能设备 - Google Patents

智能设备佩戴检测方法及智能设备 Download PDF

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Publication number
WO2018053677A1
WO2018053677A1 PCT/CN2016/099417 CN2016099417W WO2018053677A1 WO 2018053677 A1 WO2018053677 A1 WO 2018053677A1 CN 2016099417 W CN2016099417 W CN 2016099417W WO 2018053677 A1 WO2018053677 A1 WO 2018053677A1
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Prior art keywords
sensor
threshold
smart device
state
measured value
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English (en)
French (fr)
Inventor
张红
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Priority to EP16916418.3A priority Critical patent/EP3506052B1/en
Priority to CN201680056185.5A priority patent/CN108139790B/zh
Priority to PCT/CN2016/099417 priority patent/WO2018053677A1/zh
Priority to US16/334,510 priority patent/US11412981B2/en
Publication of WO2018053677A1 publication Critical patent/WO2018053677A1/zh
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/681—Wristwatch-type devices
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16—Constructional details or arrangements
    • G06F1/1613—Constructional details or arrangements for portable computers
    • G06F1/163—Wearable computers, e.g. on a belt
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
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    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
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    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/02416—Measuring pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G—PHYSICS
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    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
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    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
    • G06F1/3231—Monitoring the presence, absence or movement of users
    • G—PHYSICS
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    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438—Sensor means for detecting
    • G08B21/0446—Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
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    • A61B2562/0257—Proximity sensors
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Definitions

  • the embodiments of the present invention relate to the field of terminals, and in particular, to a smart device wearing detection method and a smart device.
  • wearable smart devices also known as smart wearable devices, which detect whether a user wears a smart wearable device by wearing a detection scheme, that is, detecting that the smart device is wearing and/or not Wearing state. According to the state of the smart device, the smart device supports different functions, and the strategy has many applications on the smart wearable device.
  • the Apple watch sets the password lock, the device lock status is related to the wear status. When the device is not worn, you need to enter the unlock code each time you use the device. After you wear the device, you only need to enter the unlock code when you use it for the first time. Fitbit surge determines whether to start heart rate measurement according to whether the user wears the device, and does not start heart rate measurement without the user wearing the device.
  • the wearing detection method of these devices is detected by using a single infrared (IR) sensor and/or an acceleration sensor (A-Sensor).
  • IR infrared
  • A-Sensor acceleration sensor
  • the Apple Watch uses a single IR for wear detection, and when the screen is bright, it initiates the detection of the wearing state. If the wearing status is detected and the password has not been entered during the wearing, the password is required. After the screen is off in the worn state, the monitoring of the unworn state is continued. In the case of not wearing and extinguishing the screen, the detection of the wearing state is not performed.
  • Fitbit surge uses an acceleration sensor for wear detection. When the device is resting on the desktop, the acceleration sensor does not detect the action, immediately stops the Photoplethysmogram (PPG) measurement, shakes the device, the acceleration sensor detects the action, and the PPG measurement starts immediately.
  • PPG Photoplethysmogram
  • the Apple watch uses IR for wear detection, and the IR measurement consumes a high power.
  • the Fitbit Surge judges the wearing state according to the acceleration sensor. When the device is placed on the desktop, the device is slightly shaken by hand, and the device considers When entering the wearing state and starting the PPG measurement, the accuracy is not high. That is to say, in the prior art wearing detection method, it is difficult to reduce the power consumption while ensuring the detection accuracy.
  • the embodiment of the invention provides a smart device wearing detection method and an intelligent device, which can reduce power consumption while ensuring detection accuracy.
  • a smart device wearing detection method including a first sensor and a second sensor. Obtaining a measured value of the first sensor; determining that the smart device is in a wearing state when the measured value of the first sensor is greater than the first threshold; determining that the smart device is in an unworn state when the measured value of the first sensor is less than the second threshold, where The first threshold is greater than the second threshold; when the measured value of the first sensor is greater than and/or equal to the second threshold and less than and/or equal to the first threshold, the second sensor is turned on; the measured value of the second sensor is obtained; The measured values of the two sensors determine that the smart device is in a worn state and/or an unworn state.
  • the data detected by the multiple sensors on the smart device is used for wearing detection
  • the first sensor is used for wearing detection.
  • the first sensor may be, but not limited to, a capacitive sensor with low power consumption.
  • other sensors with high power consumption are used for wear detection, which improves the accuracy of wearing detection and optimizes the power consumption of wearing detection.
  • the first sensor is a capacitive sensor
  • the second sensor is an infrared sensor
  • the device is in a wearing state, wherein the third threshold is less than the fourth threshold; when the measured value of the infrared sensor is greater than the fourth threshold, and/or, when the measured value of the infrared sensor is less than the third threshold, determining that the smart device is in the unworn state .
  • the power consumption of the capacitive sensor is low, but it is impossible to judge whether it is wearing state in some measured values. Therefore, if the measured value of the infrared sensor is used to determine whether it is wearing state, the accuracy of wearing detection can be improved, and the power consumption of wearing detection can be optimized. .
  • the first sensor is a capacitive sensor
  • the second sensor is a heart rate detecting sensor, when the measured value of the heart rate detecting sensor is greater than and/or equal to the fifth threshold and less than and/or equal to the sixth threshold, Determining that the smart device is in a wearing state, wherein the fifth threshold is less than a sixth threshold; when the measured value of the heart rate detecting sensor is greater than the sixth threshold, and/or, when the measured value of the heart rate detecting sensor is less than the fifth threshold, determining the smart device In an unworn state.
  • the heart rate detecting sensor is combined with the heart rate detecting sensor. The measured value is judged whether it is wearing state, the accuracy of the wearing detection can be improved, and the power consumption of the wearing detection can be optimized.
  • the first sensor is a capacitive sensor
  • the second sensor is a body temperature detecting sensor, when the measured value of the body temperature detecting sensor is greater than and/or equal to a seventh threshold and less than and/or equal to an eighth threshold, Determining that the smart device is in a wearing state, wherein the seventh threshold is less than an eighth threshold; when the measured value of the body temperature detecting sensor is greater than the eighth threshold, and/or, when the measured value of the body temperature detecting sensor is less than the seventh threshold, determining the smart device In an unworn state.
  • the first sensor and the second sensor are given. Since the power consumption of the capacitive sensor is low, it is impossible to determine whether it is wearing state in some measured values, so combined with the body temperature detecting sensor The measured value is judged whether it is wearing state, the accuracy of the wearing detection can be improved, and the power consumption of the wearing detection can be optimized.
  • determining a current state of the smart device before obtaining the measurement value of the first sensor, determining a current state of the smart device, the state being one of a boot initial state, an unworn state, and a wearing state; when determining the When the state is the unworn state, determining that the rising value of the measured value of the capacitive sensor is greater than a ninth threshold value during the first preset time length; and determining that the state is the wearing state, determining that the capacitive sensor is within the second preset time length The measured value falls below the tenth threshold.
  • the algorithm for wearing the detection can be optimized, and the accuracy of the wearing detection is further improved.
  • a significant rising edge value of the first sensor reading is triggered when the wearing action occurs, when the device is detached, a significant falling edge value of the first sensor reading is triggered, thus determining the rising edge of the measured value
  • the falling edge can accurately detect the action of the wearing device and the falling device. After detecting the action of the wearing device and the falling device, the wearing state and/or the unworn state are judged, and the accuracy of the wearing detection can be further improved.
  • the first sensor when determining that the current state is the wearing state, it is determined that the fast detection of the falling action is not required, and then the corresponding detection method is performed, and the fast detection may be needed. It can also meet the needs of users when it comes off.
  • the smart device further includes a third sensor, the third sensor is an acceleration sensor; acquiring a measurement value of the acceleration sensor for a third preset time length; and the acceleration sensor for a third preset time length When the measured values are all smaller than the eleventh threshold, it is determined that the smart device is in an unworn state.
  • the data of the acceleration sensor for a long time can accurately determine that the smart device is in an unworn state, so that the detection result of the first sensor and/or the second sensor can be corrected, thereby improving the accuracy of the wearing detection.
  • the second sensor is turned off according to the measured value of the second sensor.
  • the second sensor after the second sensor is used, the second sensor is turned off, which can effectively reduce power consumption.
  • a smart device which can implement the functions performed by the smart device in the above method example, and the function can be implemented by hardware or by executing corresponding software by hardware.
  • the hardware and/or software includes one and/or a plurality of corresponding functions Meta and/or modules.
  • the smart device includes a processor, a first sensor, and a second sensor, the processor being configured to support the smart device to perform a corresponding function in the above method.
  • the first sensor and the second sensor are used to obtain a measured value.
  • the smart device can also include a memory for coupling with the processor that holds the necessary program instructions and data for the smart device.
  • an embodiment of the present invention provides a computer storage medium for storing computer software instructions for use in the smart device, including a program designed to perform the above aspects.
  • the data detected by multiple sensors on the smart device is integrated for wearing detection, and the first sensor with low power consumption is used for wearing detection.
  • the other sensor with high power consumption is used for wear detection, which improves the accuracy of the wearing detection and optimizes the power consumption of the wearing detection.
  • FIG. 1A is a flowchart of a smart device wearing detection method according to an embodiment of the present invention.
  • FIG. 1B is a flowchart of another smart device wearing detection method according to an embodiment of the present invention.
  • FIG. 1C is a flowchart of another smart device wearing detection method according to an embodiment of the present invention.
  • FIG. 1 is a flowchart of another smart device wearing detection method according to an embodiment of the present invention.
  • FIG. 2A is a structural diagram of a smart device according to an embodiment of the present invention.
  • FIG. 2B is a structural diagram of another smart device according to an embodiment of the present invention.
  • FIG. 2C is a structural diagram of another smart device according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of another smart device according to an embodiment of the present disclosure.
  • FIG. 4 is a schematic diagram of an overall process of wearing detection according to an embodiment of the present invention.
  • FIG. 5 is a schematic flowchart of an initial state detection process according to an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of a detection process in an unworn state according to an embodiment of the present invention.
  • FIG. 7 is a schematic diagram of a detection process in a wearing state according to an embodiment of the present invention.
  • FIG. 8 is a schematic flowchart of a method for correcting a wearing detection state assisted by an A-Sensor according to an embodiment of the present invention.
  • a capacitive sensor CAP Sensor
  • an infrared sensor IR Sensor
  • A-Sensor acceleration sensor
  • the PPG component used by the smart device usually includes green light and infrared light. In two parts, you can use the infrared light part to perform the wear detection. The following three types of sensors are briefly introduced.
