WO2018076744A1 - 智能穿戴设备的穿戴状态检测方法及检测装置 - Google Patents

智能穿戴设备的穿戴状态检测方法及检测装置 Download PDF

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Publication number
WO2018076744A1
WO2018076744A1 PCT/CN2017/090400 CN2017090400W WO2018076744A1 WO 2018076744 A1 WO2018076744 A1 WO 2018076744A1 CN 2017090400 W CN2017090400 W CN 2017090400W WO 2018076744 A1 WO2018076744 A1 WO 2018076744A1
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WIPO (PCT)
Prior art keywords
value
difference
wearable device
smart wearable
wearing
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Ceased
Application number
PCT/CN2017/090400
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English (en)
French (fr)
Inventor
杜鹏杰
付清华
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.)
Midea Group Co Ltd
GD Midea Air Conditioning Equipment Co Ltd
Original Assignee
Midea Group Co Ltd
Guangdong Midea Refrigeration Equipment Co Ltd
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Publication of WO2018076744A1 publication Critical patent/WO2018076744A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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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
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • 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
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/0245—Measuring pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
    • 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
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R27/00—Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
    • G01R27/02—Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
    • G01R27/26—Measuring inductance or capacitance; Measuring quality factor, e.g. by using the resonance method; Measuring loss factor; Measuring dielectric constants ; Measuring impedance or related variables
    • G01R27/2605—Measuring capacitance
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F24F11/58—Remote control using Internet communication
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/10—Occupancy

Definitions

  • the present invention relates to the field of electronic control technologies, and in particular, to a wearable state detecting method and a detecting device for a smart wearable device.
  • a main object of the present invention is to provide a wearable state detecting method and a detecting device for a smart wearable device, which are intended to accurately detect the wearing state of the smart wearable device, thereby providing accurate detection data to improve the user experience.
  • the present invention provides a wearable state detecting method for a smart wearable device, comprising the following steps:
  • the smart wearable device If the difference satisfies the first preset range within the predetermined number of wearing detections, it is determined that the smart wearable device is in a wearing state.
  • the present invention also provides a detecting device, the detecting device comprising:
  • An obtaining module configured to obtain an unworn reference value of the smart wearable device
  • a calculation module configured to read a contact capacitance generated by contact between the smart wearable device and the user's skin in one cycle every predetermined time, and calculate a difference between the contact capacitance value and the unworn reference value ;
  • a determining module configured to determine that the smart wearable device is in a wearing state if the difference satisfies the first preset range within a predetermined number of wearing detections.
  • the wearable state detecting method and the detecting device of the smart wearable device provided by the present invention read the contact capacitance value generated by the contact between the smart wearable device and the user's skin in one cycle every predetermined time, and calculate the contact capacitance value. And the difference between the reference value and the unworn reference value, if the difference value satisfies the first preset range within the predetermined number of wearing detections, determining that the smart wearable device is in the wearing state.
  • the contact capacitance value based on the wearing state detection is higher than the contact capacity value detected by the non-wearing state detection, and the change in the contact capacitance value is more obvious. Therefore, the present invention can accurately detect the contact capacitance value detected by comparing with the non-wearing reference value.
  • the wearable state of the smart wearable device provides accurate detection data to enhance the user experience.
  • FIG. 1 is a schematic flowchart of a first embodiment of a wearable state detecting method of a smart wearable device according to the present invention
  • FIG. 2 is a schematic diagram of a refinement process of obtaining a non-wearing reference value by the step smart wearing device in FIG. 1;
  • FIG. 3 is a schematic diagram showing a refinement flow of the first embodiment in which the smart wearable device is in a wearing state, if the difference in the step of the predetermined number of wear detections meets the preset range;
  • FIG. 4 is a schematic diagram showing a refinement process of the second embodiment in which the smart wearable device is in a wearing state, if the difference in the step of the predetermined number of wear detections meets the preset range;
  • FIG. 5 is a schematic flowchart of a second embodiment of a method for detecting a wearing state of a smart wearable device according to the present invention.
  • FIG. 6 is a schematic flowchart of a third embodiment of a method for detecting a wearing state of a smart wearable device according to the present invention.
  • FIG. 7 is a schematic diagram showing a refinement flow of the first embodiment in which the smart wearable device is in an unworn state, if the difference in the step of FIG. 6 meets the second preset range;
  • FIG. 8 is a schematic diagram showing a refinement flow of the second embodiment in which the smart wearable device is in an unworn state, if the difference in the step of FIG. 6 meets the second preset range;
  • FIG. 9 is a schematic flowchart of a fourth embodiment of a method for detecting a wearing state of a smart wearable device according to the present invention.
