WO2020132931A1 - 佩戴检测方法、装置、可穿戴设备及存储介质 - Google Patents

佩戴检测方法、装置、可穿戴设备及存储介质 Download PDF

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Publication number
WO2020132931A1
WO2020132931A1 PCT/CN2018/123844 CN2018123844W WO2020132931A1 WO 2020132931 A1 WO2020132931 A1 WO 2020132931A1 CN 2018123844 W CN2018123844 W CN 2018123844W WO 2020132931 A1 WO2020132931 A1 WO 2020132931A1
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WIPO (PCT)
Prior art keywords
detected
operation behavior
linear combination
combination data
state
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Ceased
Application number
PCT/CN2018/123844
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English (en)
French (fr)
Inventor
魏海军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Goodix Technology Co Ltd
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Shenzhen Goodix Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Goodix Technology Co Ltd filed Critical Shenzhen Goodix Technology Co Ltd
Priority to CN201880002958.0A priority Critical patent/CN109792573B/zh
Priority to PCT/CN2018/123844 priority patent/WO2020132931A1/zh
Priority to EP18944371.6A priority patent/EP3764657A4/en
Priority to KR1020207028751A priority patent/KR102348191B1/ko
Publication of WO2020132931A1 publication Critical patent/WO2020132931A1/zh
Priority to US17/036,284 priority patent/US11115748B2/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00—Details of transducers, loudspeakers or microphones
    • H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/08—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices
    • G01V3/088—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with magnetic or electric fields produced or modified by objects or geological structures or by detecting devices operating with electric fields
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V9/00—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/044—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means by capacitive means
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00—Details of transducers, loudspeakers or microphones
    • H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
    • H04R1/1041—Mechanical or electronic switches, or control elements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00—Details of transducers, loudspeakers or microphones
    • H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
    • H04R1/1016—Earpieces of the intra-aural type
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS
    • H04R2420/00—Details of connection covered by H04R, not provided for in its groups
    • H04R2420/07—Applications of wireless loudspeakers or wireless microphones
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS
    • H04R29/00—Monitoring arrangements; Testing arrangements

Definitions

  • the embodiments of the present application relate to the technical field of wearable devices, and in particular, to a wear detection method, device, wearable device, and storage medium.
  • wearable devices Due to the portability and functional diversity of wearable devices, more and more users are accustomed to using wearable devices to achieve corresponding functions. With the popularity of wearable devices, people are paying more and more attention to the endurance of wearable devices.
  • the application of the wearable device can be stopped when not wearing, and the application of the wearable device can be started when wearing.
  • the detection of its wearing state is extremely important.
  • wearable devices can realize the detection of the wearing state through a single-channel scheme, that is, a sensor is configured at only one position of the wearable device, and the wearing operation is determined according to the data detected by the sensor.
  • wearable devices that perform wear detection through a single-channel solution have low accuracy in wear detection, especially when the wearable device is exposed to water or perspiration, etc., it is easy to accidentally wear or fall off during wear detection And other misjudgment issues.
  • Embodiments of the present application provide a wear detection method, device, wearable device, and storage medium to improve the accuracy of wear detection of a wearable device.
  • Embodiments of the present application provide a method for detecting wear of a wearable device.
  • the wearable device has capacitive sensors at at least two locations.
  • the method includes:
  • linear combination data determine whether an operation behavior that changes the preset initial state of the wearable device is detected
  • An embodiment of the present application further provides a wearable device wearing detection device, the wearable device has capacitive sensors at at least two locations, and the device includes:
  • An obtaining module configured to obtain the detection data of the capacitive sensors at the at least two positions
  • the detection module is configured to obtain a linear combination data according to the detection data of the capacitive sensors at the at least two positions by using a preset linear relationship; according to the linear combination data, determine whether the change of the wearable device is detected The initial initial operating behavior;
  • the determining module is configured to determine the state of the wearable device as the target state of the operation behavior if the operation behavior is detected; if the operation behavior is not detected, determine the state of the wearable device as The preset initial state.
  • An embodiment of the present application further provides a wearable device, including: a device body, at least two locations in the device body having capacitive sensors, the device body further including: a processor and a memory, and the processor Connected to the capacitive sensor at the at least two locations; the processor is also connected to the memory;
  • the memory is used to store program instructions
  • the processor is configured to execute the wear detection method of the wearable device when calling the program instructions stored in the memory.
  • Embodiments of the present application also provide a computer-readable storage medium that stores a computer program, and when the computer program is executed by a processor, the above-described wear detection method of a wearable device is implemented.
  • Embodiments of the present application provide a wear detection method, device, wearable device, and storage medium, which can obtain detection data of capacitive sensors at at least two locations of the wearable device, and according to the capacitance at the at least two locations
  • the detection data of the built-in sensor adopts a preset linear relationship to obtain linear combination data, and then determines whether an operation behavior that changes the preset initial state of the wearable device is detected according to the linear combination data, and if the operation behavior is detected, It is determined that the state of the wearable device is the target state of the operation behavior; if the operation behavior is not detected, the state of the wearable device is determined to be the preset initial state.
  • a preset linear relationship is used according to the detection data of the capacitive sensors at the at least two positions to obtain linear combination data, and the operation behavior of changing the preset initial state of the wearable device is detected according to the linear combination data , And then determine the status of the wearable device, which can effectively prevent the exterior of the wearable device from water, sweat, etc., or the wearable device is placed on the desktop or the metal conductor, or the wearable device is held in the hand or the wearable device is placed in the pocket, etc. Misjudgment problems that occur during wear detection in some extreme applications, such as wrong wear or fall off, improve the accuracy of wearable device wear detection.
  • FIG. 1A is a schematic diagram of an appearance of an earphone provided by an embodiment of the present application.
  • FIG. 1B is a cross-sectional view of the first part of the earphone provided by the embodiment of the present application along the line A-A;
  • FIG. 1C is a schematic cross-sectional view of the second part of the earphone provided by the embodiment of the present application along the line A-A;
  • 1D is a schematic diagram of a contact position between a sensor and an ear at a position in the earphone provided by an embodiment of the present application;
  • FIG. 1E is a schematic diagram of the contact position between the sensor and the ear at another position in the earphone provided by the embodiment of the present application;
  • FIG. 2 is a flowchart 1 of a wear detection method for a wearable device according to an embodiment of the present application
  • FIG. 3 is a flowchart 2 of a wear detection method of a wearable device according to an embodiment of the present application
  • FIG. 4 is a flowchart 3 of a wear detection method for a wearable device according to an embodiment of the present application
  • FIG. 5 is a flowchart 4 of a wear detection method of a wearable device according to an embodiment of the present application.
  • FIG. 6 is a flowchart 5 of a wear detection method for a wearable device according to an embodiment of the present application.
  • FIG. 7 is a flowchart 6 of a wear detection method of a wearable device according to an embodiment of the present application.
  • FIG. 8 is a flowchart 7 of a wear detection method for a wearable device according to an embodiment of the present application.
  • FIG. 9 is a flowchart 8 of a method for detecting wear of a wearable device according to an embodiment of the present application.
  • FIG. 10 is a schematic structural diagram of a wear detection device for a wearable device according to an embodiment of the present application.
  • FIG. 11 is a schematic structural diagram of a wearable device provided by an embodiment of the present application.
  • the following embodiments of the present application provide a wear detection method, which can be applied to any wearable device such as a smart bracelet, smart watch, earphone, and hearing aid device.
  • the wearable device is a headset, it can be a wired headset or a wireless headset.
  • it is a wireless headset, it can be a headset that uses Bluetooth technology to transmit data, that is, a Bluetooth headset; it can also be a headset that uses infrared technology to transmit data.
  • the earphone is an infrared earphone; it can also be a 2.4G earphone that uses 2.4G frequency band wireless technology to transmit data.
  • the earphone is taken as an example to illustrate the structure of the wearable device.
  • FIG. 1A is a schematic diagram of an appearance of an earphone provided by an embodiment of the present application.
  • FIG. 1B is a cross-sectional view of the first part of the earphone provided by the embodiment of the present application along the line A-A.
  • FIG. 1C is a schematic cross-sectional view of the second part of the earphone provided by the embodiment of the present application along the A-A line.
  • the earphone may include the earphone body 11.
  • the earphone body 11 shown in FIGS. 1A-1C is an in-ear type. In practical applications, the earphone body 11 may also be in other forms such as a head-mounted type or an ear-mounted type.
  • the wireless headset further includes: a headset handle 12.
  • the earphone handle 12 may have a control area 121.
  • the control area 121 may have physical control buttons or a touch panel to receive input control commands to control the operation of the wireless headset 12 according to the control commands, such as adjusting the volume, starting playback, Pause playback, fast forward playback, rewind playback and other operations.
  • a touch sensor may be configured in the touch panel to receive the input control command.
  • the headphone body 11 may be a part having an audio output interface 111, and the audio output interface 111 may be a device such as a player or a speaker.
  • Sensors are provided in at least two positions within the headphone body 11.
  • the at least two positions where the sensor is provided in the earphone body 11 may include, for example, a position near the end of the earphone handle 12 in the earphone body 11 shown in FIG. 1B, and an audio output interface 111 in the earphone body 11 shown in FIG. 1C s position.
  • the at least two positions may also be other positions of the earphone body 11, and are not limited to the two positions shown in FIG. 1B and FIG. 1C.
  • FIG. 1D is a schematic diagram of a contact position between a sensor and an ear at a position in an earphone provided by an embodiment of the present application.
  • FIG. 1E is a schematic diagram of the contact position between the sensor and the ear at another position in the earphone provided by the embodiment of the present application.
  • a sensor 112 is provided at a position near the end of the earphone handle 12 in the earphone body 11 shown in FIG. 1C, and the position near the end of the earphone handle 12 may correspond to the first position 21 in the ear.
  • the earphone When the earphone is in the wearing state, that is, located in the ear, the earphone may contact the first position 21 in the ear.
  • a sensor 112 is provided at a position near the end of the audio output interface 111 in the earphone body 11 shown in FIG. 1C, and the position near the end of the audio output interface 111 may correspond to the second position 22 in the ear.
  • the earphone When the earphone is in the wearing state, that is, located in the ear, the earphone may contact the second position 22 in the ear.
  • the distance between at least two positions may be greater than or equal to the preset distance.
  • the wearing operation of the headset can be determined It is more effective to avoid misjudgment problems such as accidental touch or accidental drop when wearing detection.
  • the sensor 112 disposed at each position may be a sensor for wear detection.
  • the detection data of the sensor 112 at each position may be detection data of any physical quantity.