  • the capacitive sensor measuring device has different capacitance values when worn and/or not worn, distinguishes the wearing state and/or the unworn state according to the magnitude of the capacitance value, and/or detects the occurrence of the action of wearing the device according to the change of the capacitance value and / or the action of the falling device; the intensity of the IR reflected light when the infrared sensor measuring device is in contact with different objects, according to the difference of the reflected light intensity to distinguish whether the device is wearing state; when the acceleration sensor measuring device is worn and not worn, X/ Y/Z triaxial direction acceleration, calculation and acceleration, according to the difference between wearing and not wearing and acceleration to distinguish whether it is wearing state.
  • the experimental data acquisition of the capacitive sensor and the infrared sensor the experimental data is obtained and analyzed, and the characteristics of some measured values of the capacitive sensor and the infrared sensor can be obtained.
  • the specific experimental conditions are as follows:
  • the CAP Sensor data collection scenario includes: the prototype wears loosely collected CAP Sensor data; the prototype wears tightly to collect CAP Sensor data; the prototype is not worn, and the bottom touches different materials and sides. Place CAP Sensor data on different materials. These materials include: paper, wood, glass, plastic, iron, leather, cotton; wear multiple times in a row, off the prototype to collect CAP Sensor data.
  • the scenes of IR data collection include: wearing a prototype, in different tightness, measuring the reading value of IR reflected light intensity; different tightness includes making the bottom of the prototype close to the skin, and the bottom of the prototype is 0.5cm, 1cm, 1.5cm, etc. from the skin.
  • the scene is not wearing the prototype, the prototype is suspended; the prototype is not worn, the bottom of the prototype is closely attached to different materials and the distance of 2mm from the material; these different materials include: wooden table, paper, plastic, glass, iron sheet several scenes.
  • the following rules are summarized: when wearing a steady state, wearing different elastic, the IR data distribution is basically stable, basically in the normal wearing interval, and the IR data of the wearing scene and the unworn scene are relatively Good distinction.
  • the capacitive sensor and the infrared sensor are combined for wearing detection, and/or the capacitive sensor is combined with other types of sensors for wearing detection, thereby improving the wearing detection. Accuracy and optimize the purpose of wearing the detected power consumption.
  • the first sensor is used as a capacitive sensor, but it is not used to define the type of the first sensor.
  • FIG. 1A is a flowchart of a smart device wearing detection method according to an embodiment of the present invention.
  • the smart device includes a first sensor and a second sensor, wherein the first sensor is a capacitive sensor, and the second sensor is another type of sensor, for example, An infrared sensor, a heart rate detecting sensor, and/or a body temperature detecting sensor, the method comprising:
  • Step 101 Obtain a measured value of the capacitive sensor.
  • multiple readings of the capacitive sensor over a predetermined length of time can be read, and the readings are averaged and used as a measured value of the capacitive sensor.
  • Step 102 When the measured value of the capacitive sensor is greater than the first threshold, determine that the smart device is in a wearing state; when the measured value of the capacitive sensor is less than the second threshold, determine that the smart device is in an unworn state, wherein the first threshold is greater than the second Threshold.
  • the specific values of the first threshold and the second threshold may be determined by experiments, wherein the first threshold is a threshold value that can accurately determine the wearing state of the smart device according to the measured value of the capacitive sensor, and the second threshold In order to accurately determine the critical value of the smart device in an unworn state based on the measured value of the capacitive sensor.
  • Step 103 Turn on the second sensor when the measured value of the capacitive sensor is greater than and/or equal to the second threshold and less than and/or equal to the first threshold.
  • the measured value of the capacitive sensor when the measured value of the capacitive sensor is greater than and/or equal to the second threshold and less than and/or equal to the first threshold, the measured value of the capacitive sensor cannot accurately determine whether the smart device is in a wearing state, and then the first time is turned on. Two sensors, before which the second sensor is off.
  • Step 104 Acquire a measured value of the second sensor.
  • the reading of the second sensor at a certain moment can be read, the reading is used as the measured value of the second sensor, and the plurality of readings of the second sensor for a preset length of time can also be read, and then the readings are averaged The value is used as the measured value of the second sensor.
  • Step 105 Determine, according to the measured value of the second sensor, that the smart device is in a wearing state and/or an unworn state.
  • the first after determining that the smart device is in a worn state and/or an unworn state, the first can be turned off. Two sensors.
  • the second sensor is an infrared sensor
  • the third threshold is less than The fourth threshold.
  • the measured value of the infrared sensor is greater than the fourth threshold, and/or when the measured value of the infrared sensor is less than the third threshold, it is determined that the smart device is in an unworn state.
  • the specific values of the third threshold and the fourth threshold may be determined by experiments, wherein the third threshold is a lower limit that can accurately determine the wearing state of the smart device according to the measured value of the infrared sensor, and the fourth threshold is The upper limit of the wearing state of the smart device can be accurately determined according to the measured value of the infrared sensor.
  • the second sensor is a heart rate detecting sensor, and when the measured value of the heart rate detecting sensor is greater than and/or equal to the fifth threshold and less than and/or equal to the sixth threshold, determining that the smart device is in a wearing state, wherein The five threshold is less than the sixth threshold; when the measured value of the heart rate detecting sensor is greater than the sixth threshold, and/or, when the measured value of the heart rate detecting sensor is less than the fifth threshold, determining that the smart device is in the unworn state.
  • the specific values of the fifth threshold and the sixth threshold may be determined according to a normal range of the heart rate of the person.
  • the fifth threshold is 40 times/minute
  • the sixth threshold is 160 times/minute.
  • the second sensor is a body temperature detecting sensor, and when the measured value of the body temperature detecting sensor is greater than and/or equal to the seventh threshold and less than and/or equal to the eighth threshold, determining that the smart device is in a wearing state, wherein The seventh threshold is less than the eighth threshold; when the measured value of the body temperature detecting sensor is greater than the eighth threshold, and/or, when the measured value of the body temperature detecting sensor is less than the seventh threshold, determining that the smart device is in the unworn state.
  • the specific values of the seventh threshold and the eighth threshold may be determined according to a normal range of the human body temperature, for example, the seventh threshold is 36 ° C, and the eighth threshold is 39 ° C.
  • a low-power device is first used to perform preliminary detection of a wearing state, and in a case where a device with low power consumption cannot be accurately judged, a device with high stability and high accuracy is used. Status confirmation, which effectively reduces the power consumption of the wear detection.
  • FIG. 1B is a flowchart of another smart device wearing detection method according to an embodiment of the present invention.
  • the method includes the following steps 101 to 105. Before performing step 101, the method further includes:
  • Step 106 Determine a current state of the smart device, where the state is one of an initial state, an unworn state, and a worn state.
  • Step 107 When it is determined that the state is the unworn state, it is determined that the rising value of the measured value of the capacitive sensor is greater than the ninth threshold value within the first preset time length.
  • the specific values of the first preset time length and the ninth threshold may be determined in advance by experiments.
  • step 107 can be used to determine that the user has worn the motion, and then whether the wear state is detected, and the accuracy is high.
  • Step 108 When it is determined that the state is the wearing state, it is determined that the falling value of the measured value of the capacitive sensor is greater than the tenth threshold value within the second preset time length.
  • the specific values of the second preset time length and the tenth threshold may be determined in advance by experiments.
  • the method of step 108 can be used to determine that the smart device has fallen off, and then whether the sensor is in an unworn state, and the accuracy is high.
  • step 101 is directly performed.
  • FIG. 1C is a flowchart of another smart device wearing detection method according to an embodiment of the present invention.
  • the method includes the following steps 101 to 108.
  • the method further includes:
  • Step 109 When it is determined that the state is the wearing state, it is determined that it is not necessary to quickly detect the falling action according to the configuration information of the application opened on the smart device.
  • the upper application can dynamically configure whether to use the fast fall detection process, and the wear detection algorithm can adapt to different detection performance requirements.
  • the detection speed of the capacitive sensor is slow, it is first determined that it is not necessary to quickly detect the falling action, and then the capacitive sensor and other sensors are combined to determine whether the smart device is wearing. When it is determined that the falling action needs to be detected quickly, the second sensor is directly turned on for detection to meet the individual needs of the application.
  • FIG. 1D is a flowchart of another smart device wearing detection method according to an embodiment of the present invention.
  • the smart device includes a third sensor and a third sensor as an acceleration sensor, in addition to the foregoing first sensor and second sensor; In the foregoing steps 101 to 105, the method further includes:
  • Step 1010 Acquire a measured value of the acceleration sensor within a third preset time length.
  • the third preset time length may be determined in advance by experiments.
  • Step 1011 When the measured values of the acceleration sensors are less than the eleventh threshold in the third preset time length, it is determined that the smart device is in the unworn state.
  • the eleventh threshold can be determined experimentally in advance.
  • the data of the acceleration sensor for a long time can accurately determine that the smart device is in an unworn state, so that the detection result of the first sensor and/or the second sensor can be corrected, thereby improving the accuracy of the wearing detection.
  • FIG. 1D is only one possible embodiment provided by the present invention, and those skilled in the art may understand that there may also be an embodiment formed by steps 101 to 108 and steps 1010 and 1011, and steps 101 to 109 and step 1010. And the embodiment formed by step 1011.
  • the 2A is a structural diagram of a smart device, which is used to perform the smart device wearing detection method provided by the embodiment of the present invention.
  • the smart device includes: a memory 201, a processor 202, and a first sensor 203. And a second sensor 204, wherein the first sensor 203 is a capacitive sensor;
  • a memory 201 configured to store program instructions
  • the processor 202 is configured to: according to the program instruction stored in the memory 201, perform the following operations: acquire a measured value of the capacitive sensor; when the measured value of the capacitive sensor is greater than the first threshold, determine that the smart device is in a wearing state; when the measured value of the capacitive sensor is less than When the second threshold is determined, it is determined that the smart device is a non-wearing state, wherein the first threshold is greater than the second threshold; when the measured value of the capacitive sensor is greater than and/or equal to the second threshold and less than and/or equal to the first threshold, turning on the second sensor 204; acquiring the second sensor 204 The measured value is determined according to the measured value of the second sensor 204, and the smart device is determined to be in a worn state and/or an unworn state.
  • the second sensor 204 is an infrared sensor; the processor 202 performs an operation of determining that the smart device is in a worn state and/or an unworn state according to the measured value of the second sensor 204, including: when the measured value of the infrared sensor is greater than And/or equal to the third threshold and less than and/or equal to the fourth threshold, determining that the smart device is in a wearing state, wherein the third threshold is less than a fourth threshold; when the measured value of the infrared sensor is greater than the fourth threshold, and/or When the measured value of the infrared sensor is less than the third threshold, it is determined that the smart device is in an unworn state.