  • FIG. 10 is a schematic diagram showing a refinement flow of the third embodiment in which the smart wearable device is in an unworn state, if the difference in the step of FIG. 6 meets the second preset range;
  • FIG. 11 is a schematic diagram showing a refinement process of the fourth embodiment in which the smart wearable device is in an unworn state, if the difference in the step of FIG. 6 meets the second preset range;
  • FIG. 12 is a schematic diagram showing a refinement process of the fifth embodiment in which the smart wearable device is in an unworn state, if the difference satisfies the second preset range in FIG. 6;
  • FIG. 13 is a schematic flowchart of a fifth embodiment of a method for detecting a wearing state of a smart wearable device according to the present invention.
  • Figure 14 is a schematic diagram of the functional modules of the first embodiment of the detecting device of the present invention.
  • FIG. 15 is a schematic diagram of a refinement function module of the acquisition module in FIG. 14;
  • 16 is a schematic diagram of a refinement function module of the first embodiment of the determination module of FIG. 14;
  • 17 is a schematic diagram of a refinement function module of the second embodiment of the determination module of FIG. 14;
  • FIG. 18 is a schematic diagram of a refinement function module of the first embodiment of the determining unit of FIG. 17;
  • FIG. 19 is a schematic diagram of a refinement function module of the second embodiment of the determining unit of FIG. 17;
  • 20 is a schematic diagram of a refinement function module of the third embodiment of the determination unit of FIG. 17.
  • the present invention provides a wearable state detecting method for a smart wearable device, which reads a contact capacitance value generated by contact between the smart wearable device and the user's skin in a cycle every predetermined time, and calculates the contact capacitance value and the The difference between the reference values is worn, and therefore, the wearing state of the smart wearable device such as the worn or unworn state may be determined according to whether the difference satisfies the first preset range within the predetermined number of wear detections.
  • the contact capacitance value based on the wearing state detection is higher than the contact capacity value detected by the non-wearing state detection, and the change in the contact capacitance value is more obvious. Therefore, the present invention can accurately detect the contact capacitance value detected by comparing with the non-wearing reference value.
  • the wearable state of the smart wearable device provides accurate detection data to enhance the user experience.
  • a wear status detecting method of the smart wearable device includes the following steps:
  • Step S10 Obtain an unworn reference value of the smart wearable device
  • the smart wearable device can be a smart wristband, a smart watch, etc., and has various detection functions such as steps, sleep, heart rate, body temperature, illumination, environmental noise, diet, and the like, and can be connected with a mobile terminal such as a mobile phone.
  • a mobile terminal such as a mobile phone.
  • Wireless connection such as tablet computers and smart homes such as air conditioners. Therefore, the present invention can directly execute the corresponding detection program by the smart wearable device, or the mobile terminal can acquire various capacitance values detected by the smart wearable device, thereby controlling the detection program.
  • the step S10 includes:
  • Step S101 after the smart wearable device is powered on, perform initialization
  • the smart wearable device after the smart wearable device is powered on, the smart wearable device automatically enters an initialization procedure after a predetermined time, such as 15 seconds, to obtain an unworn reference value.
  • Step S102 after the initialization is completed, the contact capacitance value in the first period is read, and the contact capacitance value is taken as the unworn reference value.
  • the capacitance generated by the contact between the user skin and the smart wearable device is read three times in one cycle, and the capacitance values obtained by the three times are summed to obtain the contact capacitance value.
  • the present invention does not limit the number of readings of the values in one cycle. In other embodiments, the number of times can be reasonably set according to actual needs.
  • the contact capacitance value in the first period is read, and the contact capacitance value is taken as an unworn reference value of the user wearing the smart wearable device, such as 4850 ⁇ 100.
  • Step S20 Read a contact capacitance value generated by contact between the user skin and the smart wearable device in one cycle every predetermined time, and calculate a difference between the contact capacitance value and the unworn reference value;
  • the contact capacitance generated by the contact between the user skin and the smart wearable device in one cycle can be read every 10 seconds, and the read contact capacitance value is calculated.
  • the difference between the reference values is not worn, and the wearing state of the smart wearable device, such as the worn state or the unworn state, is determined according to the size range of the difference.
  • Step S30 If the difference values satisfy the first preset range within the predetermined number of wearing detections, determine that the smart wearable device is in a wearing state.