  • This sensor may also be referred to as a wear detection sensor or a wear sensor.
  • the sensor is a capacitive sensor, that is, its detection data is capacitive data.
  • the earphone handle 12 may further include: a processor (not shown), the processor may be connected to the sensor at each position in the earphone body 11 to obtain each position The detection data of the sensor at the location, and then determine the operation behavior of changing the state of the headset according to the detection data of the sensors at the at least two locations.
  • a processor not shown
  • the processor may be connected to the sensor at each position in the earphone body 11 to obtain each position The detection data of the sensor at the location, and then determine the operation behavior of changing the state of the headset according to the detection data of the sensors at the at least two locations.
  • the operation behavior of changing the state of the earphone can be more accurately detected according to the detection data of the sensors at the at least two locations.
  • the earphone is only one possible example of a wearable device. If it is another wearable device, at least two positions of the wearable device may have sensors, and the at least two positions may be the wearable device. At least two locations on the wearing contact surface of the device.
  • the appearance of the earphone shown in FIG. 1A is only one possible example. In actual applications, the earphone may have other appearances, which is not limited by the present invention; the earphone body 11 of the earphone shown in FIG. 1B and FIG. 1C
  • the position of the sensor 112 is only some examples of possible positions. In practical applications, the sensor can also be arranged at other positions in the earphone body 11, which is not limited in this application; the above-mentioned FIGS. 1D and 1E are only inside the earphone body 11.
  • a schematic diagram of the contact position between the sensor 112 and the inside of the ear. The contact position may also be other examples, which is not limited by the present invention.
  • FIG. 2 is a flowchart 1 of a wear detection method of a wearable device according to an embodiment of the present application.
  • the wearable device may be, for example, the earphone shown in FIGS. 1A-1C described above. Since the earplugs of the earphones are usually used in pairs, the wearing detection method can be implemented by a preset earplug in the earphone through software and/or hardware, or by any earplug in the earphone through software and/or hardware. It can also be implemented by software and/or hardware through both earplugs in the earphone.
  • the one earplug may be the master earplug in the earphone, and of course, may also be the slave earplug, which is not limited in the embodiments of the present application.
  • the main earplug in the earphone may be a left earplug, that is, an earplug worn on the left ear; it may also be a right earplug, that is, an earplug worn on the right ear.
  • the wearing control method of the wearable device may include the following:
  • the processor of the wearable device can acquire the detection data of the capacitive sensor at each location.
  • the detection data of the capacitive sensor at each position may be data obtained by sampling the detection signal of the capacitive sensor at each position.
  • the capacitive sensor at each location can transmit the detection signal to an analog front-end (AFE) circuit connected to the capacitive sensor at each location in the wearable device, and by The AFE circuit connected to the capacitive sensor at each position transmits the detection signal to an analog-to-digital converter (ADC for short), and the ADC detects the capacitive sensor at each position The converted digital signal is the detection data.
  • the processor can obtain the detection data of the capacitive sensor at each position from the ADC.
  • the detection data of the capacitive sensor at each position can be obtained.
  • the linear combination data can be determined by executing S202, and then executed S203 determines whether an operation behavior that changes the preset initial state of the wearable device is detected according to the linear combination data.
  • the state of the wearable device can also be determined as the target state of the operation behavior according to the operation behavior, that is, the state of the wearable device is switched from the preset initial state to the operation The target state of the behavior.
  • the state of the wearable device may be determined as the preset initial state, that is, the state of the wearable device is maintained as the preset initial state without state switching.
  • the preset initial state is a non-wearing state and the target state is a wearing state
  • operations in the wearing state can also be performed, such as starting to play audio data, receiving audio data, sending audio data, or starting detection Biometric signals, etc.
  • the preset initial state is a wearing state
  • the target state is a non-wearing state
  • operations in the non-wearing state can also be performed, such as stopping playing audio data, stopping receiving audio data, and stopping sending audio data, Or, stop detecting biometric signals and so on.
  • the operation of the wearing state can be performed to accurately control the wearable device.
  • the wear detection method of the wearable device may be referred to as wear detection based on a multi-channel solution. For example, if the number of positions where the capacitive sensor is provided in the wearable device is 2, the wear detection of the multi-channel scheme can be referred to as the wear detection method of the dual-channel scheme.
  • the operation behavior of the wearable device will cause the capacitive sensors at at least two locations on the wearable device to contact or separate from the human body, so that the detection data of the capacitive sensors at at least two locations will change, so The detection data of the capacitive sensors at the two positions determines whether an operation behavior that changes the preset initial state of the wearable device is detected, and then determines the state of the wearable device according to the detection result of the operation behavior.
  • the false touch will only cause the capacitive sensors in some of the at least two positions to be touched, but will not make the sensors in all positions touch, and the false drop will only make the sensors in some of the at least two positions separate. It does not separate the sensors in all positions.
  • the detection result determines the state of the wearable device, which can avoid misjudgment problems such as miswearing or erroneous dropping during wear detection of the wearable device, and improve the accuracy of wearable device wearing detection.
  • the wearable device is exposed to water, sweat, etc., or the wearable device is placed on a desktop or a metal conductor, or the wearable device is held in the hand, or the wearable device is placed in a pocket, etc. in some extreme applications, only The detection data of the capacitive sensors in some positions are changed, but the detection data of the capacitive sensors in all positions are not changed.
  • the linear combination data obtained based on the detection data of the capacitive sensors at the at least two positions can effectively reflect the correlation between the detection data of the capacitive sensors at each of the at least two positions.
  • the detection data of the capacitive sensor at at least two positions adopts a preset linear relationship to obtain linear combination data, and according to the linear combination data, determines whether an operation behavior that changes the preset initial state of the wearable device is detected. It can effectively avoid the misjudgment problems in wear detection such as wrong wearing and wrong falling of wearable devices under extreme application conditions.
  • the sensor at each position is a capacitive sensor, then the detection data may be a capacitance value, then based on the detection of the capacitance value of the capacitive sensor at at least two positions, it is determined whether the detection detects that the preset initial state of the wearable device is changed Operation behavior, and then determine the status of the wearable device according to the detection result of the operation behavior, which can save economic costs and realize rapid iterative mass production of capacitive sensors in the wearable device.
  • the wear detection method of the wearable device may obtain the detection data of the capacitive sensor at at least two locations of the wearable device and based on the detection data of the capacitive sensor at the at least two locations, A preset linear relationship is used to obtain linear combination data, and then based on the linear combination data, it is determined whether an operation behavior that changes the preset initial state of the wearable device is detected, and if the operation behavior is detected, the wearable device is determined The state of is the target state of the operation behavior. If the operation behavior is not detected, the state of the wearable device is determined to be the preset initial state.
  • a preset linear relationship is used to obtain linear combination data, and whether the preset initial state of the wearable device is detected to be changed is determined according to the linear combination data Operation behavior, and determine the state of the wearable device according to the detection result of the operation behavior, which can effectively prevent the exterior of the wearable device from water, sweat, etc., or the wearable device is placed on the desktop or the metal conductor, or, Wearable devices, or wearable devices placed in pockets and other extreme application situations, such as wrong wearing or wrong falling off during misdetection problems during wear detection, improve the accuracy of wearable device wearing detection.
  • FIG. 3 is a flowchart 2 of a wear detection method of a wearable device according to an embodiment of the present application. As shown in FIG. 3, determining whether the operation behavior of changing the preset initial state of the wearable device according to the linear combination data in S203 may include:
  • the first state condition may be a condition to enter the wearing state from the non-wearing state.
  • the linear combination data of the single sampling can be obtained, and S301 is executed to determine the linear combination of the single sampling Whether the data meets the first state condition, if the single-sample linear combination data reaches the first state condition, the operation behavior can be detected.
  • the linear combination data of the multiple samplings may be obtained, and S302 is separately executed to determine the multiple samplings. Whether the linear combination data all meet the first state condition, and if the multi-sampled linear combination data all meet the first state condition, it can be determined that the operation behavior is detected.
  • the preset initial state is a non-wearing state, that is, an off-ear state
  • the target state of the operation behavior is a wearing state, that is, an in-ear state, that is, the operation behavior is an in-ear operation
  • the first state is a condition from the state outside the ear to the state inside the ear.
  • the wear detection method of the wearable device provided by the embodiment of the present application can determine the detection when the linear combination data obtained from the detection data of the capacitive sensors at the at least two positions reaches the first state condition To the operation behavior, if the linear combination data does not reach the first state condition, it can be determined that the operation behavior is not detected, and then the state of the wearable device is determined according to the detection result of the operation behavior, effectively avoiding the exterior of the wearable device Water, sweat, or wearable devices placed on the desktop or metal conductors, or holding the wearable device in your hand, or putting the wearable device in your pocket, etc. in some extreme applications, such as accidental wear or accidental fall off during wear detection The problem of misjudgment occurs when the accuracy of wearable device wear detection is improved.
  • determining whether the linear combination data reaches the first state condition in S301 may include:
  • the variation of the linear combination data may be the difference between the linear combination data and the initial combination data.
  • the initial combined data may be a preset value, or may be linear combined data obtained from initial data or reference data of the capacitive sensor at at least two positions.
  • the first threshold may be the difference between the preset combination data entering the wearing state and the initial combination data. Taking an in-ear earphone as an example, the preset combination data into the wearing state is the preset in-ear combination data.
  • the detection data of the capacitive sensor at each position will gradually increase, relative to the initial combined data, based on the capacitive sensor at the at least two positions.
  • the amount of change in the linear combination data obtained from the detection data will also gradually increase. Therefore, in this method, whether the change amount of the linear combination data is greater than or equal to a preset first threshold can be determined, thereby determining whether the wear operation of the wearable device is an operation to enter the wear state.
  • the change amount of the linear combination data is greater than or equal to the first threshold, it can be determined that the linear combination data satisfies the wearing state condition, so that the operation behavior can be determined to be detected.
  • determining that the operation behavior is not detected may include:
  • the change amount of the linear combination data is less than the first threshold, it can be determined that the linear combination data does not satisfy the wearing state condition, and thus it can be determined that the operation behavior is not detected.
  • the method provided in the embodiment of the present application may determine that the operation behavior is detected when the variation of the linear combination data obtained based on the detection data of the capacitive sensors at the at least two positions is greater than or equal to the first threshold , And when the amount of change of the linear combination data is less than the first threshold, it is determined that the operation behavior is not detected, and then the state of the wearable device can be determined according to the detection result of the operation behavior, which can avoid the external appearance of the wearable device Water, sweat, or wearable devices placed on the desktop or metal conductors, or holding the wearable device in your hand, or putting the wearable device in your pocket, etc. in some extreme applications, such as accidental wear or accidental fall off during wear detection The problem of misjudgment appears at the time to improve the detection accuracy.