  • the second sensor 204 is a heart rate detection sensor; the processor 202 performs an operation of determining that the smart device is in a worn state and/or an unworn state based on the measured value of the second sensor 204, including: when the heart rate detecting sensor is Determining that the smart device is in a wearing state when the measured value is greater than and/or equal to the fifth threshold and less than and/or equal to the sixth threshold, wherein the fifth threshold is less than the sixth threshold; when the measured value of the heart rate detecting sensor is greater than the sixth threshold And/or, when the measured value of the heart rate detecting sensor is less than the fifth threshold, determining that the smart device is in an unworn state.
  • the second sensor 204 is a body temperature detecting sensor; the processor 202 performs an operation of determining that the smart device is in a worn state and/or an unworn state according to the measured value of the second sensor 204, including: when the body temperature detecting sensor is Determining that the smart device is in a wearing state when the measured value is greater than and/or equal to the seventh threshold and less than and/or equal to the eighth threshold, wherein the seventh threshold is less than the eighth threshold; when the measured value of the body temperature detecting sensor is greater than the eighth threshold And/or, when the measured value of the body temperature detecting sensor is less than the seventh threshold, determining that the smart device is in an unworn state.
  • the processor 202 before performing the operation of acquiring the measured value of the capacitive sensor, is further configured to perform the following operations according to the program instructions stored in the memory 201: determining a current state of the smart device, the state being the initial startup One of a state, an unworn state, and a wearing state; when it is determined that the state is an unworn state, determining a capacitance sensor for a first predetermined length of time The rising value of the measured value is greater than the ninth threshold; when it is determined that the state is the wearing state, determining that the falling value of the measured value of the capacitive sensor is greater than the tenth threshold for the second predetermined length of time.
  • the processor 202 is further configured to: according to the program instructions stored in the memory 201, when determining that the state is a wearing state, determining, according to configuration information of an application that is enabled on the smart device, that the fast detection does not need to be detected action.
  • the smart device further includes a third sensor 205, and the third sensor 205 is an acceleration sensor; the processor 202 is further configured to perform the following operations according to the program instructions stored in the memory 201: acquiring the third preset The measured value of the acceleration sensor in the length of time; when the measured value of the acceleration sensor is less than the eleventh threshold within the third preset time length, it is determined that the smart device is in the unworn state.
  • the processor 202 is further configured to perform according to the memory 201 after performing an operation according to the measurement value of the second sensor 204 to determine that the smart device is in a worn state and/or an unworn state.
  • the program instructions stored therein perform the following operations: turning off the second sensor 204.
  • FIG. 2C is a structural diagram of another smart device according to an embodiment of the present invention, where the smart device is configured to perform a smart device wearing detection method, where the smart device includes: a first sensor and a second sensor, where The first sensor is a capacitive sensor, and the smart device further includes:
  • An obtaining unit 211 configured to acquire a measured value of the capacitive sensor
  • the processing unit 212 is configured to: when the measured value of the capacitive sensor acquired by the acquiring unit 211 is greater than the first threshold, determine that the smart device is in a wearing state; when the measured value of the capacitive sensor is less than the second threshold, determine that the smart device is in an unworn state, Wherein the first threshold is greater than the second threshold; when the measured value of the capacitive sensor is greater than and/or equal to the second threshold and less than and/or equal to the first threshold, the second sensor is turned on;
  • the obtaining unit 211 is further configured to acquire a measured value of the second sensor
  • the processing unit 212 is further configured to determine, according to the measured value of the second sensor acquired by the obtaining unit 211, that the smart device is in a wearing state and/or an unworn state.
  • the second sensor is an infrared sensor
  • the processing unit 212 is configured to determine that the smart device is in a wearing state when the measured value of the infrared sensor acquired by the acquiring unit 211 is greater than and/or equal to the third threshold and is less than and/or equal to the fourth threshold, where the third threshold is less than
  • the fourth threshold is determined when the measured value of the infrared sensor acquired by the acquiring unit 211 is greater than the fourth threshold, and/or when the measured value of the infrared sensor acquired by the acquiring unit 211 is less than the third threshold, determining that the smart device is in the unworn state.
  • the second sensor is a heart rate detecting sensor
  • the processing unit 212 is configured to: when the measured value of the heart rate detecting sensor acquired by the acquiring unit 211 is greater than and/or equal to the fifth threshold and less than and/or equal to the sixth threshold, determining that the smart device is in a wearing state, wherein the fifth threshold is When the measured value of the heart rate detecting sensor acquired by the acquiring unit 211 is greater than the sixth threshold, and/or when the measured value of the heart rate detecting sensor is less than the fifth threshold, it is determined that the smart device is in the unworn state.
  • the second sensor is a body temperature detecting sensor
  • the processing unit 212 is configured to determine that the smart device is in a wearing state when the measured value of the body temperature detecting sensor acquired by the acquiring unit 211 is greater than and/or equal to the seventh threshold and is less than or equal to the eighth threshold, wherein the seventh threshold is When the measured value of the body temperature detecting sensor acquired by the acquiring unit 211 is greater than the eighth threshold, and/or when the measured value of the body temperature detecting sensor acquired by the acquiring unit 211 is less than the seventh threshold, it is determined that the smart device is not Wearing state.
  • the processing unit 212 is further configured to: before the acquiring unit 211 acquires the measured value of the capacitive sensor, determine a current state of the smart device, where the state is one of a booting initial state, an unworn state, and a wearing state. When it is determined that the state is an unworn state, determining that a rising value of the measured value of the capacitive sensor is greater than a ninth threshold value within a first preset time length; and determining that the state is a wearing state, determining that the second pre-predetermined state It is assumed that the measured value of the capacitive sensor decreases over a length of time greater than a tenth threshold.
  • the processing unit 212 is further configured to: when determining that the state is the wearing state, determine, according to the configuration information of the application that is turned on on the smart device, that it is not necessary to quickly detect the falling action.
  • the smart device further includes a third sensor, and the third sensor is acceleration sensing Device
  • the acquiring unit 211 is further configured to acquire a measured value of the acceleration sensor within a third preset time length;
  • the processing unit 212 is further configured to: when the measured values of the acceleration sensors are all less than the eleventh threshold for a third preset time length, determine that the smart device is in an unworn state.
  • the processing unit 212 is further configured to: after determining that the smart device is in a wearing state and/or an unwearing state according to the measured value of the second sensor, turning off the second sensor.
  • the smart device wearing detection method provided by the present invention is described in detail below through a specific embodiment.
  • the data detected by the plurality of sensors on the wearable smart device is used for wear detection, and different sensors are used for detecting and confirming in different scenarios, thereby improving wear detection accuracy and optimizing wear detection.
  • the power consumption enhances the user experience of using various wear detection scenarios.
  • the invention divides the wearing detection into the following scenarios: detection of the initial state of the booting; detection of the unworn state; detection by the wearing state.
  • the detection in the wearing state is divided into two cases:
  • FIG. 3 is a schematic structural diagram of another smart device according to an embodiment of the present invention.
  • the smart device includes a Micro Controller Unit (MCU) 301, a Capacitive Sensor (CAP Sensor) 302, and an Infrared Radiation (IR).
  • the sensor 303 and the acceleration sensor (A-Sensor) 304 wherein the IR sensor 303 is specifically an IR sensor part in a Photoplethysmogram (PPG) sensor, and the MCU 301 includes a hardware driving module 3011 and a wearing detection algorithm module 3012.
  • each sensor is connected and communicated with the MCU 301 through an Inter-Integrated Circuit (IIC).
  • IIC Inter-Integrated Circuit
  • the MCU 301 configures the operating parameters of each sensor, such as configuring the sampling frequency of the CAP Sensor 302 and/or PPG (IR) 303 and/or A-Sensor 304, and transmitting the IR 303. Current intensity, gain, etc.
  • Each sensor is responsible for data acquisition, and the data calculation and result output are performed on the MCU 301.
  • the MCU 301 software controls the opening and closing of each sensor according to the scene logic of the application module 3013.
  • the scene logic here includes: when the initial state determination is started, the CAP Sensor 302 is started to perform initial state detection. When the CAP Sensor 302 reading cannot accurately determine the state, the IR 303 is activated to confirm the status, and the IR303 is turned off after the confirmation is completed; in the unworn state, Use the same logic to detect whether a wearing action occurs. In the wearing state, if fast fall detection is not required, use the same logic as the unworn state to monitor whether the falling action occurs. If fast fall detection is required, turn off the CAP Sensor 302, only use The IR303 reading value is judged by the falling action.
  • A-Sensor 304 is generally used to collect user motion data and is in a normally open state.
  • the sensor periodically collects data according to the configured data sampling frequency, and the collected data is uploaded to the software processing module inside the MCU 301 through the IIC bus.
  • the software processing module is specifically wearing the detection algorithm module 3012: the wearing detection algorithm module 3012 obtains sensor data from the underlying hardware. Running the algorithm logic, the output device is worn and/or not worn; the application module 3013 obtains the wearing and/or non-pending state information of the device through a software interface with the wearing detection algorithm module 3012, and presents different UI3014 according to the information. To the user.
  • the wear detection algorithm module 3012 and the application module 3013 and/or UI 3014 can run on the same MCU processor or on different processors. When running on different processors, the wear detection algorithm module 3012 and the application module 3013 communicate state information through an inter-core communication mechanism between the processors.
  • the algorithm flow of each sensor is designed to be worn.
  • the configuration parameters of the sensor are different, and the power consumption generated will be different, but in general, the power consumption of the CAP Sensor is much lower than that of the IR. This is also an important consideration for the power consumption optimization of the algorithm solution. Therefore, in most scenarios of the embodiment of the present invention, the CAP Sensor is used for detection. When the reading of the CAP Sensor cannot accurately determine whether the smart device is worn or not. Then, use IR for detection. See the correspondence table between the scene and the wearing detection algorithm shown in Table 1.
  • the specific wearing detection algorithm is related to the scene in which the smart device is located, and/or the specific wearing detection algorithm is related to the current state of the smart device.
  • FIG. 4 is a schematic diagram of an overall process of wearing detection according to an embodiment of the present invention.
  • the detection of the initial state is performed; according to the detection result of the initial state, the wearing state and/or the unworn state, respectively, the detection flow in the wearing state and/or the unworn state is entered.
  • FIG. 5 is a schematic diagram of an initial state detection process according to an embodiment of the present invention.
  • the CAP Sensor is activated for detection.
  • the wear state is directly output;
  • the average reading of the CAP Sensor is less than the absolute unworn threshold X2, the unworn state is directly output;
  • the IR is started for the wearing test.
  • the IR reading is within the range of the wearing threshold [R1, R2], the output is worn. Status, otherwise, the output is not worn.