  • the predetermined number of times of wearing can be set to 20 times, etc., and is not limited in particular; and the preset range that the difference M satisfies may be: the difference M>800 or 300 ⁇ M ⁇ 800, of course, the specific numerical range and It is not limited to this embodiment.
  • the wearable state detecting method of the smart wearable device reads the contact capacitance value generated by the contact between the smart wearable device and the user's skin in one cycle every predetermined time, and calculates the contact capacitance value and the unworn value.
  • the difference between the reference values determines whether the wearable state of the smart wearable device is in a worn or unworn state if the difference satisfies the first preset range within a predetermined number of wear detections.
  • the contact capacitance value based on the wearing state detection is higher than the contact capacity value detected by the non-wearing state detection, and the change in the contact capacitance value is more obvious. Therefore, the present invention can accurately detect the contact capacitance value detected by comparing with the non-wearing reference value.
  • the wearable state of the smart wearable device provides accurate detection data to enhance the user experience.
  • the step S30 includes:
  • Step S301 determining whether the difference is greater than a first predetermined value
  • Step S302 if the difference is greater than the first predetermined value, increase the number of times of wearing detection by a first preset value, and record the current wearing value;
  • the difference is greater than the first predetermined value. If the condition is met, that is, M>800, the current state of the smart wearable device may be determined to be tight, and at this time, the number N of wear detections is increased.
  • the first predetermined value is 5: N + 5, and the current wearing value is recorded.
  • Step S303 when the number of times of wearing detection exceeds a predetermined number of times, it is determined that the smart wearable device is in a wearing state.
  • step S301 further includes:
  • Step S304 if the difference is less than or equal to the first predetermined value, determining whether the difference is greater than a second predetermined value
  • Step S305 if the difference is greater than the second predetermined value and less than or equal to the first predetermined value, determining that the current state is a loose band, increasing the number of wearing detections by a second preset value, and recording the current Wear value
  • the difference M is greater than a second predetermined value, that is, whether M satisfies the following condition: 300 ⁇ M ⁇ 800, if the condition is met, it is determined that the smart wearable device is currently The state is loose.
  • the number N of wear detections is increased by a second predetermined value such as 4:N+4, and the current wearing value is recorded.
  • the second preset value is smaller than the first preset value. In this way, in the tight state, the wearing detection can be accelerated.
  • Step S306 when the number of times of wearing detection exceeds a predetermined number of times, it is determined that the smart wearable device is in a wearing state.
  • the smart wearable device when the number of times of wearing the detection N exceeds a predetermined number of times, such as 20, it indicates that the difference is within the preset range within the predetermined number of wearing detections, and then the smart wearable device can be determined to be in the wearing state.
  • the smart wearable device such as the wristband
  • the wristband should be worn in time; the mobile terminal can also be used to remind the user to wear the wristband in time.
  • step S20 further includes:
  • the smart wearable device when the number of times of wearing detection N ⁇ 20, or M ⁇ 300, it can be determined that the smart wearable device is not worn. That is, as long as the detection range or the size range of the difference is worn, and any of the preset conditions is not satisfied, it is determined that the smart wearable device is in the unworn state.
  • the smart wearable device can detect the parameters such as the body surface temperature and the heart rate of the user in real time or at a time, when the user enters the room, if the smart wearable device is judged to be wearing, the body surface temperature of the user can be accurately obtained and passed through the smart
  • the wearable device is directly sent to the smart home such as an air conditioner or forwarded to the air conditioner by the mobile terminal, thereby automatically adjusting to the temperature, humidity, etc. that the user feels comfortable; if the smart wearable device is judged to be unworn, the user may be prompted to be in a preset time.
  • the smart wearable device is worn, if it is determined that the wearable state is exceeded for a predetermined period of time, the indoor environment temperature is automatically acquired by the air conditioner, and a normal air-conditioning control program is performed.
  • the user's heart rate parameter can be accurately obtained and sent directly to the smart home such as an air conditioner or forwarded to the air conditioner by the mobile terminal through the smart wearable device, thereby automatically adjusting to The user feels comfortable temperature, humidity, etc.; if it is judged that the smart wearable device is not worn, the user may be prompted to wear the smart wearable device in a preset time, and when it is determined that the wearable state is exceeded, the sleep is automatically performed. mode.