  • FIG. 5 is a flowchart 4 of a wear detection method of a wearable device according to an embodiment of the present application.
  • the method may be the method shown in FIG. 3, where the initial state of the wearable device is the non-wearing state, and the target state of the operation behavior is another possible example of the wearing state.
  • determining whether the linear combination data reaches the first state condition in S301 may include:
  • the detection data of the capacitive sensor at each position will gradually increase from the preset reference data, based on the capacitive sensor at the at least two positions.
  • the linear combination data obtained from the detection data is also gradually increasing. Therefore, whether the operation behavior is detected can be determined by detecting the rising edge of the curve of the linear combination data.
  • the linear combination data If the rising edge of the curve of the linear combination data is detected, it can be determined that the linear combination data satisfies the wearing state condition, so that the operation behavior can be determined to be detected.
  • determining that the operation behavior is not detected may include:
  • the method provided in the embodiment of the present application can determine that the operation behavior is detected when the rising edge of the curve of the linear combination data obtained based on the detection data of the capacitive sensors at the at least two positions is detected.
  • the rising edge of the curve of the linear combination data it can be determined that the operation behavior is not detected, and then the wearing state of the wearable device is determined to effectively prevent water, sweat, etc. on the outside of the wearable device, or, wearable
  • the device is placed on a desktop or a metal conductor, or the wearable device is held in the hand, or the wearable device is placed in a pocket. In some extreme applications, such as mis-wearing or accidentally falling off, the misjudgment problem that occurs during wearing detection improves detection Accuracy.
  • FIG. 6 is a flowchart 5 of a wear detection method for a wearable device according to an embodiment of the present application.
  • the method may be the above-mentioned wearing detection method shown in FIG. 2, where the preset initial state is the wearing state, and if the target state of the operation behavior is the non-wearing state, it is determined whether the preset initial state of the wearable device is detected to be changed Examples of operational behavior.
  • determining whether the operation behavior of changing the preset initial state of the wearable device according to the linear combination data in S203 may include:
  • the second state condition may be a condition to go from the wearing state to the non-wearing state.
  • the linear combination data of the single sampling can be obtained, and S601 is executed to determine the linear combination of the single sampling Whether the data meets the second state condition, if the single-sample linear combination data reaches the second state condition, the operation behavior can be detected.
  • linear combination data of the multiple samplings may be obtained, and S602 is separately executed to determine the multiple samplings. Whether the linear combination data all meet the second state condition, and if the multiple-sampled linear combination data all meet the second state condition, it can be determined that the operation behavior is detected.
  • the second state condition is to enter the ear from the in-ear state Conditions outside the state.
  • the wear detection method of the wearable device provided by the embodiment of the present application can determine the detection when the linear combination data obtained from the detection data of the capacitive sensors at the at least two positions reaches the second state condition To the operation behavior, if the linear combination data does not reach the first state condition, it can be determined that the operation behavior is not detected, and then the state of the wearable device is determined according to the detection result of the operation behavior, effectively avoiding the exterior of the wearable device Water, sweat, or wearable devices placed on the desktop or metal conductors, or holding the wearable device in your hand, or putting the wearable device in your pocket, etc. in some extreme applications, such as accidental wear or accidental fall off during wear detection The problem of misjudgment occurs when the accuracy of wearable device wear detection is improved.
  • determining whether the linear combination data reaches the second state condition in S701 may include:
  • the variation of the linear combination data may be the difference between the linear combination data and the initial combination data.
  • the initial combined data may be a preset value, or may be linear combined data obtained from initial data or reference data of the capacitive sensor at at least two positions.
  • the second threshold may be the difference between the preset combination data entering the non-wearing state and the initial combination data. Taking an in-ear earphone as an example, the preset combination data entering the non-wearing state is the preset combination data for the ear.
  • the detection data of the capacitive sensor at each position will gradually decrease, relative to the initial combined data, based on the capacitive sensor at the at least two positions.
  • the amount of change in the linear combination data obtained from the detection data will also gradually decrease. Therefore, in this method, it can be determined whether the operation behavior is detected by determining whether the change amount of the linear combination data is less than or equal to a preset second threshold.
  • determining that the operation behavior is detected may include:
  • the change amount of the linear combination data is less than or equal to the second threshold, it can be determined that the linear combination data satisfies the non-wearing state condition, so that it can be determined that the operation behavior for the wearable device is detected, and the operation behavior is entering non-wearing The operational behavior of the state.
  • determining that the operation behavior is not detected includes:
  • the change amount of the linear combination data is greater than the second threshold, that is, the non-wearing state condition is not satisfied, it can be determined that the operation behavior of entering the non-wearing state is not detected.
  • the method provided in the embodiment of the present application may determine that the operation behavior is detected when the variation of the linear combination data obtained based on the detection data of the capacitive sensors at the at least two positions is less than or equal to the second threshold , And in the case where the change amount of the linear combination data is greater than the second threshold, it is determined that the operation behavior is not detected, and then the state of the wearable device is determined according to the detection result of the operation behavior, effectively avoiding the external contamination of the wearable device Water, sweat, etc., or the wearable device is placed on the desktop or the metal conductor, or the wearable device is held in the hand, or the wearable device is placed in the pocket The problem of misjudgment appears at the time to improve the detection accuracy.
  • determining whether the linear combination data meets the second state condition in S601 may include:
  • the detection data of the capacitive sensor at each position gradually decreases, and the linearity obtained based on the detection data of the capacitive sensors at the at least two positions
  • the combined data is also gradually decreasing. Therefore, it is possible to determine whether the operation behavior is detected by detecting the falling edge of the curve of the linear combined data.
  • determining that the operation behavior is detected may include:
  • the linear combination data satisfies the condition of the non-wearing state, so that it can be determined that the operation behavior is the operation behavior of entering the non-wearing state.
  • determining that the operation behavior is not detected may include:
  • the method provided in the embodiment of the present application can determine that the operation behavior is detected when the falling edge of the curve of the linear combination data obtained based on the detection data of the capacitive sensors at the at least two positions is detected.
  • the state of the wearable device is determined according to the detection result of the operation behavior, which effectively prevents water and sweat on the outside of the wearable device.
  • the wearable device is placed on the desktop or the metal conductor, or the wearable device is held in the hand, or the wearable device is placed in the pocket. In some extreme applications, such as wrong wearing or wrong falling, such as misjudgment during wear detection Problems and improve detection accuracy.
  • Embodiments of the present application may also provide a method for detecting wear of a wearable device, and any of the above methods may be described by specific examples.
  • the sensors at two positions in the earphone body 11 of the wireless earphone may be capacitive sensors as an example.
  • the sensors at these two locations can be represented as a first sensor (sensor1) and a second sensor (sensor2), respectively.
  • FIG. 9 is a flowchart 8 of a wear detection method of a wearable device according to an embodiment of the present application. As shown in FIG. 9, the wear detection method of the wearable device may include:
  • the first initial capacitance value of the first sensor may be expressed as C10, which may be referred to as the reference capacitance of the first sensor; the first initial capacitance value of the second sensor may be expressed as C20, which may be referred to as the reference capacitance of the second sensor;
  • the first initial combined capacitance value can be expressed as C30, which can be referred to as a combined reference capacitance.
  • the first sampling capacitance value of the first sensor obtained by the nth sampling can be expressed as C1n0; the first sampling capacitance value of the second sensor obtained by the nth sampling can be expressed as C2n0; the first sampling capacitance based on the nth sampling
  • the first linear combined capacitance value obtained by the first sampling capacitor of the sensor and the first sampling capacitor of the n-th sampled second sensor may be expressed as C3n0.
  • the C3n0 can be obtained by using a preset linear relationship according to C1n0 and C2n0.
  • the initial state of the wireless earphone is an out-of-ear state, determine whether an in-ear operation behavior of the wireless earphone is detected according to the first linear combined capacitance value.
  • the variation of the first capacitance value of the first sensor can be obtained according to the first sampling capacitance value and the first initial capacitance value of the first sensor; according to the first sampling capacitance value and the first initial capacitance of the second sensor Value to obtain the first capacitance value change amount of the second sensor; the first combined capacitance value change amount can be obtained according to the first linear combined capacitance value and the first initial combined capacitance value.
  • the change amount DetaC3n0 of the first linear combination capacitance value may be compared with a preset in-ear combination threshold OnTh3. If DetaC3n0>OnTh3, it can be determined that the in-ear operation behavior of the wireless headset is detected.
  • the rising edge of the curve of the first linear combined capacitance value may be detected. If the rising edge of the curve is detected, it can be determined that the in-ear operation behavior of the wireless headset is detected.
  • the state of the wireless headset is determined to be an in-ear state.
  • the state of the wireless headset is maintained as the preset initial state, that is, the state outside the ear.
  • the second initial capacitance value of the first sensor may be expressed as C11, which may be referred to as the reference capacitance of the first sensor; the second initial capacitance value of the second sensor may be expressed as C21, which may be referred to as the reference capacitance of the second sensor;
  • the second initial combined capacitance value can be expressed as C31, which can be referred to as a combined reference capacitance.
  • the second sampling capacitance value of the first sensor obtained by the nth sampling can be expressed as C1n1; the second sampling capacitance value of the second sensor obtained by the nth sampling can be expressed as C2n1; the first sampling based on the nth sampling
  • the second linear combined capacitance value obtained by the second sampling capacitor of the sensor and the second sampling capacitor of the second sensor of the nth sampling can be expressed as C3n1.
  • the C3n1 can be obtained by using a preset linear relationship according to C1n1 and C2n1.
  • the change amount of the second capacitance value of the first sensor can be obtained according to the second sampling capacitance value and the second initial capacitance value of the first sensor; according to the second sampling capacitance value and the second initial capacitance of the second sensor Value to obtain the amount of change in the second capacitance value of the second sensor; the amount of change in the second combined capacitance value can be obtained according to the second linear combined capacitance value and the second initial combined capacitance value.
  • the second combined capacitance value change amount DetaC3n1 may be compared with a preset out-of-ear combination threshold OffTh3. If DetaC3n1 ⁇ OffTh3, it can be determined that the out-of-ear operation behavior of the wireless headset is detected.
  • the falling edge of the curve of the second linear combined capacitance value may be detected. If the falling edge of the curve is detected, the out-of-ear operation behavior of the wireless headset can be detected.
  • the state of the wireless earphone is maintained as the in-ear state.