  • the CAP average thresholds X1 and X2 selected by different devices may have a large difference.
  • IR The reading value is also related to the device used. Different device IR thresholds R1 and R2 will also have a large difference. The above threshold can be determined based on the results of the sample acquisition data analysis.
  • FIG. 6 is a schematic diagram of a detection process in an unworn state according to an embodiment of the present invention. Whether the main detecting device has worn the action in the unworn state, and the trigger state changes from the unworn state to the worn state. Specifically, it is monitored whether the CAP reading has an upward jump, and if an upward jump occurs, a wearing action may occur; and when it is detected that the wearing action may be triggered, the average reading value of the CAP is used for confirmation. . The subsequent process is similar to the initial state detection process. As can be seen from the above process, the strategy is in the unworn state, and the CAP reading value is the main state judgment, which brings about power saving. When the CAP reading value cannot be confirmed, the IR is started again, and the IR is used. The reading value is confirmed.
  • FIG. 7 is a schematic diagram of a detection process in a wearing state according to an embodiment of the present invention.
  • the data stability of the CAP Sensor is worse than that of the IR.
  • the CAP Sensor reading value can be used to judge the demand. For example, when using a watch to pay, it is necessary to quickly detect the falling action, and the user needs to input a password to make a payment after falling off, so as to ensure the security of payment. Based on this consideration, the detection in the wearing state is divided into two scenarios, a scene that needs to be quickly detached and a scene that does not require fast detach detection.
  • the detection of CAP Sensor is still the main judgment.
  • the CAP Sensor detects a falling edge, there may be a shedding action.
  • the judgment of the CAP average reading value and the IR assisted confirmation flow are started.
  • the CAP Sensor is turned off and the IR detection value is output only to wear the test result.
  • FIG. 8 is a schematic flowchart of a method for correcting a wearing detection state assisted by an A-Sensor according to an embodiment of the present invention.
  • the A-Sensor can detect acceleration data in three directions of the X/Y/Z axis of the user motion.
  • the data output in these three directions is the noise data of the device, and the amplitude is at a low level. If the acceleration data output by the device is at the noise level of the device for a long time, you can confirm that the device is in a stationary state.
  • the state is corrected by the data of the A-Sensor, and the unworn state is output, thereby improving the accuracy of the wearing detection.
  • the acceleration sensor measurement value itself has a certain noise
  • the device is not worn on the tabletop stationary scene and the user wears the device
  • the basically inactive scene has similar acceleration characteristic values in a short time, and cannot distinguish between wearing and not according to this. Wearing state.
  • a long period of time such as 2 hours
  • the invention combines the multi-sensor technology to perform the wear detection, improves the wear detection accuracy, and adopts different detection schemes according to the use scenario, and optimizes the wear detection power consumption.
  • This technology is used on smart wearable devices to enhance the user experience.
  • the technical solution is mainly used for a scene in which a smart wearable device performs wear detection.
  • These devices include smart wristbands, smart watches and other devices that can be worn on the wrist, as well as other wearable devices, such as smart necklaces, as long as the device body is in good contact with the human body when worn.
  • the wear detection process described above data of a plurality of sensors is integrated, and the wear detection is performed according to different scenarios of the application, and the sensor may be, but not limited to, CAP Sensor, IR, A-Sensor.
  • the heart rate detecting sensor and/or the body temperature detecting sensor may be added to confirm the state of the reading of the heart rate sensor and/or the body temperature detecting sensor when it is judged that the suspected wearing and/or the unworn state is determined.
  • the heart rate sensor and the body temperature detecting sensor work, the power consumption is high and cannot be in the normally open state. Otherwise, the standby and working time of the device will be greatly affected. Therefore, when other low-power sensors cannot be accurately recognized, these sensors are activated. Performing status confirmation can improve the detection accuracy based on lower power consumption.
  • the smart device may include one and/or multiple processors.
  • the wear detection algorithm may run on the MCU, and the wear detection algorithm may also run according to different hardware solutions.