  • the wear detection method of the wearable device can determine whether the operation behavior of the wireless headset is detected according to the linear combined capacitance value obtained from the capacitance values of the capacitive sensors at two positions, and according to the detection of the operation behavior As a result, the status of the wearable device is determined, and water, sweat, etc. on the outside of the wireless headset can also be avoided, or the wearable device is placed on the desktop or metal conductor, or the wearable device is held in the hand, or the wearable device is placed in the pocket
  • the misjudgment problems that occur during wear detection such as wrong wearing or falling off in some extreme application situations, improve the detection accuracy.
  • the wear state of the wearable device is also determined to accurately control the wearable device.
  • the following describes an apparatus, a wearable device, a storage medium, and the like that perform the above-described wear detection method.
  • FIG. 10 is a schematic structural diagram of a wear detection device for a wearable device according to an embodiment of the present application.
  • the wearable device has capacitive sensors at at least two locations.
  • the wear detection device 1000 of the wearable device may include:
  • Acquisition module 1001 for acquiring the detection data of the capacitive sensor at the at least two positions.
  • the detection module 1002 is configured to obtain a linear combination data according to the detection data of the capacitive sensors at the at least two positions by using a preset linear relationship; according to the linear combination data, determine whether a change of the wearable device's pre-detection is detected Set the initial state of operation behavior;
  • the determining module 1003 is configured to determine the state of the wearable device as the target state of the operation behavior if the operation behavior is detected; if the operation behavior is not detected, determine the state of the wearable device as the preset initial status.
  • the preset initial state is a non-wearing state
  • the target state of the operation behavior is a wearing state.
  • the detection module 1002 is specifically configured to determine whether the linear combination data reaches the first state condition; if the linear combination data reaches the first state condition, it is determined that the operation behavior is detected; if the linear combination data does not reach the first state
  • the status condition determines that the operation behavior is not detected.
  • the detection module 1002 is specifically configured to determine whether the amount of change of the linear combination data is greater than or equal to a preset first threshold; if the amount of change of the linear combination data is greater than or equal to the first threshold, it is determined to be detected The operation behavior; if the change amount of the linear combination data is less than the first threshold, it is determined that the operation behavior is not detected.
  • the detection module 1002 is specifically configured to detect the rising edge of the curve of the linear combination data; if the rising edge of the curve is detected, it is determined that the operation behavior is detected; if the rising edge of the curve is not detected, it is determined that it is not detected To the operation behavior.
  • the preset initial state is a wearing state
  • the target state of the operation behavior is a non-wearing state.
  • the detection module 1002 is specifically configured to determine whether the linear combination data reaches the preset second state condition; if the linear combination data reaches the second state condition, it is determined that the operation behavior is detected; if the linear combination data does not reach the In the second state condition, it is determined that the operation behavior is not detected.
  • the detection module 1002 is specifically configured to determine whether the amount of change of the linear combination data is less than or equal to a preset second threshold; if the amount of change of the linear combination data is less than or equal to the second threshold, it is determined to be detected The operation behavior; if the change amount of the linear combination data is greater than the second threshold, it is determined that the operation behavior is not detected.
  • the detection module 1002 is specifically configured to detect the falling edge of the curve of the linear combination data; if the falling edge of the curve is detected, it is determined that the operation behavior is detected; if the falling edge of the curve is not detected, it is determined that it is not detected To the operation behavior.
  • the device for detecting wearability of a wearable device provided in an embodiment of the present application may perform the method for wearing detection of a wearable device as shown in any one of the above FIGS. 2-9. Repeat.
  • FIG. 11 is a schematic structural diagram of a wearable device provided by an embodiment of the present application.
  • the wearable device 1100 of this embodiment includes: a device body 1101, at least two locations within the device body 1101 having a capacitive sensor 1102, and the device body 1101 further includes: a processor 1103 and a memory 1104, The processor 1103 is connected to the sensors 1102 at at least two locations; the processor 1103 is also connected to the memory 1104.
  • the memory 1104 is used to store program instructions.
  • the processor 1103 is configured to execute the wear detection method of the wearable device described in any of FIG. 2 to FIG. 9 when calling the program instruction stored in the memory 1104.
  • the at least two positions there is a distance between two adjacent positions that is greater than or equal to a preset distance.
  • the wearable device 1100 is a headset or a hearing aid device.
  • An embodiment of the present application further provides a computer-readable storage medium on which a computer program is stored, which can be executed by the processor 1103 described in FIG. 11 to implement any of the above embodiments in any of FIGS. 2 to 9
  • a computer program is stored, which can be executed by the processor 1103 described in FIG. 11 to implement any of the above embodiments in any of FIGS. 2 to 9
  • the processor 1103 described in FIG. 11 can be executed by the processor 1103 described in FIG. 11 to implement any of the above embodiments in any of FIGS. 2 to 9

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Abstract

本申请提供一种佩戴检测方法、装置、可穿戴设备及存储介质。该可穿戴设备的至少两个位置处具有传感器，该方法包括：获取该至少两个位置处的电容式传感器的检测数据；根据该至少两个位置处的电容式传感器的检测数据，采用预设的线性关系得到线性组合数据；根据线性组合数据检测佩戴状态。本申请可提高佩戴检测的准确度。

Description

佩戴检测方法、装置、可穿戴设备及存储介质 技术领域
本申请实施例涉及可穿戴设备技术领域，尤其涉及一种佩戴检测方法、装置、可穿戴设备及存储介质。
背景技术
由于可穿戴设备的便携性及功能多样性等，越来越多的用户习惯使用可穿戴设备实现对应的功能。随着可穿戴设备的普及，人们越来越注重可穿戴设备的续航能力。
为保证可穿戴设备的有效续航，尽可能久地提供服务，可在非佩戴时，停止运行该可穿戴设备的应用，而在佩戴时，开启该可穿戴设备的应用。为保证可穿戴设备的准确控制，其佩戴状态的检测显得格外重要。目前，可穿戴设备可通过单通道方案实现佩戴状态的检测，即仅在可穿戴设备的一个位置处配置传感器，并根据该传感器检测到的数据，确定佩戴操作。
然而，通过单通道方案进行佩戴检测的可穿戴设备，其佩戴检测的准确度不高，特别是在可穿戴设备外部沾水、汗渍等情况下，很容易在佩戴检测时出现误佩戴、误脱落等误判问题。
发明内容
本申请实施例提供一种佩戴检测方法、装置、可穿戴设备及存储介质，以提高可穿戴设备的佩戴检测准确度。
本申请实施例提供一种可穿戴设备的佩戴检测方法，所述可穿戴设备的至少两个位置处具有电容式传感器，所述方法包括：
获取所述至少两个位置处的电容式传感器的检测数据；
根据所述至少两个位置处的电容式传感器的检测数据，采用预设的线性关系，得到线性组合数据；
根据所述线性组合数据，判断是否检测到改变所述可穿戴设备的预设初 始状态的操作行为；
若检测到所述操作行为，则确定所述可穿戴设备的状态为所述操作行为的目标状态；
若未检测到所述操作行为，则确定所述可穿戴设备的状态为所述预设初始状态。
本申请实施例还提供一种可穿戴设备的佩戴检测装置，所述可穿戴设备的至少两个位置处具有电容式传感器，所述装置包括：
获取模块，用于获取所述至少两个位置处的电容式传感器的检测数据；
检测模块，用于根据所述至少两个位置处的电容式传感器的检测数据，采用预设的线性关系，得到线性组合数据；根据所述线性组合数据，判断是否检测到改变所述可穿戴设备的预设初始状态的操作行为；
确定模块，用于若检测到所述操作行为，则确定所述可穿戴设备的状态为所述操作行为的目标状态；若未检测到所述操作行为，则确定所述可穿戴设备的状态为所述预设初始状态。
本申请实施例还提供一种可穿戴设备，包括：设备本体，所述设备本体内的至少两个位置处具有电容式传感器，所述设备本体内还包括：处理器和存储器，所述处理器与所述至少两个位置处的电容式传感器连接；所述处理器还与所述存储器连接；
所述存储器，用于存储程序指令；
所述处理器，用于调用所述存储器存储的所述程序指令时执行上述可穿戴设备的佩戴检测方法。
本申请实施例还提供一种计算机可读存储介质，所述存储介质存储有计算机程序，所述计算机程序被处理器执行时实现上述可穿戴设备的佩戴检测方法。
本申请实施例提供一种佩戴检测方法、装置、可穿戴设备及存储介质，可通过获取可穿戴设备的至少两个位置处的电容式传感器的检测数据，并根据该至少两个位置处的电容式传感器的检测数据，采用预设的线性关系，得到线性组合数据，继而根据该线性组合数据，判断是否检测到改变该可穿戴设备的预设初始状态的操作行为，若检测到该操作行为，则确定该可穿戴设备的状态为该操作行为的目标状态；若未检测到该操作行为，则确定该可穿 戴设备的状态为该预设初始状态。该方法中，根据该至少两个位置处的电容式传感器的检测数据，采用预设的线性关系，得到线性组合数据，根据该线性组合数据检测改变该可穿戴设备的预设初始状态的操作行为，继而确定可穿戴设备的状态，可有效避免可穿戴设备外部沾水、汗渍等，或者，可穿戴设备放置于桌面或金属导体上，或者手握可穿戴设备或者可穿戴设备放置于口袋内等一些极端应用情况下的误佩戴或误脱落等在佩戴检测时出现的误判问题，提高了可穿戴设备佩戴检测的准确度。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1A为本申请实施例提供的一种耳机的外观示意图；
图1B为本申请实施例提供的耳机中沿A-A剖线的第一部分的剖视图；
图1C为本申请实施例提供的耳机中沿A-A剖线的第二部分的剖示意图；
图1D为本申请实施例提供的耳机中一个位置处的传感器与耳朵接触位置的示意图；
图1E为本申请实施例提供的耳机中另一个位置处的传感器与耳朵接触位置的示意图；
图2为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图一；
图3为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图二；
图4为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图三；
图5为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图四；
图6为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图五；
图7为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图六；
图8为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图七；
图9为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图八；
图10为本申请实施例提供的一种可穿戴设备的佩戴检测装置的结构示意图；
图11为本申请实施例提供的可穿戴设备的结构示意图。
具体实施方式
为使本申请实施例的目的、技术方案和优点更加清楚，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
除非另有定义，本文所使用的所有的技术和科学术语与属于本申请的技术领域的技术人员通常理解的含义相同。本文中在本申请的说明书中所使用的术语只是为了描述具体的实施例的目的，不是旨在于限制本申请。本文所使用的术语“和/或”包括一个或多个相关的所列项目的任意的和所有的组合。下面结合附图，对本申请的一些实施方式作详细说明。在不冲突的情况下，下述的实施例及实施例中的特征可以相互组合。
本申请下述各实施例提供佩戴检测方法，可应用于智能手环、智能手表、耳机、助听设备等任一可穿戴设备中。若该可穿戴设备为耳机，其可以为有线耳机，也可以为无线耳机，若为无线耳机，其可以为采用蓝牙技术传输数据的耳机，即为蓝牙耳机；还可以为采用红外技术传输数据的耳机，即为红外耳机；也可以为采用2.4G频段的无线技术传输数据的耳机即为2.4G耳机。
在介绍可穿戴设备的佩戴检测方法之前，先以耳机为例，对可穿戴设备的结构进行示例说明。
图1A为本申请实施例提供的一种耳机的外观示意图。图1B为本申请实施例提供的耳机中沿A-A剖线的第一部分的剖视图。图1C为本申请实施例提供的耳机中沿A-A剖线的第二部分的剖示意图。如图1A所示，耳机可包括耳机本体11。图1A-图1C所示的耳机本体11位入耳式，在实际应用中，耳机本体11还可以为头戴式或挂耳式等其他形式。可选的，无线耳机还包括：耳机柄12。该耳机柄12可具有控制区域121。该耳机柄12上，该控制区域121内可具有物理控制按键，或者，触控面板，以接收输入的控制指令，用以根据该控制指令控制无线耳机12的操作，如调节音量、开始播放、暂停播放、快进播 放、后退播放等任一操作。如该控制区域121内具有触控面板，触控面板内可配置有触控传感器，以接收输入的控制指令。
如图1A所示，该耳机本体11可以为具有音频输出接口111的部分，该音频输出接口111可以为播放器或喇叭等器件。耳机本体11内的至少两个位置处设置有传感器。耳机本体11内的设置传感器的至少两个位置例如可包括：图1B所示的耳机本体11内靠近耳机柄12的一端的位置，以及，图1C所示的耳机本体11内靠近音频输出接口111的位置。当然，该至少两个位置也可以为耳机本体11的其它位置，也不限于图1B和图1C所示的两个位置。其中，耳机本体11的每个位置处可具有至少一个传感器112。
图1D为本申请实施例提供的耳机中一个位置处的传感器与耳朵接触位置的示意图。图1E为本申请实施例提供的耳机中另一个位置处的传感器与耳朵接触位置的示意图。例如，图1C所示的耳机本体11内靠近耳机柄12的一端的位置设置有传感器112，该靠近耳机柄12的一端的位置可与耳朵内的第一位置21相对应。在耳机为佩戴状态即位于耳内时，耳机可与耳朵内的第一位置21接触。图1C所示的耳机本体11内靠近音频输出接口111的一端的位置设置有传感器112，该靠近音频输出接口111的一端的位置可与耳朵内的第二位置22相对应。在耳机为佩戴状态即位于耳内时，耳机可与耳朵内的第二位置22接触。
可选的，该至少两个位置中，至少存在两个位置间的距离可大于或等于预设距离。
由于误触或误脱落的位置范围通常有限，因而若存在至少两个位置间的距离大于或等于预设距离，那么根据该至少两个位置传感器的检测数据，确定耳机的佩戴操作，便可在佩戴检测时更有效地避免误触或误脱落等误判问题。
每个位置处所配置的传感器112可以为用以进行佩戴检测的传感器。该每个位置处的传感器112的检测数据可以为任一物理量的检测数据。该传感器还可称为佩戴检测传感器或者佩戴传感器。该传感器为电容式传感器，即其检测数据为电容数据。
在耳机的耳机本体11中，或者，耳机柄12中还可包括：处理器(未示出)，该处理器可与上述耳机本体11内的每个位置处的传感器连接，以获取每个位 置处的传感器的检测数据，继而根据该至少两个位置处的传感器的检测数据确定改变耳机状态的操作行为。
本申请实施例提供的耳机中，由于耳机本体11内的至少两个位置处均具有传感器，根据至少两个位置处的传感器的检测数据，可更准确地检测改变耳机状态的操作行为。
需要说明的是，耳机仅为可穿戴设备的一种可能的示例，若为其它可穿戴设备，则该可穿戴设备的至少两个位置处可具有传感器，该至少两个位置可以为该可穿戴设备的佩戴接触面上的至少两个位置。