  • processors such as the watch application (AP) processor.
  • Non-transitory medium such as random access memory, read-only memory, flash memory, hard disk, solid state hard disk, magnetic tape (English: magnetic tape), floppy disk (English: floppy disk), optical disk (English: optical Disc) and any combination thereof.

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Abstract

本发明实施例涉及智能设备佩戴检测方法及智能设备，智能设备包括第一传感器和第二传感器，该方法包括：获取第一传感器的测量值；当第一传感器的测量值大于第一阈值时，确定智能设备处于佩戴状态；当第一传感器的测量值小于第二阈值时，确定智能设备处于未佩戴状态，其中，第一阈值大于第二阈值；当第一传感器的测量值大于和/或等于第二阈值,并且小于和/或等于第一阈值时，开启第二传感器；获取第二传感器的测量值；根据第二传感器的测量值，确定智能设备处于佩戴状态和/或未佩戴状态。由上可见，本发明实施例中，能够在保证检测准确度的前提下减少功耗。

Description

智能设备佩戴检测方法及智能设备 技术领域
本发明实施例涉及终端领域，尤其涉及智能设备佩戴检测方法及智能设备。
背景技术
当前存在着多种可穿戴的智能设备，这些智能设备也称为智能穿戴式设备，通过佩戴检测方案，检测用户是否佩戴智能穿戴式设备，也就是说，检测智能设备处于佩戴状态和/或未佩戴状态。根据智能设备状态的不同，智能设备支持不同的功能，该策略在智能穿戴式设备上已有较多的应用。如Apple watch设置密码锁后，设备上锁状态与佩戴状态相关连。当未佩戴设备时，每次使用设备时都需输入解锁码，而佩戴设备后，只需首次使用时输入解锁码。Fitbit surge根据用户是否佩戴设备来判断是否要启动心率测量，在用户未佩戴设备的情况下，不启动心率测量。
现有技术中，这些设备的佩戴检测方法，使用单一的红外(Infrared Radiation，IR)传感器和/或者加速度传感器(Acceleration sensor，A-Sensor)进行检测。例如，Apple Watch使用单一的IR进行佩戴检测，亮屏的时候，启动佩戴状态的检测。如果检测到佩戴状态，并且在该次佩戴时没有输入过密码，则要求输入密码。佩戴状态下灭屏后，持续进行未佩戴状态的监测。在未佩戴和灭屏的情况下，不进行佩戴状态的检测。Fitbit surge使用加速度传感器进行佩戴检测。当设备静置在桌面上的时候，加速度传感器检测不到动作，立即停止光电容积图(Photoplethysmogram，PPG)测量，晃动设备，加速度传感器检测到动作，PPG测量立即启动。
由上可见，现有技术中，Apple watch使用IR进行佩戴检测，IR测量功耗较高，Fitbit Surge根据加速度传感器来判断佩戴状态，当设备放置在桌面时，用手轻微晃动设备，设备即认为进入佩戴状态，启动PPG测量，准确度不高，也就是说，现有技术的佩戴检测方法中，难以在保证检测准确度的前提下减少功耗。
发明内容
本发明实施例提供了智能设备佩戴检测方法及智能设备，能够在保证检测准确度的前提下减少功耗。
一方面，提供了一种智能设备佩戴检测方法，智能设备包括第一传感器和第二传感器。获取第一传感器的测量值；当第一传感器的测量值大于第一阈值时，确定智能设备处于佩戴状态；当第一传感器的测量值小于第二阈值时，确定智能设备处于未佩戴状态，其中，第一阈值大于第二阈值；当第一传感器的测量值大于和/或等于第二阈值且小于和/或等于第一阈值时，开启第二传感器；获取第二传感器的测量值；根据第二传感器的测量值，确定智能设备处于佩戴状态和/或未佩戴状态。
本发明实施例中，融合智能设备上的多个传感器检测到的数据进行佩戴检测，先使用第一传感器进行佩戴检测，该第一传感器可以但不限于为功耗低的电容传感器，当该电容传感器无法准确判断时，再使用功耗高的其他传感器进行佩戴检测，提高了佩戴检测的准确率，并优化了佩戴检测的功耗。
在一种可能的实施方式中，第一传感器为电容传感器，第二传感器为红外传感器，当红外传感器的测量值大于和/或等于第三阈值且小于和/或等于第四阈值时，确定智能设备处于佩戴状态，其中，第三阈值小于第四阈值；当红外传感器的测量值大于第四阈值时，和/或者，当红外传感器的测量值小于第三阈值时，确定智能设备处于未佩戴状态。
本发明实施例中，给出了第一传感器和第二传感器的一种具体类型，由 于电容传感器功耗较低，但在某些测量值时无法判断是否为佩戴状态，因此结合红外传感器的测量值判断是否为佩戴状态，可以提高佩戴检测的准确率，并优化佩戴检测的功耗。
在一种可能的实施方式中，第一传感器为电容传感器，第二传感器为心率检测传感器，当心率检测传感器的测量值大于和/或等于第五阈值且小于和/或等于第六阈值时，确定智能设备处于佩戴状态，其中，第五阈值小于第六阈值；当心率检测传感器的测量值大于第六阈值时，和/或者，当心率检测传感器的测量值小于第五阈值时，确定智能设备处于未佩戴状态。
本发明实施例中，给出了第一传感器和第二传感器的一种具体类型，由于电容传感器功耗较低，但在某些测量值时无法判断是否为佩戴状态，因此结合心率检测传感器的测量值判断是否为佩戴状态，可以提高佩戴检测的准确率，并优化佩戴检测的功耗。
在一种可能的实施方式中，第一传感器为电容传感器，第二传感器为体温检测传感器，当体温检测传感器的测量值大于和/或等于第七阈值且小于和/或等于第八阈值时，确定智能设备处于佩戴状态，其中，第七阈值小于第八阈值；当体温检测传感器的测量值大于第八阈值时，和/或者，当体温检测传感器的测量值小于第七阈值时，确定智能设备处于未佩戴状态。
本发明实施例中，给出了第一传感器和第二传感器的一种具体类型，由于电容传感器功耗较低，但在某些测量值时无法判断是否为佩戴状态，因此结合体温检测传感器的测量值判断是否为佩戴状态，可以提高佩戴检测的准确率，并优化佩戴检测的功耗。
在一种可能的实施方式中，在获取第一传感器的测量值之前，先确定智能设备当前所处的状态，该状态为开机初始状态、未佩戴状态和佩戴状态中的一种；当确定该状态为未佩戴状态时，确定在第一预设时间长度内电容传感器的测量值的上升值大于第九阈值；当确定该状态为佩戴状态时，确定在第二预设时间长度内电容传感器的测量值的下降值大于第十阈值。
本发明实施例中，通过确定智能设备当前所处的状态，从而可以优化佩戴检测的算法，进一步提高佩戴检测的准确率。其中，由于在佩戴动作发生时，会触发第一传感器读数的一个明显的上升沿值，在脱落设备的时候，会触发第一传感器读数的一个明显的下降沿值，因此判断测量值的上升沿和下降沿可以较准确的检测佩戴设备和脱落设备的动作，在检测到佩戴设备和脱落设备的动作之后，再进行佩戴状态和/或未佩戴状态的判断，可以进一步提高佩戴检测的准确率。
在一种可能的实施方式中，当确定状态为佩戴状态时，根据智能设备上开启的应用的配置信息，确定不需要快速检测脱落动作。
本发明实施例中，针对第一传感器可能检测时间较长这一特点，当确定当前状态为佩戴状态时，先确定不需要快速检测脱落动作，然后再执行相应的检测方法，可以在需要快速检测脱落动作时也能够满足用户需求。
在一种可能的实施方式中，智能设备还包括第三传感器，第三传感器为加速度传感器；获取在第三预设时间长度内加速度传感器的测量值；当在第三预设时间长度内加速度传感器的测量值均小于第十一阈值时，确定智能设备处于未佩戴状态。
本发明实施例中，通过加速度传感器长时间的数据可以较为准确的判断出智能设备处于未佩戴状态，从而可以对第一传感器和/或第二传感器的检测结果进行校正，提高佩戴检测的准确率。
在一种可能的实施方式中，根据第二传感器的测量值，确定智能设备处于佩戴状态和/或未佩戴状态之后，关闭第二传感器。
本发明实施例中，在使用第二传感器之后，关闭第二传感器，可以有效减少功耗。
另一方面，提供了一种智能设备，该智能设备可以实现上述方法示例中智能设备所执行的功能，所述功能可以通过硬件实现，也可以通过硬件执行相应的软件实现。所述硬件和/或软件包括一个和/或多个上述功能相应的单 元和/或模块。
在一种可能的设计中，该智能设备的结构中包括处理器、第一传感器和第二传感器，该处理器被配置为支持该智能设备执行上述方法中相应的功能。该第一传感器和该第二传感器用于得到测量值。该智能设备还可以包括存储器，该存储器用于与处理器耦合，其保存该智能设备必要的程序指令和数据。
再一方面，本发明实施例提供了一种计算机存储介质，用于储存为上述智能设备所用的计算机软件指令，其包含用于执行上述方面所设计的程序。
相较于现有技术，本发明实施例提供的智能设备佩戴检测方法中，融合智能设备上的多个传感器检测到的数据进行佩戴检测，先使用功耗低的第一传感器进行佩戴检测，当该第一传感器无法准确判断时，再使用功耗高的其他传感器进行佩戴检测，提高了佩戴检测的准确率，并优化了佩戴检测的功耗。
附图说明
图1A为本发明实施例提供的一种智能设备佩戴检测方法流程图；
图1B为本发明实施例提供的另一种智能设备佩戴检测方法流程图；
图1C为本发明实施例提供的另一种智能设备佩戴检测方法流程图；
图1D为本发明实施例提供的另一种智能设备佩戴检测方法流程图；
图2A为本发明实施例提供的一种智能设备结构图；
图2B为本发明实施例提供的另一种智能设备结构图；
图2C为本发明实施例提供的另一种智能设备结构图；
图3为本发明实施例提供的另一种智能设备结构示意图；
图4为本发明实施例提供的佩戴检测的总体流程示意图；
图5为本发明实施例提供的初始状态检测流程示意图；
图6为本发明实施例提供的未佩戴状态下检测流程示意图；
图7为本发明实施例提供的佩戴状态下检测流程示意图；
图8为本发明实施例提供的通过A-Sensor辅助进行佩戴检测状态的矫正方法流程示意图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
本发明实施例中，主要涉及三类传感器：电容传感器(CAP Sensor)、红外传感器(IR Sensor)和加速度传感器(A-Sensor)，其中，智能设备所使用的PPG组件通常包含绿光和红外光两部分，可以使用其中的红外光部分进行佩戴检测。下面对这三类传感器进行简单介绍。电容传感器测量设备在佩戴和/或者未佩戴时不同的电容值，根据电容值的大小来区分佩戴状态和/或未佩戴状态，和/或者根据电容值的变化来检测发生了佩戴设备的动作和/或者脱落设备的动作；红外传感器测量设备与不同的物体接触时，IR反射光的强度，根据反射光强度的不同来区分设备是否为佩戴状态；加速度传感器测量设备佩戴和未佩戴时，X/Y/Z三轴方向加速度，计算和加速度，根据佩戴和未佩戴时和加速度的差异来区分是否为佩戴状态。
通过实验对电容传感器和红外传感器进行数据采集，获取并分析实验数据，可以得出电容传感器和红外传感器的一些测量值的特点，具体实验情况如下：
对CAP Sensor，IR数据进行样例分析，使用带有CAP Sensor，IR的样机，分别在不同的场景下对CAP Sensor的读数值，IR的读数值进行数据采集。
CAP Sensor数据采集的场景包括：样机佩戴较松采集CAP Sensor数据；样机佩戴较紧采集CAP Sensor数据；样机未佩戴，底部接触不同的材质和侧 放在不同的材质上，采集CAP Sensor数据。这些材质包括：纸张，木桌，玻璃，塑料，铁皮，皮革，棉布；连续多次佩戴，脱落样机采集CAP Sensor数据。
根据对这些场景采集到的CAP Sensor数据进行分析，总结出下面的规律：1)判断Cap上升沿和下降沿可以较准确的检测佩戴设备和脱落设备的动作，在佩戴动作发生时，会触发CAP读数的一个明显的上升沿值，在脱落设备的时候，会触发CAP读数的一个明显的下降沿值。2)佩戴紧时，CAP值与未佩戴时有一定区分度；但与放在铁皮上区分度较小，此种场景根据CAP值判断佩戴状态存在误判的可能性。3)佩戴松时，CAP与未佩戴时有重合，无法判断是否佩戴。