上述图1A所示的耳机的外观仅为一种可能的示例，在实际应用中，耳机还可以为其它外观，本发明不对此限制；上述图1B和图1C所示的耳机的耳机本体11内的传感器112的位置仅为一些可能的位置示例，在实际应用中，传感器还可以布置在耳机本体11内的其它位置处，本申请不对此限制；上述图1D和图1E仅为耳机本体11内传感器112与耳朵内接触位置的示意图，其接触位置还可以为其它的示例，本发明不对此限制。
如下结合多个实例对本申请实施例提供的可穿戴设备的佩戴检测方法进行具体说明。
图2为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图一。该可穿戴设备例如可以为上述图1A-图1C所示的耳机。由于耳机的耳塞通常是成对出现使用，该佩戴检测方法可由耳机中预设的一只耳塞通过软件和/或硬件的方式实现，也可以由耳机中任一只耳塞通过软件和/或硬件的方式实现，还可由耳机中的两只耳塞均通过软件和/或硬件的方式实现。若由一只耳塞实现，则该一只耳塞可以为耳机中的主耳塞，当然，也可以为从耳塞，本申请实施例不对此限制。耳机中的主耳塞可以为左耳塞，即用于佩戴在左耳的耳塞；其也可以为右耳塞，即用于佩戴在右耳的耳塞。如图2所示，该可穿戴设备的佩戴控制方法可包括如下：
S201、获取该至少两个位置处的电容式传感器的检测数据。
该方法中，可由可穿戴设备的处理器获取每个位置处的电容式传感器的检测数据。该每个位置处的电容式传感器的检测数据可以为该每个位置处的电容式传感器的检测信号进行采样得到的数据。
在具体实现中，可由每个位置处的电容式传感器将检测信号传输至该可 穿戴设备中该每个位置处的电容式传感器连接的模拟前端(Analog Front-End，简称AFE)电路，并由该每个位置处的电容式传感器连接的AFE电路，将该检测信号传输至模数转换器(Analog to Digital Converter，简称ADC)，由该ADC对该每个位置处的电容式传感器的检测信号进行转换得到数字信号即该检测数据。该处理器可从ADC获取该每个位置处的电容式传感器的检测数据。
S202、根据该至少两个位置处的电容式传感器的检测数据，采用预设的线性关系，得到线性组合数据。
S203、根据该线性组合数据，判断是否检测到改变该可穿戴设备的预设初始状态的操作行为。
通过执行上述S201可获取该每个位置处的电容式传感器的检测数据，在获得该至少两个位置处的电容式传感器的检测数据的情况下，便可通过执行S202确定线性组合数据，继而执行S203根据该线性组合数据判断是否检测到改变该可穿戴设备的预设初始状态的操作行为。
S204、若检测到该操作行为，则确定该可穿戴设备的状态为该操作行为的目标状态。
S205、若未检测到该操作行为，则确定该可穿戴设备的状态为该预设初始状态。
在检测到该操作行为的情况下，还可根据该操作行为，确定该可穿戴设备的状态为该操作行为的目标状态，即将该可穿戴设备的状态从该预设初始状态，切换至该操作行为的目标状态。
反之，若未检测到该操作行为，则可确定该可穿戴设备的状态为该预设初始状态，即保持该可穿戴设备的状态为该预设初始状态，而不进行状态切换。
可选的，若该预设初始状态为非佩戴状态，该目标状态为佩戴状态，则还可执行该佩戴状态的操作，如开始播放音频数据、接收音频数据，发送音频数据，或者，开始检测生物特征信号等。
可选的，若该预设初始状态为佩戴状态，则该目标状态为非佩戴状态，则还可执行该非佩戴状态的操作，如停止播放音频数据、停止接收音频数据，停止发送音频数据、或者，停止检测生物特征信号等。
该方法中，在确定该可穿戴设备的佩戴状态的情况下，可执行佩戴状态 的操作，以对可穿戴设备进行精准控制。
由于本申请实施例的方案在可穿戴设备的至少两个位置处设置了电容式传感器，则该可穿戴设备的佩戴检测方法，可称为基于多通道方案的佩戴检测。例如，若可穿戴设备内设置电容式传感器的位置个数为2，则可该多通道方案的佩戴检测，便可称为双通道方案的佩戴检测方法。
可穿戴设备的操作行为，会使得可穿戴设备上至少两个位置处的电容式传感器与人体接触或者分离，从而使得至少两个位置处的电容式传感器的检测数据发生变化，因而可根据该至少两个位置的电容式传感器的检测数据，判断是否检测到改变可穿戴设备的预设初始状态的操作行为，继而根据该操作行为的检测结果确定可穿戴设备的状态。而，误触仅会使得至少两个位置中部分位置的电容式传感器被接触，而不会使得所有位置的传感器均接触，而误脱落也仅会使得至少两个位置中部分位置的传感器分离，而不会使得所有位置的传感器分离，因而，可根据该至少两个位置的电容式传感器的检测数据，判断是否检测到改变可穿戴设备的预设初始状态的操作行为，继而根据该操作行为的检测结果确定可穿戴设备的状态，可避免可穿戴设备在佩戴检测时出现的误佩戴或者误脱落等误判问题，提高了可穿戴设备佩戴检测的准确度。
并且，可穿戴设备外部沾水、汗渍等，或者，可穿戴设备放置于桌面或金属导体上，或者，手握可穿戴设备，或者可穿戴设备放置于口袋内等一些极端应用情况下，仅会使得部分位置的电容式传感器的检测数据发生变化，而不会使得所有位置的电容式传感器的检测数据均发生变化。而基于该至少两个位置处的电容式传感器的检测数据所得到的线性组合数据，可有效反应该至少两个位置中各位置的电容式传感器的检测数据之间的相关性，因而，基于该至少两个位置处的电容式传感器的检测数据，采用预设的线性关系，得到线性组合数据，根据该线性组合数据，判断是否检测到改变该可穿戴设备的预设初始状态的操作行为，可有效避免可穿戴设备在极端应用情况下的误佩戴、误脱落等佩戴检测时出现的误判问题。
每个位置处的传感器为电容式传感器，则检测数据可以为电容值，那么基于检测到至少两个位置处的电容式传感器的电容值，判断是否检测检测到改变可穿戴设备的预设初始状态的操作行为，继而根据该操作行为的检测结 果确定可穿戴设备的状态，可节省经济成本，实现可穿戴设备中电容式传感器的快速迭代量产。
本申请实施例提供的可穿戴设备的佩戴检测方法，可通过获取可穿戴设备的至少两个位置处的电容式传感器的检测数据，并根据该至少两个位置处的电容式传感器的检测数据，采用预设的线性关系，得到线性组合数据，继而根据该线性组合数据，判断是否检测到改变该可穿戴设备的预设初始状态的操作行为，若检测到该操作行为，则确定该可穿戴设备的状态为该操作行为的目标状态，若未检测到该操作行为，则确定该可穿戴设备的状态为该预设初始状态。该方法中，根据该至少两个位置处的电容式传感器的检测数据，采用预设的线性关系，得到线性组合数据，根据该线性组合数据判断是否检测到改变该可穿戴设备的预设初始状态的操作行为，并根据该操作行为的检测结果确定该可穿戴设备的状态，可有效避免可穿戴设备外部沾水、汗渍等，或者，可穿戴设备放置于桌面或金属导体上，或者，手握可穿戴设备，或者可穿戴设备放置于口袋内等一些极端应用情况下的误佩戴或误脱落等在佩戴检测时出现的误判问题，提高了可穿戴设备佩戴检测的准确度。
如下分别针对可穿戴设备的预设初始状态为非佩戴状态，以及佩戴状态两种情况，对上述图2所示的可穿戴设备的佩戴检测方法的进行示例说明。该方法可为上述图2所示的佩戴检测方法中，预设初始状态为非佩戴状态，该操作行为的目标状态为佩戴状态的情况下，判断是否检测到的改变可穿戴设备的预设初始状态的操作行为的示例。图3为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图二。如图3所示，上述S203中根据该线性组合数据，判断是否检测到改变该可穿戴设备的预设初始状态的操作行为可包括：
S301、确定该线性组合数据是否达到预设的第一状态条件。
S302、若该线性组合数据达到该第一状态条件，则确定检测到该操作行为。
S303、若该线性组合数据未达到该第一状态条件，则确定未检测到该操作行为。
在该实施例中，该第一状态条件可以为从非佩戴状态进入佩戴状态的条件。
在该方法的一个示例中，可针对单次采样得到的该至少两个位置处的电容式传感器的检测数据，得到该单次采样的线性组合数据，并执行S301确定该单次采样的线性组合数据是否达到该第一状态条件，若该单次采样的线性组合数据达到该第一状态条件，则可确检测到该操作行为。
在该方法的另一个示例中，可针对多次采样得到的该至少两个位置处的电容式传感器的检测数据，得到该多次采样的线性组合数据，并分别执行S302确定该多次采样的线性组合数据是否均达到该第一状态条件，若该多次采样的线性组合数据均达到该第一状态条件，则可确定检测到该操作行为。
以入耳式的耳机为例，若该预设初始状态为非佩戴状态即耳外状态，该操作行为的目标状态为佩戴状态即耳内状态，即该操作行为为入耳操作，则该第一状态条件为从耳外状态进入耳内状态的条件。
本申请实施例提供的可穿戴设备的佩戴检测方法，可在确定该至少两个位置处的电容式传感器的检测数据所得到的该线性组合数据达到第一状态条件的情况下，便可确定检测到该操作行为，若该线性组合数据未达到该第一状态条件，便可确定未检测到该操作行为，继而根据该操作行为的检测结果确定该可穿戴设备的状态，有效避免可穿戴设备外部沾水、汗渍，或者，可穿戴设备放置于桌面或金属导体上，或者，手握可穿戴设备，或者可穿戴设备放置于口袋内等一些极端应用情况下的误佩戴或误脱落等在佩戴检测时出现的误判问题，提高了可穿戴设备佩戴检测的准确度。
图4为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图三。该方法可以为图3所示的方法，在可穿戴设备的预设初始状态为非佩戴状态，该操作行为的目标状态为佩戴状态的一种可能的示例。如图4所示，上述S301中确定该线性组合数据是否达到该第一状态条件，可包括：
S401、确定该线性组合数据的变化量是否大于或等于预设的第一阈值。
该线性组合数据的变化量可以为该线性组合数据，与初始组合数据的差值。该初始组合数据可以为预设的数值，也可以为根据至少两个位置处的电容式传感器的初始数据或基准数据得到的线性组合数据。该第一阈值可以为预设的进入佩戴状态的组合数据与初始组合数据的差值。以入耳式的耳机为例，该预设的进入佩戴状态的组合数据即为预设的入耳组合数据。
当可穿戴设备从非佩戴状态进入佩戴状态的过程中，该每个位置处的电容式传感器的检测数据会逐渐增大，相对于初始组合数据，基于该至少两个位置处的电容式传感器的检测数据所得到的线性组合数据的变化量也会逐渐增大。因而，该方法中，可通过确定该线性组合数据的变化量是否大于或等于预设的第一阈值，从而确定该可穿戴设备的佩戴操作是否为进入佩戴状态的操作。
相应的，上述S302中若该线性组合数据达到该第一状态条件，则确定检测到该操作行为，包括：
S402、若该线性组合数据的变化量大于或等于该第一阈值，则确定检测到该操作行为。
当该线性组合数据的变化量大于或等于该第一阈值，则可确定该线性组合数据满足佩戴状态条件，从而可确定检测到该操作行为。
相应的，上述S303中若该线性组合数据未达到该第二状态条件，则确定未检测到该操作行为，可包括：
S403、若该线性组合数据的变化量小于该第一阈值，则可确定未检测到该操作行为。
当该线性组合数据的变化量小于该第一阈值，则可确定该线性组合数据不满足佩戴状态条件，从而可确定未检测到该操作行为。
本申请实施例提供的方法，可在基于该至少两个位置处的电容式传感器的检测数据所得到的线性组合数据的变化量大于或等于该第一阈值的情况下，确定检测到该操作行为，而在该线性组合数据的变化量小于该第一阈值的情况下，确定未检测到该操作行为，继而可根据该操作行为的检测结果确定该可穿戴设备的状态，可避免可穿戴设备外部沾水、汗渍，或者，可穿戴设备放置于桌面或金属导体上，或者，手握可穿戴设备，或者可穿戴设备放置于口袋内等一些极端应用情况下的误佩戴或误脱落等在佩戴检测时出现的误判问题，提高检测准确度。
图5为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图四。该方法可以为图3所示的方法，在可穿戴设备的初始状态为非佩戴状态，该操作行为的目标状态为佩戴状态的另一种可能的示例。如图5所示，上述S301 中确定该线性组合数据是否达到该第一状态条件，可包括：
S501、检测该线性组合数据的曲线上升沿。
可穿戴设备从非佩戴状态进入佩戴状态的过程中，该每个位置处的电容式传感器的检测数据便会从预设的基准数据逐渐增大，基于该至少两个位置处的电容式传感器的检测数据得到的该线性组合数据也在逐渐增大，因而，可通过检测该线性组合数据的曲线上升沿，判断是否检测到该操作行为。
相应的，上述S302中若该线性组合数据达到该第一状态条件，则确定检测到该操作行为，包括：
S502、若检测到该曲线上升沿，则确定检测到该操作行为。
若检测到该线性组合数据的曲线上升沿，则可确定该线性组合数据满足佩戴状态条件，从而可确定检测到该操作行为。
相应的，上述S303中若该线性组合数据未达到该第二状态条件，则确定未检测到该操作行为，可包括：
S503、若未检测到该曲线上升沿，则确定未检测到该操作行为。
若未检测到该线性组合数据的曲线上升沿，即不满足佩戴状态条件，便可确定未检测到该操作行为。
本申请实施例提供的方法，可在检测到基于该至少两个位置处的电容式传感器的检测数据所得到的线性组合数据的曲线上升沿的情况下，确定检测到该操作行为，而在未检测到该线性组合数据的曲线上升沿的情况下，则可确定未检测到该操作行为，继而确定该可穿戴设备的佩戴状态，有效避免可穿戴设备外部沾水、汗渍等，或者，可穿戴设备放置于桌面或金属导体上，或者，手握可穿戴设备，或者可穿戴设备放置于口袋内等一些极端应用情况下的误佩戴或误脱落等在佩戴检测时出现的误判问题，提高检测准确度。
图6为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图五。该方法可为上述图2所示的佩戴检测方法中，预设初始状态为佩戴状态，该操作行为的目标状态为非佩戴状态的情况下，判断是否检测到改变可穿戴设备的预设初始状态的操作行为的示例。如图6所示，上述S203中根据该线性组合数据，判断是否检测到改变该可穿戴设备的预设初始状态的操作行为可包括：
S601、确定该线性组合数据是否达到预设的第二状态条件。
S602、若该线性组合数据达到该第二状态条件，则确定检测到该操作行为。
S603、若该线性组合数据未达到该第二状态条件，则确定未检测到该操作行为。
在该实施例中，该第二状态条件可以为从佩戴状态进入非佩戴状态的条件。
在该方法的一个示例中，可针对单次采样得到的该至少两个位置处的电容式传感器的检测数据，得到该单次采样的线性组合数据，并执行S601确定该单次采样的线性组合数据是否达到该第二状态条件，若该单次采样的线性组合数据达到该第二状态条件，则可确检测到该操作行为。
在该方法的另一个示例中，可针对多次采样得到的该至少两个位置处的电容式传感器的检测数据，得到该多次采样的线性组合数据，并分别执行S602确定该多次采样的线性组合数据是否均达到该第二状态条件，若该多次采样的线性组合数据均达到该第二状态条件，则可确定检测到该操作行为。
以入耳式的耳机为例，若该预设初始状态为佩戴状态即耳内状态，该操作行为的目标状态为非佩戴状态即耳外状态，则该第二状态条件为从耳内状态进入耳外状态的条件。
本申请实施例提供的可穿戴设备的佩戴检测方法，可在确定该至少两个位置处的电容式传感器的检测数据所得到的该线性组合数据达到第二状态条件的情况下，便可确定检测到该操作行为，若该线性组合数据未达到该第一状态条件，便可确定未检测到该操作行为，继而根据该操作行为的检测结果确定该可穿戴设备的状态，有效避免可穿戴设备外部沾水、汗渍，或者，可穿戴设备放置于桌面或金属导体上，或者，手握可穿戴设备，或者可穿戴设备放置于口袋内等一些极端应用情况下的误佩戴或误脱落等在佩戴检测时出现的误判问题，提高了可穿戴设备佩戴检测的准确度。
图7为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图六。该方法可以为图6所示的方法，在可穿戴设备的初始状态为佩戴状态，该操作行为的目标状态为非佩戴状态的一种可能的示例。如图7所示，则上述S701中确定该线性组合数据是否达到该第二状态条件，可包括：
S701、确定该线性组合数据的变化量是否小于或等于预设的第二阈值。
该线性组合数据的变化量可以为该线性组合数据，与初始组合数据的差值。该初始组合数据可以为预设的数值，也可以为根据至少两个位置处的电容式传感器的初始数据或基准数据得到的线性组合数据。该第二阈值可以为预设的进入非佩戴状态的组合数据与初始组合数据的差值。以入耳式的耳机为例，该预设的进入非佩戴状态的组合数据即为预设的出耳组合数据。
当可穿戴设备从佩戴状态进入非佩戴状态的过程中，该每个位置处的电容式传感器的检测数据会逐渐减小，相对于初始组合数据，基于该至少两个位置处的电容式传感器的检测数据所得到的线性组合数据的变化量也会逐渐减小。因而，该方法中，可通过确定该线性组合数据的变化量是否小于或等于预设的第二阈值，从而确定是否检测到该操作行为。
相应的，上述S602中若该线性组合数据达到该第二状态条件，则确定检测到该操作行为，可包括：
S702、若该线性组合数据的变化量小于或等于该第二阈值，则确定检测到该操作行为。
当该线性组合数据的变化量小于或等于该第二阈值，则可确定该线性组合数据满足非佩戴状态条件，从而可确定检测到针对该可穿戴设备的操作行为，该操作行为为进入非佩戴状态的操作行为。
相应的，上述S603中若该线性组合数据未达到该第二状态条件，则确定未检测到该操作行为包括：
S703、若该线性组合数据的变化量大于该第二阈值，则确定未检测到该操作行为。
若该线性组合数据的变化量大于该第二阈值，即不满足非佩戴状态条件，便可确定未检测到进入非佩戴状态的操作行为。
本申请实施例提供的方法，可在基于该至少两个位置处的电容式传感器的检测数据所得到的线性组合数据的变化量小于或等于该第二阈值的情况下，确定检测到该操作行为，而在该线性组合数据的变化量大于该第二阈值的情况下，确定未检测到该操作行为，继而根据该操作行为的检测结果确定该可穿戴设备的状态，有效避免可穿戴设备外部沾水、汗渍等，或者，可穿戴设备放置于桌面或金属导体上，或者，手握可穿戴设备，或者可穿戴设备放置 于口袋内等一些极端应用情况下的误佩戴或误脱落等在佩戴检测时出现的误判问题，提高检测准确度。
图8为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图七。该方法可以为图6所示的方法，在可穿戴设备的初始状态为佩戴状态，该操作行为的目标状态为非佩戴状态的另一种可能的示例。如图8所示，上述S601中确定该线性组合数据是否达到该第二状态条件，可包括：
S801、检测该线性组合数据的曲线下降沿。
可穿戴设备从佩戴状态进入非佩戴状态的过程中，该每个位置处的电容式传感器的检测数据便会逐渐减小，基于该至少两个位置处的电容式传感器的检测数据得到的该线性组合数据也在逐渐减小，因而，可通过检测该线性组合数据的曲线下降沿，确定是否检测到该操作行为。
相应的，上述S602中若该线性组合数据达到该第二状态条件，则确定检测到该操作行为，可包括：
S802、若检测到该曲线下降沿，则确定检测到该操作行为。
若检测到该线性组合数据的曲线下降沿，则可确定该线性组合数据满足非佩戴状态条件，从而可确定检测到该操作行为为进入非佩戴状态的操作行为。
相应的，上述S603中若该线性组合数据未达到该第二状态条件，则确定未检测到该操作行为，可包括：
S803、若未检测到该曲线下降沿，则确定未检测到该操作行为。
若未检测到该线性组合数据的曲线下降沿，即不满足非佩戴状态条件，便可确定未检测到进入非佩戴状态的操作行为。
本申请实施例提供的方法，可在检测到基于该至少两个位置处的电容式传感器的检测数据所得到的线性组合数据的曲线下降沿的情况下，确定检测到该操作行为，而在未检测到该线性组合数据的曲线下降沿的情况下，确定未检测到该操作行为，继而根据该操作行为的检测结果确定该可穿戴设备的状态，有效避免可穿戴设备外部沾水、汗渍等，或者，可穿戴设备放置于桌面或金属导体上，或者，手握可穿戴设备，或者可穿戴设备放置于口袋内等一些极端应用情况下的误佩戴或误脱落等在佩戴检测时出现的误判问题，提 高检测准确度。
本申请实施例还可提供一种可穿戴设备的佩戴检测方法，可通过具体示例，对上述任一方法进行说明。在该示例中，可以无线耳机的耳机本体11内两个位置处的传感器为电容式传感器为例说明。该两个位置处的传感器可分别表示为第一传感器(sensor1)和第二传感器(sensor2)。图9为本申请实施例提供的一种可穿戴设备的佩戴检测方法的流程图八。如图9示，该可穿戴设备的佩戴检测方法可包括：
S901、获取该两个位置处的电容式传感器的第一初始电容值及第一初始组合电容值。
第一传感器的第一初始电容值可表示为C10，其可称为第一传感器的参考电容；第二传感器的第一初始电容值可表示为C20，其可称为第二传感器的参考电容；该第一初始组合电容值可表示为C30，其可称为组合参考电容。
S902、根据预设的采样周期，对该两个位置处的电容式传感器的第一检测信号进行采样，得到每个位置处的电容式传感器的第一采样电容值，并根据该两个位置处的电容式传感器的第一采样电容得到第一线性组合电容值。
第n次采样所得到该第一传感器的第一采样电容值可表示为C1n0；第n次采样所得到该第二传感器的第一采样电容值可表示为C2n0；基于第n次采样的第一传感器的第一采样电容和第n次采样的第二传感器的第一采样电容所得到的第一线性组合电容值可表示为C3n0。
该C3n0可根据C1n0和C2n0，采用预设的线性关系得到。
该预设的线性关系可以为如下所示：C3n0＝K1*C1n0+K2*C2n0。其中，n表示第n次采样，K1和K2可以为预设的常数。
S903、若无线耳机的初始状态为耳外状态，则根据该第一线性组合电容值，判断是否检测到无线耳机的入耳操作行为。
该方法中，可根据第一传感器的第一采样电容值和第一初始电容值，得到该第一传感器的第一电容值变化量；根据第二传感器的第一采样电容值和第一初始电容值，得到该第二传感器的第一电容值变化量；可根据该第一线性组合电容值和第一初始组合电容值，得到第一组合电容值变化量。以第n次采样为例，则该第一传感器的第一电容值变化量DetaC1n0＝C1n0-C10；该 第二传感器的第一电容值变化量DetaC2n0＝C2n0-C20；该第一组合电容值变化量DetaC3n0＝C3n0-C30。
在一种实现方式中，可比较该第一线性组合电容值的变化量DetaC3n0与预设的入耳组合阈值OnTh3。若DetaC3n0>OnTh3，则可确定检测到该无线耳机的入耳操作行为。
在另一种实现方式中，可检测该第一线性组合电容值的曲线上升沿。若检测到该曲线上升沿，则可确定检测到该无线耳机的入耳操作行为。
S904、若检测到该无线耳机的入耳操作行为，则确定该无线耳机的状态为耳内状态。
反之，若未检测到入耳操作行为，则保持该无线耳机的状态为预设初始状态，即耳外状态。
S905、获取该两个位置处的电容式传感器的第二初始电容值及第二初始组合电容值。
第一传感器的第二初始电容值可表示为C11，其可称为第一传感器的参考电容；第二传感器的第二初始电容值可表示为C21，其可称为第二传感器的参考电容；该第二初始组合电容值可表示为C31，其可称为组合参考电容。
S906、根据预设的采样周期，对该两个位置处的电容式传感器的第二检测信号进行采样，得到每个位置处的电容式传感器的第二采样电容值，并根据该两个位置处的电容式传感器的第二采样电容得到第二线性组合电容值。
第n次采样所得到该第一传感器的第二采样电容值可表示为C1n1；第n次采样所得到该第二传感器的第二采样电容值可表示为C2n1；基于第n次采样的第一传感器的第二采样电容和第n次采样的第二传感器的第二采样电容所得到的第二线性组合电容值可表示为C3n1。
该C3n1可根据C1n1和C2n1，采用预设的线性关系得到。
该预设的线性关系可以为如下所示：C3n1＝K1*C1n1+K2*C2n1。其中，n表示第n次采样，K1和K2可以为预设的常数。
S907、根据该第二线性组合电容值，判断是否检测到无线耳机的出耳操作行为。
该方法中，可根据第一传感器的第二采样电容值和第二初始电容值，得到该第一传感器的第二电容值变化量；根据第二传感器的第二采样电容值和 第二初始电容值，得到该第二传感器的第二电容值变化量；可根据该第二线性组合电容值和第二初始组合电容值，得到第二组合电容值变化量。以第n次采样为例，则该第一传感器的第二电容值变化量DetaC1n1＝C1n1-C11；该第二传感器的第二电容值变化量DetaC2n1＝C2n1-C21；该组合电容值变化量DetaC3n1＝C3n1-C31。
在一种实现方式中，可比较该第二组合电容值变化量DetaC3n1与预设的出耳组合阈值OffTh3。若DetaC3n1<OffTh3，则可确定检测到该无线耳机的出耳操作行为。
在另一种实现方式中，可检测该第二线性组合电容值的曲线下降沿。若检测到该曲线下降沿，则可确检测到定该无线耳机的出耳操作行为。
S908、若检测到该无线耳机的出耳操作行为，则确定该无线耳机的状态为耳外状态。
反之，若未检测到出耳操作行为，则保持该无线耳机的状态为耳内状态。
本申请实施例提供的可穿戴设备的佩戴检测方法，可根据两个位置处的电容式传感器的电容值得到的线性组合电容值判断是否检测到无线耳机的操作行为，并根据该操作行为的检测结果，确定可穿戴设备的状态，还可避免无线耳机外部沾水、汗渍等，或者，可穿戴设备放置于桌面或金属导体上，或者，手握可穿戴设备，或者可穿戴设备放置于口袋内等一些极端应用情况下的误佩戴或误脱落等在佩戴检测时出现的误判问题，提高检测准确度。同时，在确定检测到针对该可穿戴设备的操作行为的情况下，还确定该可穿戴设备的佩戴状态，以对可穿戴设备进行精准控制。
下文对执行上述佩戴检测方法的装置、可穿戴设备以及存储介质等进行说明。
图10为本申请实施例提供的一种可穿戴设备的佩戴检测装置的结构示意图。该可穿戴设备的至少两个位置处具有电容式传感器。如图10所示，可穿戴设备的佩戴检测装置1000可包括：
获取模块1001，用于获取该至少两个位置处的电容式传感器的检测数据.