IR数据采集的场景包括：佩戴样机，处于不同的松紧度，测量IR反射光强度的读数值；不同的松紧度包括使样机底部紧贴皮肤，样机底部离皮肤0.5cm，1cm，1.5cm等几种场景；未佩戴样机，样机悬空；未佩戴样机，样机底部紧贴不同的材质和离材质2mm的距离；这些不同的材质包括：木桌，纸张，塑料，玻璃，铁皮几种场景。
通过对这些场景采集到的IR数据进行分析，总结出如下的规律：佩戴稳定状态下，佩戴不同松紧，IR数据分布基本稳定，基本在正常佩戴区间内，佩戴场景和未佩戴场景IR数据有较好区分度。
本发明实施例中，根据电容传感器的测量值的特点，采用电容传感器与红外传感器相结合进行佩戴检测，和/或采用电容传感器与其他类型的传感器相结合进行佩戴检测，来达到提高佩戴检测的准确率并优化佩戴检测的功耗的目的。
当本发明实施例提及“第一”、“第二”等序数词时，除非根据上下文其确实表达顺序之意，应当理解为仅仅起区分的作用。
本发明实施例中仅以第一传感器为电容传感器进行说明，但是并不用于对第一传感器的类型的限定。
图1A为本发明实施例提供的一种智能设备佩戴检测方法流程图，智能设备包括第一传感器和第二传感器，其中，第一传感器为电容传感器，第二传感器为其他类型的传感器，例如，红外传感器、心率检测传感器和/或体温检测传感器，该方法包括：
步骤101，获取电容传感器的测量值。
具体地，可以读取电容传感器在预设时间长度内的多个读数，再对这些读数取平均值，将该平均值作为电容传感器的测量值。
步骤102，当电容传感器的测量值大于第一阈值时，确定智能设备处于佩戴状态；当电容传感器的测量值小于第二阈值时，确定智能设备处于未佩戴状态，其中，第一阈值大于第二阈值。
本发明实施例中，可以预先通过实验确定上述第一阈值和第二阈值的具体数值，其中，第一阈值为能够根据电容传感器的测量值准确确定智能设备处于佩戴状态的临界值，第二阈值为能够根据电容传感器的测量值准确确定智能设备处于未佩戴状态的临界值。
步骤103，当电容传感器的测量值大于和/或等于第二阈值且小于和/或等于第一阈值时，开启第二传感器。
其中，当电容传感器的测量值大于和/或等于第二阈值且小于和/或等于第一阈值时，根据电容传感器的测量值不能够准确判断出智能设备是否处于佩戴状态，此时再开启第二传感器，在此之前，第二传感器处于关闭状态。
步骤104，获取第二传感器的测量值。
其中，可以读取第二传感器在某一时刻的读数，将该读数作为第二传感器的测量值，也可以读取第二传感器在预设时间长度内的多个读数，再对这些读数取平均值，将该平均值作为第二传感器的测量值。
步骤105，根据第二传感器的测量值，确定智能设备处于佩戴状态和/或未佩戴状态。
其中，在确定出智能设备处于佩戴状态和/或未佩戴状态后，可以关闭第 二传感器。
在一个示例中，第二传感器为红外传感器，当红外传感器的测量值大于和/或等于第三阈值且小于和/或等于第四阈值时，确定智能设备处于佩戴状态，其中，第三阈值小于第四阈值。当红外传感器的测量值大于第四阈值时，和/或者，当红外传感器的测量值小于第三阈值时，确定智能设备处于未佩戴状态。
本发明实施例中，可以预先通过实验确定上述第三阈值和第四阈值的具体数值，其中，第三阈值为能够根据红外传感器的测量值准确确定智能设备处于佩戴状态的下限，第四阈值为能够根据红外传感器的测量值准确确定智能设备处于佩戴状态的上限。
在另一个示例中，第二传感器为心率检测传感器，当心率检测传感器的测量值大于和/或等于第五阈值且小于和/或等于第六阈值时，确定智能设备处于佩戴状态，其中，第五阈值小于第六阈值；当心率检测传感器的测量值大于第六阈值时，和/或者，当心率检测传感器的测量值小于第五阈值时，确定智能设备处于未佩戴状态。
本发明实施例中，可以根据人的心率的正常范围确定上述第五阈值和第六阈值的具体数值，例如，第五阈值为40次/分钟，第六阈值为160次/分钟。
在另一个示例中，第二传感器为体温检测传感器，当体温检测传感器的测量值大于和/或等于第七阈值且小于和/或等于第八阈值时，确定智能设备处于佩戴状态，其中，第七阈值小于第八阈值；当体温检测传感器的测量值大于第八阈值时，和/或者，当体温检测传感器的测量值小于第七阈值时，确定智能设备处于未佩戴状态。
本发明实施例中，可以根据人的体温的正常范围确定上述第七阈值和第八阈值的具体数值，例如，第七阈值为36℃，第八阈值为39℃。
本发明实施例中，首先使用低功耗的器件进行佩戴状态的初步检测，在低功耗的器件不能准确判断的情况下，使用稳定性好、准确性高的器件进行 状态确认，从而有效降低了佩戴检测的功耗。
图1B为本发明实施例提供的另一种智能设备佩戴检测方法流程图，该方法除了包括前述步骤101至105，在执行步骤101之前，该方法还包括：
步骤106，确定智能设备当前所处的状态，该状态为开机初始状态、未佩戴状态和佩戴状态中的一种。
步骤107，当确定该状态为未佩戴状态时，确定在第一预设时间长度内电容传感器的测量值的上升值大于第九阈值。
本发明实施例中，可以预先通过实验确定上述第一预设时间长度和第九阈值的具体数值。
由于，当用户发生佩戴动作时，电容传感器的测量值会有一个向上的跳变，因此通过步骤107的方式可以确定用户发生了佩戴动作，之后再检测是否为佩戴状态，准确性较高。
步骤108，当确定该状态为佩戴状态时，确定在第二预设时间长度内电容传感器的测量值的下降值大于第十阈值。
本发明实施例中，可以预先通过实验确定上述第二预设时间长度和第十阈值的具体数值。
由于，当智能设备发生脱落时，电容传感器的测量值会有一个向下的跳变，因此通过步骤108的方式可以确定智能设备发生脱落，之后再检测是否为未佩戴状态，准确性较高。
此外，当确定该状态为开机初始状态时，直接执行步骤101。
图1C为本发明实施例提供的另一种智能设备佩戴检测方法流程图，该方法除了包括前述步骤101至108，该方法还包括：
步骤109，当确定该状态为佩戴状态时，根据智能设备上开启的应用的配置信息，确定不需要快速检测脱落动作。
根据使用场景不同，上层应用可以动态配置是否需要使用快速脱落检测流程，佩戴检测算法可以适应不同检测性能的需求。
由于电容传感器的检测速度较慢，因此先确定不需要快速检测脱落动作，然后再利用电容传感器和其他传感器相结合判断智能设备是否为佩戴状态。当确定需要快速检测脱落动作时，直接开启第二传感器进行检测，以便符合应用的个性化需求。
图1D为本发明实施例提供的另一种智能设备佩戴检测方法流程图，智能设备除了包括前述第一传感器和第二传感器，还包括第三传感器，第三传感器为加速度传感器；该方法除了包括前述步骤101至105，该方法还包括：
步骤1010，获取在第三预设时间长度内加速度传感器的测量值。
其中，可以预先通过实验确定第三预设时间长度。
步骤1011，当在第三预设时间长度内加速度传感器的测量值均小于第十一阈值时，确定智能设备处于未佩戴状态。
其中，可以预先通过实验确定第十一阈值。
本发明实施例中，通过加速度传感器长时间的数据可以较为准确的判断出智能设备处于未佩戴状态，从而可以对第一传感器和/或第二传感器的检测结果进行校正，提高佩戴检测的准确率。
此外，图1D仅为本发明提供的一种可能的实施例，本领域人员可以了解，还可以存在步骤101至108及步骤1010和步骤1011构成的实施例，以及，步骤101至109及步骤1010和步骤1011构成的实施例。
图2A为本发明实施例提供的一种智能设备结构图，该智能设备用于执行本发明实施例提供的智能设备佩戴检测方法，该智能设备包括：存储器201、处理器202、第一传感器203和第二传感器204，其中，第一传感器203为电容传感器；
存储器201，用于存储程序指令；
处理器202，用于根据存储器201存储的程序指令执行以下操作：获取电容传感器的测量值；当电容传感器的测量值大于第一阈值时，确定智能设备处于佩戴状态；当电容传感器的测量值小于第二阈值时，确定智能设备处于 未佩戴状态，其中，第一阈值大于第二阈值；当电容传感器的测量值大于和/或等于第二阈值且小于和/或等于第一阈值时，开启第二传感器204；获取第二传感器204的测量值；根据第二传感器204的测量值，确定智能设备处于佩戴状态和/或未佩戴状态。
在一个示例中，第二传感器204为红外传感器；处理器202执行根据第二传感器204的测量值，确定智能设备处于佩戴状态和/或未佩戴状态的操作，包括：当红外传感器的测量值大于和/或等于第三阈值且小于和/或等于第四阈值时，确定智能设备处于佩戴状态，其中，第三阈值小于第四阈值；当红外传感器的测量值大于第四阈值时，和/或者，当红外传感器的测量值小于第三阈值时，确定智能设备处于未佩戴状态。
在另一个示例中，第二传感器204为心率检测传感器；处理器202执行根据第二传感器204的测量值，确定智能设备处于佩戴状态和/或未佩戴状态的操作，包括：当心率检测传感器的测量值大于和/或等于第五阈值且小于和/或等于第六阈值时，确定智能设备处于佩戴状态，其中，第五阈值小于第六阈值；当心率检测传感器的测量值大于第六阈值时，和/或者，当心率检测传感器的测量值小于第五阈值时，确定智能设备处于未佩戴状态。
在另一个示例中，第二传感器204为体温检测传感器；处理器202执行根据第二传感器204的测量值，确定智能设备处于佩戴状态和/或未佩戴状态的操作，包括：当体温检测传感器的测量值大于和/或等于第七阈值且小于和/或等于第八阈值时，确定智能设备处于佩戴状态，其中，第七阈值小于第八阈值；当体温检测传感器的测量值大于第八阈值时，和/或者，当体温检测传感器的测量值小于第七阈值时，确定智能设备处于未佩戴状态。
在一个示例中，处理器202在执行获取电容传感器的测量值的操作之前，还用于根据存储器201中存储的程序指令执行以下操作：确定智能设备当前所处的状态，所述状态为开机初始状态、未佩戴状态和佩戴状态中的一种；当确定所述状态为未佩戴状态时，确定在第一预设时间长度内电容传感器的 测量值的上升值大于第九阈值；当确定所述状态为佩戴状态时，确定在第二预设时间长度内电容传感器的测量值的下降值大于第十阈值。
在一个示例中，处理器202还用于根据存储器201中存储的程序指令执行以下操作：当确定所述状态为佩戴状态时，根据智能设备上开启的应用的配置信息，确定不需要快速检测脱落动作。
参照图2B，在一个示例中，智能设备还包括第三传感器205，第三传感器205为加速度传感器；处理器202还用于根据存储器201中存储的程序指令执行以下操作：获取在第三预设时间长度内加速度传感器的测量值；当在第三预设时间长度内加速度传感器的测量值均小于第十一阈值时，确定智能设备处于未佩戴状态。
参照图2A和/或图2B，在一个示例中，处理器202在执行根据第二传感器204的测量值，确定智能设备处于佩戴状态和/或未佩戴状态的操作之后，还用于根据存储器201中存储的程序指令执行以下操作：关闭第二传感器204。
图2C为本发明实施例提供的另一种智能设备结构图，该智能设备用于执行本发明实施例提供的智能设备佩戴检测方法，该智能设备包括：第一传感器和第二传感器，其中，第一传感器为电容传感器，该智能设备还包括：
获取单元211，用于获取电容传感器的测量值；
处理单元212，用于当获取单元211获取的电容传感器的测量值大于第一阈值时，确定智能设备处于佩戴状态；当电容传感器的测量值小于第二阈值时，确定智能设备处于未佩戴状态，其中，第一阈值大于第二阈值；当电容传感器的测量值大于和/或等于第二阈值且小于和/或等于第一阈值时，开启第二传感器；
获取单元211，还用于获取第二传感器的测量值；
处理单元212，还用于根据获取单元211获取的第二传感器的测量值，确定智能设备处于佩戴状态和/或未佩戴状态。
在一个示例中，第二传感器为红外传感器；
处理单元212，具体用于当获取单元211获取的红外传感器的测量值大于和/或等于第三阈值且小于和/或等于第四阈值时，确定智能设备处于佩戴状态，其中，第三阈值小于第四阈值；当获取单元211获取的红外传感器的测量值大于第四阈值时，和/或者，当获取单元211获取的红外传感器的测量值小于第三阈值时，确定智能设备处于未佩戴状态。
在一个示例中，第二传感器为心率检测传感器；