检测模块1002，用于根据该至少两个位置处的电容式传感器的检测数据，采用预设的线性关系，得到线性组合数据；根据该线性组合数据，判断是否 检测到改变该可穿戴设备的预设初始状态的操作行为；
确定模块1003，用于若检测到该操作行为，则确定该可穿戴设备的状态为该操作行为的目标状态；若未检测到该操作行为，则确定该可穿戴设备的状态为该预设初始状态。
可选的，该预设初始状态为非佩戴状态，该操作行为的目标状态为佩戴状态。检测模块1002，具体用于确定该线性组合数据是否达到该第一状态条件；若该线性组合数据达到该第一状态条件，则确定检测到该操作行为；若该线性组合数据未达到该第一状态条件，则确定未检测到该操作行为。
可选的，检测模块1002，具体用于确定该线性组合数据的变化量是否大于或等于预设的第一阈值；若该线性组合数据的变化量大于或等于该第一阈值，则确定检测到该操作行为；若该线性组合数据的变化量小于该第一阈值，则确定未检测到该操作行为。
可选的，检测模块1002，具体用于检测该线性组合数据的曲线上升沿；若检测到该曲线上升沿，则确定检测到该操作行为；若未检测到该曲线上升沿，则确定未检测到该操作行为。
可选的，该预设初始状态为佩戴状态，该操作行为的目标状态为非佩戴状态。检测模块1002，具体用于确定该线性组合数据是否达到预设的第二状态条件；若该线性组合数据达到该第二状态条件，则确定检测到该操作行为；若该线性组合数据未达到该第二状态条件，则确定未检测到该操作行为。
可选的，检测模块1002，具体用于确定该线性组合数据的变化量是否小于或等于预设的第二阈值；若该线性组合数据的变化量小于或等于该第二阈值，则确定检测到该操作行为；若该线性组合数据的变化量大于该第二阈值，则确定未检测到该操作行为。
可选的，检测模块1002，具体用于检测该线性组合数据的曲线下降沿；若检测到该曲线下降沿，则确定检测到该操作行为；若未检测到该曲线下降沿，则确定未检测到该操作行为。
本申请实施例提供的可穿戴设备的佩戴检测装置，可执行上述图2-图9中任一项所示的可穿戴设备的佩戴检测方法，其具体实现及有益效果参见上述，在此不再赘述。
本申请实施例还提供一种可穿戴设备。图11为本申请实施例提供的可穿戴设备的结构示意图。如图11所示，本实施例的可穿戴设备1100包括：设备本体1101，设备本体1101内的至少两个位置处具有电容式传感器1102，设备本体1101内还包括：处理器1103和存储器1104，处理器1103与至少两个位置处的传感器1102连接；处理器1103还与存储器1104连接。
存储器1104，用于存储程序指令。
处理器1103，用于调用存储器1104存储的该程序指令时，执行上述图2-图9中任一所述的可穿戴设备的佩戴检测方法。
可选的，该至少两个位置中，存在相邻的两个位置间的距离大于或等于预设距离。
可选的，该可穿戴设备1100为耳机或助听设备。
本申请实施例还提供一种计算机可读存储介质，其上存储有计算机程序，该计算机程序可被上述图11所述的处理器1103执行实现上任一实施例上述图2-图9中任一所述的可穿戴设备的佩戴检测方法，其具体实现及有效效果，可参见上述，在此不再赘述。
本领域普通技术人员可以理解：实现上述方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成，前述的程序可以存储于一计算机可读取存储介质中，该程序在执行时，执行包括上述方法实施例的步骤；而前述的存储介质包括：ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。
最后应说明的是：以上各实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述各实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分或者全部技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的范围。

Claims (14)

  1. 一种可穿戴设备的佩戴检测方法，其特征在于，所述可穿戴设备的至少两个位置处具有电容式传感器，所述方法包括：
    获取所述至少两个位置处的电容式传感器的检测数据；
    根据所述至少两个位置处的电容式传感器的检测数据，采用预设的线性关系，得到线性组合数据；
    根据所述线性组合数据，判断是否检测到改变所述可穿戴设备的预设初始状态的操作行为；
    若检测到所述操作行为，则确定所述可穿戴设备的状态为所述操作行为的目标状态；
    若未检测到所述操作行为，则确定所述可穿戴设备的状态为所述预设初始状态。
  2. 根据权利要求1所述的方法，其特征在于，所述预设初始状态为非佩戴状态，所述操作行为的目标状态为佩戴状态，所述根据所述线性组合数据，判断是否检测到改变所述可穿戴设备的预设初始状态的操作行为，包括：
    确定所述线性组合数据是否达到预设的第一状态条件；
    若所述线性组合数据达到所述第一状态条件，则确定检测到所述操作行为；
    若所述线性组合数据未达到所述第一状态条件，则确定未检测所述操作行为。
  3. 根据权利要求2所述的方法，其特征在于，所述确定所述线性组合数据是否达到预设的第一状态条件，包括：
    确定所述线性组合数据的变化量是否大于或等于预设的第一阈值；
    若所述线性组合数据的变化量大于或等于所述第一阈值，则确定检测到所述操作行为；
    若所述线性组合数据的变化量小于所述第一阈值，则确定未检测到所述操作行为；
    或者，
    检测所述线性组合数据的曲线上升沿；
    若检测到所述曲线上升沿，则确定检测到所述操作行为；
    若未检测到所述曲线上升沿，则确定未检测到所述操作行为。
  4. 根据权利要求1所述的方法，其特征在于，所述预设初始状态为佩戴状态，所述操作行为的目标状态为非佩戴状态，所述根据所述线性组合数据，判断是否检测到改变所述可穿戴设备的预设初始状态的操作行为，包括：
    确定所述线性组合数据是否达到预设的第二状态条件；
    若所述线性组合数据达到所述第二状态条件，则确定检测到所述操作行为；
    若所述线性组合数据未达到所述第二状态条件，则确定未检测到所述操作行为。
  5. 根据权利要求4所述的方法，其特征在于，所述确定所述线性组合数据是否达到预设的第二状态条件，包括：
    确定所述线性组合数据的变化量是否小于或等于预设的第二阈值；
    若所述线性组合数据的变化量小于或等于所述第二阈值，则确定检测到所述操作行为；
    若所述线性组合数据的变化量大于所述第二阈值，则确定未检测到所述操作行为；
    或者，
    检测所述线性组合数据的曲线下降沿；
    若检测到所述曲线下降沿，则确定检测到所述操作行为；
    若未检测到所述曲线下降沿，则确定未检测到所述操作行为。
  6. 根据权利要求1-5中任一项所述的方法，其特征在于，所述至少两个位置中，至少存在两个位置间的距离大于或等于预设距离。
  7. 一种可穿戴设备的佩戴检测装置，其特征在于，所述可穿戴设备的至少两个位置处具有电容式传感器，所述装置包括：
    获取模块，用于获取所述至少两个位置处的电容式传感器的检测数据；
    检测模块，用于根据所述至少两个位置处的电容式传感器的检测数据，采用预设的线性关系，得到线性组合数据；根据所述线性组合数据，判断是否检测到改变所述可穿戴设备的预设初始状态的操作行为；
    确定模块，用于若检测到所述操作行为，则确定所述可穿戴设备的状态为所述操作行为的目标状态；若未检测到所述操作行为，则确定所述可穿戴 设备的状态为所述预设初始状态。
  8. 根据权利要求7所述的装置，其特征在于，所述预设初始状态为非佩戴状态，所述操作行为的目标状态为佩戴状态；
    所述检测模块，具体用于确定所述线性组合数据是否达到预设的第一状态条件；若所述线性组合数据达到所述第一状态条件，则确定检测到所述操作行为；若所述线性组合数据未达到所述第一状态条件，则确定未检测到所述操作行为。
  9. 根据权利要求8所述的装置，其特征在于，
    所述检测模块，具体用于确定所述线性组合数据的变化量是否大于或等于预设的第一阈值；若所述线性组合数据的变化量大于或等于所述第一阈值，则确定检测到所述操作行为；若所述线性组合数据的变化量小于所述第一阈值，则确定未检测到所述操作行为；
    或者，
    所述检测模块，具体用于检测所述线性组合数据的曲线上升沿；若检测到所述曲线上升沿，则确定检测到所述操作行为；若未检测到所述曲线上升沿，则确定未检测到所述操作行为。
  10. 根据权利要求7所述的装置，其特征在于，所述预设初始状态为佩戴状态，所述操作行为的目标状态为非佩戴状态；
    所述检测模块，具体用于确定所述线性组合数据是否达到预设的第二状态条件；若所述线性组合数据达到所述第二状态条件，则确定检测到所述操作行为；若所述线性组合数据未达到所述第二状态条件，则确定未检测到所述操作行为。
  11. 根据权利要求10所述的装置，其特征在于，
    所述检测模块，具体用于确定所述线性组合数据的变化量是否小于或等于预设的第二阈值；若所述线性组合数据的变化量小于或等于所述第二阈值，则确定检测到所述操作行为；若所述线性组合数据的变化量大于所述第二阈值，则确定未检测到所述操作行为；
    或者，
    所述检测模块，具体用于检测所述线性组合数据的曲线下降沿；若检测到所述曲线下降沿，则确定检测到所述操作行为；若未检测到所述曲线下降 沿，则确定未检测到所述操作行为。
  12. 一种可穿戴设备，其特征在于，包括：设备本体，所述设备本体的至少两个位置处具有电容式传感器，所述设备本体还包括处理器和存储器，所述处理器与所述至少两个位置处的电容式传感器连接；所述处理器还与所述存储器连接；
    所述存储器，用于存储程序指令；
    所述处理器，用于调用所述存储器存储的所述程序指令时执行上述权利要求1-6中任一项所述的可穿戴设备的佩戴检测方法。
  13. 根据权利要求12所述的可穿戴设备，其特征在于，所述至少两个位置中，存在相邻的两个位置间的距离大于或等于预设距离。
  14. 一种计算机可读存储介质，其特征在于，所述存储介质存储有计算机程序，所述计算机程序被处理器执行时实现上述权利要求1-6中任一项所述的可穿戴设备的佩戴检测方法。
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