处理单元212，具体用于当获取单元211获取的心率检测传感器的测量值大于和/或等于第五阈值且小于和/或等于第六阈值时，确定智能设备处于佩戴状态，其中，第五阈值小于第六阈值；当获取单元211获取的心率检测传感器的测量值大于第六阈值时，和/或者，当心率检测传感器的测量值小于第五阈值时，确定智能设备处于未佩戴状态。
在一个示例中，第二传感器为体温检测传感器；
处理单元212，具体用于当获取单元211获取的体温检测传感器的测量值大于和/或等于第七阈值且小于和/或等于第八阈值时，确定智能设备处于佩戴状态，其中，第七阈值小于第八阈值；当获取单元211获取的体温检测传感器的测量值大于第八阈值时，和/或者，当获取单元211获取的体温检测传感器的测量值小于第七阈值时，确定智能设备处于未佩戴状态。
在一个示例中，处理单元212还用于：在获取单元211获取电容传感器的测量值之前，确定智能设备当前所处的状态，所述状态为开机初始状态、未佩戴状态和佩戴状态中的一种；当确定所述状态为未佩戴状态时，确定在第一预设时间长度内电容传感器的测量值的上升值大于第九阈值；当确定所述状态为佩戴状态时，确定在第二预设时间长度内电容传感器的测量值的下降值大于第十阈值。
在一个示例中，处理单元212还用于：当确定所述状态为佩戴状态时，根据智能设备上开启的应用的配置信息，确定不需要快速检测脱落动作。
在一个示例中，智能设备还包括第三传感器，第三传感器为加速度传感 器；
获取单元211，还用于获取在第三预设时间长度内加速度传感器的测量值；
处理单元212还用于：当在第三预设时间长度内加速度传感器的测量值均小于第十一阈值时，确定智能设备处于未佩戴状态。
在一个示例中，处理单元212还用于：在根据所述第二传感器的测量值，确定智能设备处于佩戴状态和/或未佩戴状态之后，关闭第二传感器。
下面通过一个具体的实施例对本发明提供的智能设备佩戴检测方法进行详细说明。该实施例中，融合穿戴式智能设备上的多个传感器检测到的数据进行佩戴检测，在不同的场景下，使用不同的传感器进行检测和确认，提高了佩戴检测准确率，并优化了佩戴检测的功耗，增强各种使用佩戴检测场景的用户体验。
本发明将佩戴检测分为以下几个场景：开机初始状态的检测；未佩戴状态下检测；佩戴状态下检测。
根据设备具体使用场景的不同，佩戴状态下的检测又区分为两种情况：
有快速脱落检测需求的场景和没有快速脱落检测需求的场景。
图3为本发明实施例提供的另一种智能设备结构示意图，该智能设备包括微控制单元(Microcontroller Unit，MCU)301、电容传感器(Capacitive sensor，CAP Sensor)302、红外(Infrared Radiation，IR)传感器303和加速度传感器(Acceleration sensor，A-Sensor)304，其中，IR传感器303具体为光电容积图(Photoplethysmogram，PPG)传感器中的IR传感器部分，MCU301包括硬件驱动模块3011、佩戴检测算法模块3012、应用模块3013和用户界面(User Interface，UI)3014。本发明实施例中，各传感器通过两线式串行总线(Inter－Integrated Circuit，IIC)与MCU301进行连接和通信。初始化时，MCU301对各传感器的工作参数进行配置，例如配置CAP Sensor302和/或PPG(IR)303和/或A-Sensor304的采样频率，IR303的发射 电流强度，增益等。各传感器负责数据采集，数据的运算和结果输出均在MCU301上进行。
MCU301软件根据应用模块3013的场景逻辑，控制各传感器的开启和关闭。这里的场景逻辑包括：在开机初始状态判断时，启动CAP Sensor302进行初始状态检测，当CAP Sensor302读数不能准确进行状态判断时，启动IR303进行状态确认，确认完成后关闭IR303；在未佩戴状态下，使用相同的逻辑检测是否发生佩戴动作；在佩戴状态下，如果不需要进行快速脱落检测，使用与未佩戴状态相同的逻辑监测是否发生脱落动作，如果需要进行快速脱落检测，关闭CAP Sensor302，仅用IR303的读数值进行脱落动作判断。A-Sensor304一般用来进行用户运动数据的采集，处于常开的状态。
传感器按照配置的数据采样频率，定期采集数据，采集的数据通过IIC总线上传到MCU301内部的软件处理模块，该软件处理模块具体为佩戴检测算法模块3012：佩戴检测算法模块3012从底层硬件取得传感器数据，运行算法逻辑，输出设备佩戴和/或未佩戴状态；应用模块3013通过与佩戴检测算法模块3012之间的软件接口，获取设备的佩戴和/或未佩状态信息，根据这些信息呈现不同的UI3014给用户。佩戴检测算法模块3012和应用模块3013和/或UI3014可以运行在同一个MCU处理器上，也可以运行在不同的处理器上。当运行在不同的处理器上时，佩戴检测算法模块3012和应用模块3013之间通过处理器之间的核间通信机制进行状态信息的传递。
根据对实验采集的数据的分析，设计各传感器配合进行佩戴检测的算法流程。功耗方面，传感器的配置参数不同，产生的功耗会有差别，但总的来说，CAP Sensor的功耗要远低于IR的功耗。这个也是算法方案功耗优化的一个重要考虑因素，因此，本发明实施例的大多数场景中，先使用CAP Sensor进行检测，当CAP Sensor的读数无法准确判断智能设备为佩戴状态还是未佩戴状态时，再使用IR进行检测，参见表一所示的场景与佩戴检测算法的对应关系表。
Figure PCTCN2016099417-appb-000001
表一
由表一可见，具体采用的佩戴检测算法与智能设备所处的场景有关，和/或者说，具体采用的佩戴检测算法与智能设备的当前状态有关。
图4为本发明实施例提供的佩戴检测的总体流程示意图。开机时，进行初始状态的检测；根据初始状态的检测结果为佩戴状态和/或未佩戴状态，分别进入佩戴状态和/或未佩戴状态下的检测流程。
图5为本发明实施例提供的初始状态检测流程示意图。初始状态时，启动CAP Sensor进行检测，当CAP Sensor的读数平均值大于绝对佩戴门限X1时，直接输出佩戴状态；当CAP Sensor的读数平均值小于绝对未佩戴门限X2时，直接输出未佩戴状态；当CAP Sensor的读数平均值在X2和X1之间时，无法准确确定佩戴状态，这时候，启动IR进行佩戴检测，当IR的读数值在佩戴门限区间[R1,R2]范围内时，输出佩戴状态，否则，输出未佩戴状态。
其中，考虑设备选择的CAP Sensor器件，设备底壳材质等因素的影响，不同的设备最后选择的CAP平均值门限X1，X2会有较大的差别。同样，IR的 读数值也跟使用的器件相关，不同的设备IR门限R1，R2也会有较大的差别。上述门限可以根据样机采集数据分析的结果来确定。
图6为本发明实施例提供的未佩戴状态下检测流程示意图。未佩戴状态下主要检测设备是否发生了佩戴动作，触发状态由未佩戴状态变化到佩戴状态。具体地，监测CAP读数值是否发生了向上的跳变，如果发生了向上的跳变，则可能发生了佩戴动作；在监测到可能触发了佩戴动作的情况下，使用CAP的平均读数值进行确认。后续的整个过程与初始状态检测流程相似。从上面的流程可以看出，策略是在未佩戴状态，以CAP的读数值为主进行状态判断，带来功耗的节省，当CAP的读数值不能确认状态时，再启动IR，用IR的读数值进行确认。
图7为本发明实施例提供的佩戴状态下检测流程示意图。从CAP Sensor数据采集的样例中可以看出，CAP Sensor的数据稳定性较IR差，使用CAP Sensor读数值进行佩戴检测判断时，需要进行一段时间的平滑才能得到可信的值。因此，在某些需要快速检测脱落动作的场景，使用CAP Sensor的读数值进行判断满足不了需求。这些场景譬如，使用手表支付时，需要快速检测脱落动作，脱落后需要用户输入密码才能进行支付，以便保证支付的安全性。基于这个考虑，在佩戴状态下的检测，又分成了两种场景，需要快速脱落检测的场景和不需要快速脱落检测的场景。
在不需要快速脱落检测的场景，依旧以CAP Sensor的检测为主进行判断。当CAP Sensor检测到一个下降沿时，可能有脱落动作发生。此时，同前述的初始状态和/或未佩戴状态的检测一样，启动CAP平均读数值的判断和IR辅助确认流程。
在需要快速脱落检测的场景，关闭CAP Sensor，仅依靠IR的读数值输出佩戴检测结果。
图8为本发明实施例提供的通过A-Sensor辅助进行佩戴检测状态的矫正方法流程示意图。用户佩戴设备进行运动的时候，根据用户运动的幅度， A-Sensor可以检测输出用户运动的X/Y/Z轴三个方向的加速度数据。当设备静止放置的时候，这三个方向输出的数据为器件的噪声数据，幅度处于较低的水平。如果设备输出的加速度数据较长时间处于设备的噪声水平，则可以确认设备处于静止放置的状态。此时，如果通过CAP Sensor和/或IR逻辑判断出来设备处于佩戴状态，通过A-Sensor的数据将该状态矫正过来，输出未佩戴状态，提高佩戴检测的准确率。
其中，加速度传感器测量值本身有一定的噪声，设备未佩戴放置在桌面静止的场景和用户佩戴设备，基本不活动的场景，在短时间内的加速度特征值相似，不能据此区分出佩戴和未佩戴状态。但是，在较长的时间内，如2小时，用户很难保持这么长时间的活动一直处于较低的水平，因此，如果通过加速度的特征值判断出加速度在很长的时间内都处于器件本身噪声相当的水平，可以认为设备未被佩戴，处于静置的状态。
本发明融合多传感器技术进行佩戴检测，提高了佩戴检测准确性，同时根据使用场景采用不同的检测方案，优化了佩戴检测功耗。该技术用在智能穿戴式设备上，提升了用户的体验。
本技术方案主要用于智能穿戴式设备进行佩戴检测的场景。这些设备包括智能手环、智能手表等可以佩戴在手腕上的设备，以及其他可以佩戴的设备，如智能项链，只要满足设备主体在佩戴时，与人体有较好的接触即可。
上面描述的佩戴检测流程中，融合了多种传感器的数据，根据应用的不同场景进行佩戴检测，传感器可以但不限于为CAP Sensor,IR,A-Sensor。例如，可以增加心率检测传感器和/或者体温检测传感器，当判断到疑似佩戴和/或未佩戴状态时，用心率传感器和/或体温检测传感器的读数进行状态确认。心率传感器和体温检测传感器工作时，功耗较高，不能处于常开的状态，否则会极大地影响设备的待机和工作时间，因此在其他低功耗的传感器不能准确识别时，再启动这些传感器进行状态确认，可以降低功耗的基础上提高检测准确率。
本发明实施例中，智能设备可以包括一个和/或多个处理器，当智能设备包括多个处理器时，佩戴检测算法可以运行在MCU上，根据硬件方案的不同，佩戴检测算法也可以运行在其他的处理器上，如手表的应用(AP)处理器上。
专业人员应该还可以进一步意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、计算机软件和/或者二者的结合来实现，为了清楚地说明硬件和软件的可互换性，在上述说明中已经按照功能一般性地描述了各示例的组成及步骤。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本发明的范围。
本领域普通技术人员可以理解实现上述实施例方法中的全部和/或部分步骤是可以通过程序来指令处理器完成，所述的程序可以存储于计算机可读存储介质中，所述存储介质是非短暂性(英文：non-transitory)介质，例如随机存取存储器，只读存储器，快闪存储器，硬盘，固态硬盘，磁带(英文：magnetic tape)，软盘(英文：floppy disk)，光盘(英文：optical disc)及其任意组合。
以上所述，仅为本发明较佳的具体实施方式，但本发明的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，可轻易想到的变化和/或替换，都应涵盖在本发明的保护范围之内。因此，本发明的保护范围应该以权利要求的保护范围为准。

Claims (25)

  1. 一种智能设备佩戴检测方法，其特征在于，所述智能设备包括第一传感器和第二传感器，所述方法包括：
    获取所述第一传感器的测量值；
    当所述第一传感器的测量值大于第一阈值时，确定所述智能设备处于佩戴状态；当所述第一传感器的测量值小于第二阈值时，确定所述智能设备处于未佩戴状态，其中，所述第一阈值大于所述第二阈值；
    当所述第一传感器的测量值大于和/或等于所述第二阈值,并且小于和/或等于所述第一阈值时，开启所述第二传感器；
    获取所述第二传感器的测量值；
    根据所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态。
  2. 如权利要求1所述的方法，其特征在于，所述第一传感器为电容传感器，所述第二传感器为红外传感器，所述根据所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态，包括：
    当所述红外传感器的测量值大于和/或等于第三阈值且小于和/或等于第四阈值时，确定所述智能设备处于佩戴状态，其中，所述第三阈值小于所述第四阈值；
    当所述红外传感器的测量值大于所述第四阈值时，和/或者，当所述红外传感器的测量值小于所述第三阈值时，确定所述智能设备处于未佩戴状态。
  3. 如权利要求1所述的方法，其特征在于，所述第一传感器为电容传感器，所述第二传感器为心率检测传感器，所述根据所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态，包括：
    当所述心率检测传感器的测量值大于和/或等于第五阈值且小于和/或等于第六阈值时，确定所述智能设备处于佩戴状态，其中，所述第五阈值小于所述第六阈值；
    当所述心率检测传感器的测量值大于所述第六阈值时，和/或者，当所述心率检测传感器的测量值小于所述第五阈值时，确定所述智能设备处于未佩戴状态。
  4. 如权利要求1所述的方法，其特征在于，所述第一传感器为电容传感器，所述第二传感器为体温检测传感器，所述根据所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态，包括：
    当所述体温检测传感器的测量值大于和/或等于第七阈值且小于和/或等于第八阈值时，确定所述智能设备处于佩戴状态，其中，所述第七阈值小于所述第八阈值；
    当所述体温检测传感器的测量值大于所述第八阈值时，和/或者，当所述体温检测传感器的测量值小于所述第七阈值时，确定所述智能设备处于未佩戴状态。
  5. 如权利要求1至4中任一项所述的方法，其特征在于，所述获取所述第一传感器的测量值之前，所述方法还包括：
    确定所述智能设备当前所处的状态，所述状态为开机初始状态、未佩戴状态和佩戴状态中的一种；
    当确定所述状态为未佩戴状态时，确定在第一预设时间长度内所述电容传感器的测量值的上升值大于第九阈值；
    当确定所述状态为佩戴状态时，确定在第二预设时间长度内所述电容传感器的测量值的下降值大于第十阈值。
  6. 如权利要求5所述的方法，其特征在于，所述方法还包括：
    当确定所述状态为佩戴状态时，根据所述智能设备上开启的应用的配置信息，确定不需要快速检测脱落动作。
  7. 如权利要求1至6中任一项所述的方法，其特征在于，所述智能设备还包括第三传感器，所述第三传感器为加速度传感器；
    所述方法还包括：
    获取在第三预设时间长度内所述加速度传感器的测量值；
    当在第三预设时间长度内所述加速度传感器的测量值均小于第十一阈值时，确定所述智能设备处于未佩戴状态。
  8. 如权利要求1至7中任一项所述的方法，其特征在于，所述根据所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态之后，所述方法还包括：
    关闭所述第二传感器。
  9. 一种智能设备，其特征在于，所述智能设备包括:
    存储器、处理器、第一传感器和第二传感器；
    所述存储器，用于存储程序指令；
    所述处理器，用于根据所述存储器存储的程序指令执行以下操作：
    获取所述第一传感器的测量值；
    当所述第一传感器的测量值大于第一阈值时，确定所述智能设备处于佩戴状态；当所述第一传感器的测量值小于第二阈值时，确定所述智能设备处于未佩戴状态，其中，所述第一阈值大于所述第二阈值；
    当所述第一传感器的测量值大于和/或等于所述第二阈值且小于和/或等于所述第一阈值时，开启所述第二传感器；
    获取所述第二传感器的测量值；
    根据所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态。
  10. 如权利要求9所述的智能设备，其特征在于，所述第一传感器为电容传感器，所述第二传感器为红外传感器；
    所述处理器执行所述根据所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态的操作，包括：
    当所述红外传感器的测量值大于和/或等于第三阈值且小于和/或等于第 四阈值时，确定所述智能设备处于佩戴状态，其中，所述第三阈值小于所述第四阈值；
    当所述红外传感器的测量值大于所述第四阈值时，和/或者，当所述红外传感器的测量值小于所述第三阈值时，确定所述智能设备处于未佩戴状态。
  11. 如权利要求9所述的智能设备，其特征在于，所述第一传感器为电容传感器，所述第二传感器为心率检测传感器；
    所述处理器执行所述根据所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态的操作，包括：
    当所述心率检测传感器的测量值大于和/或等于第五阈值且小于和/或等于第六阈值时，确定所述智能设备处于佩戴状态，其中，所述第五阈值小于所述第六阈值；
    当所述心率检测传感器的测量值大于所述第六阈值时，和/或者，当所述心率检测传感器的测量值小于所述第五阈值时，确定所述智能设备处于未佩戴状态。
  12. 如权利要求9所述的智能设备，其特征在于，所述第一传感器为电容传感器，所述第二传感器为体温检测传感器；
    所述处理器执行所述根据所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态的操作，包括：
    当所述体温检测传感器的测量值大于和/或等于第七阈值且小于和/或等于第八阈值时，确定所述智能设备处于佩戴状态，其中，所述第七阈值小于所述第八阈值；
    当所述体温检测传感器的测量值大于所述第八阈值时，和/或者，当所述体温检测传感器的测量值小于所述第七阈值时，确定所述智能设备处于未佩戴状态。
  13. 如权利要求9至12中任一项所述的智能设备，其特征在于，所述处理器在执行所述获取所述第一传感器的测量值的操作之前，还用于根据所述 存储器中存储的程序指令执行以下操作：
    确定所述智能设备当前所处的状态，所述状态为开机初始状态、未佩戴状态和佩戴状态中的一种；
    当确定所述状态为未佩戴状态时，确定在第一预设时间长度内所述电容传感器的测量值的上升值大于第九阈值；
    当确定所述状态为佩戴状态时，确定在第二预设时间长度内所述电容传感器的测量值的下降值大于第十阈值。
  14. 如权利要求13所述的智能设备，其特征在于，所述处理器还用于根据所述存储器中存储的程序指令执行以下操作：
    当确定所述状态为佩戴状态时，根据所述智能设备上开启的应用的配置信息，确定不需要快速检测脱落动作。
  15. 如权利要求9至14中任一项所述的智能设备，其特征在于，所述智能设备还包括第三传感器，所述第三传感器为加速度传感器；
    所述处理器还用于根据所述存储器中存储的程序指令执行以下操作：
    获取在第三预设时间长度内所述加速度传感器的测量值；
    当在第三预设时间长度内所述加速度传感器的测量值均小于第十一阈值时，确定所述智能设备处于未佩戴状态。
  16. 如权利要求9至15中任一项所述的智能设备，其特征在于，所述处理器在执行所述根据所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态的操作之后，还用于根据所述存储器中存储的程序指令执行以下操作：
    关闭所述第二传感器。
  17. 一种智能设备，其特征在于，所述智能设备包括第一传感器和第二传感器，所述智能设备还包括：
    获取单元，用于获取所述第一传感器的测量值；
    处理单元，用于当所述获取单元获取的所述第一传感器的测量值大于第一阈值时，确定所述智能设备处于佩戴状态；当所述第一传感器的测量值小于第二阈值时，确定所述智能设备处于未佩戴状态，其中，所述第一阈值大于所述第二阈值；当所述第一传感器的测量值大于和/或等于所述第二阈值且小于和/或等于所述第一阈值时，开启所述第二传感器；
    所述获取单元，还用于获取所述第二传感器的测量值；
    所述处理单元，还用于根据所述获取单元获取的所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态。
  18. 如权利要求17所述的智能设备，其特征在于，所述第一传感器为电容传感器，所述第二传感器为红外传感器；
    所述处理单元，具体用于当所述获取单元获取的所述红外传感器的测量值大于和/或等于第三阈值且小于和/或等于第四阈值时，确定所述智能设备处于佩戴状态，其中，所述第三阈值小于所述第四阈值；当所述获取单元获取的所述红外传感器的测量值大于所述第四阈值时，和/或者，当所述获取单元获取的所述红外传感器的测量值小于所述第三阈值时，确定所述智能设备处于未佩戴状态。
  19. 如权利要求17所述的智能设备，其特征在于，所述第一传感器为电容传感器，所述第二传感器为心率检测传感器；
    所述处理单元，具体用于当所述获取单元获取的所述心率检测传感器的测量值大于和/或等于第五阈值且小于和/或等于第六阈值时，确定所述智能设备处于佩戴状态，其中，所述第五阈值小于所述第六阈值；当所述获取单元获取的所述心率检测传感器的测量值大于所述第六阈值时，和/或者，当所述心率检测传感器的测量值小于所述第五阈值时，确定所述智能设备处于未佩戴状态。
  20. 如权利要求17所述的智能设备，其特征在于，所述第一传感器为电容传感器，所述第二传感器为体温检测传感器；
    所述处理单元，具体用于当所述获取单元获取的所述体温检测传感器的测量值大于和/或等于第七阈值且小于和/或等于第八阈值时，确定所述智能设备处于佩戴状态，其中，所述第七阈值小于所述第八阈值；当所述获取单元获取的所述体温检测传感器的测量值大于所述第八阈值时，和/或者，当所述获取单元获取的所述体温检测传感器的测量值小于所述第七阈值时，确定所述智能设备处于未佩戴状态。
  21. 如权利要求17至20中任一项所述的智能设备，其特征在于，所述处理单元还用于：在所述获取单元获取所述第一传感器的测量值之前，确定所述智能设备当前所处的状态，所述状态为开机初始状态、未佩戴状态和佩戴状态中的一种；当确定所述状态为未佩戴状态时，确定在第一预设时间长度内所述电容传感器的测量值的上升值大于第九阈值；当确定所述状态为佩戴状态时，确定在第二预设时间长度内所述电容传感器的测量值的下降值大于第十阈值。
  22. 如权利要求21所述的智能设备，其特征在于，所述处理单元还用于：当确定所述状态为佩戴状态时，根据所述智能设备上开启的应用的配置信息，确定不需要快速检测脱落动作。
  23. 如权利要求17至22中任一项所述的智能设备，其特征在于，所述智能设备还包括第三传感器，所述第三传感器为加速度传感器；
    所述获取单元，还用于获取在第三预设时间长度内所述加速度传感器的测量值；
    所述处理单元还用于：当在第三预设时间长度内所述加速度传感器的测量值均小于第十一阈值时，确定所述智能设备处于未佩戴状态。
  24. 如权利要求17至23中任一项所述的智能设备，其特征在于，所述处理单元还用于：在所述根据所述第二传感器的测量值，确定所述智能设备处于佩戴状态和/或未佩戴状态之后，关闭所述第二传感器。
  25. 一种存储程序的计算机可读存储介质，其特征在于，所述程序包括指令，所述指令当被智能设备执行时，使所述智能设备执行根据权利要求1-8任一项所述的方法。
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