  • the method further includes:
  • Step S50 If the difference does not satisfy the first preset range, obtain a contact capacitance value generated by the smart wearable device in contact with the user skin in the current period, and calculate a contact capacitance value of the previous period and the current period. The difference between the contact capacitance values;
  • the smart wearable device can be a smart wristband, a smart watch, etc., and has various detection functions such as steps, sleep, heart rate, body temperature, illumination, environmental noise, diet, and the like, and can be connected with a mobile terminal such as a mobile phone.
  • a mobile terminal such as a mobile phone.
  • Wireless connection such as tablet computers and smart homes such as air conditioners. Therefore, the present invention can directly execute the corresponding detection program by the smart wearable device, or the mobile terminal can acquire various capacitance values detected by the smart wearable device, thereby controlling the detection program.
  • the capacitance generated by the contact between the user skin and the smart wearable device is read three times in one cycle, and the capacitance values obtained by the three times are summed to obtain the contact capacitance value.
  • the present invention does not limit the number of readings of the values in one cycle. In other embodiments, the number of times can be reasonably set according to actual needs. The interval between the current period and the previous period can be set according to actual needs. In this embodiment, 10s is taken as an example for description.
  • Step S60 If the difference satisfies the second preset range, determine that the smart wearable device is in an unworn state.
  • the second preset range that the difference M between the contact capacitance value of the previous period and the contact capacitance value in the current period satisfies may be: the difference value M>800 or 300 ⁇ M ⁇ 800,
  • the specific numerical range is not limited to the embodiment.
  • the smart wearable device such as the wristband
  • the light display, the voice prompt, or the vibration reminder may be used to remind the user to wear or tighten the wristband in time to improve the detection accuracy of the wristband.
  • the mobile terminal can also be used to remind the user to wear the bracelet in time.
  • the step S60 includes:
  • Step S601 determining whether the difference is greater than a third predetermined value
  • Step S602 If the difference is greater than the third predetermined value, reduce the number of times of wearing detection by a third preset value, and update the unworn reference value;
  • the wear detection number N is decreased by a third preset value, such as 4, and the unworn reference value is updated.
  • Step S603 When the number of times of wearing detection meets a predetermined number of times and the number of times of data stabilization meets a preset default value, determining that the smart wearable device is in an unworn state.
  • the predetermined number of times and the preset default value are not limited to the embodiment, and in other embodiments, they may be reasonably set according to actual needs.
  • the specific steps of updating the unworn reference value are as follows:
  • step S602 further includes:
  • Step S604 Calculate a minimum value according to a contact capacitance value in a most recent predetermined period
  • the contact capacitance value in the last 10 cycles is counted, and the minimum contact capacitance value is obtained therefrom. It can be understood that the number of predetermined periods is not limited to the 10 listed here, and in other embodiments, it can be reasonably set according to actual conditions.
  • Step S605 When the contact capacitance value in the current period is less than the fourth predetermined value, the contact capacitance value in the current period is taken as the unworn reference value;
  • the contact capacitance value in the current period is less than the fourth predetermined value, such as 300, the contact capacitance value in the current period is taken as the unworn reference value.
  • Step S606 When the contact capacitance value in the current period is greater than or equal to the fourth predetermined value, the minimum value is taken as the unworn reference value.
  • the contact capacitance value in the current period is greater than or equal to 300
  • the minimum contact capacitance value counted from the last 10 cycles is taken as the unworn reference value.
  • the specific value of the fourth predetermined value is only used to help understanding and is not specifically limited.
  • step S50 further includes:
  • Step S70 Acquire a contact capacitance value in a most recent predetermined period, and calculate a sum of difference values between capacitance values acquired in all adjacent two periods.
  • the most recent predetermined period may take the contact value of the collected values of the last 10 periods, and sum the difference between the values of the values acquired in all the adjacent two periods to obtain a predetermined period.
  • Contact capacitance changes.
  • the magnitude of the sum of the differences between the values obtained by all the adjacent two periods obtained by the calculation may represent data stability.
  • the calculation of the value difference is not limited to all the two adjacent periods, and the difference calculation may be performed at intervals or for all the two periods, which is not specifically limited in the present invention. Can be reasonably selected according to actual needs.
  • step S601 further includes:
  • Step S607 if the difference is less than or equal to the third predetermined value, further determining whether the difference is greater than a fourth predetermined value;
  • Step S608 if the difference is greater than the fourth predetermined value and less than or equal to the third predetermined value, further comparing the sum of the differences between the capacitance values obtained by all the adjacent two periods The size between five predetermined values;
  • M it is further determined whether M is greater than a fourth predetermined value, such as 300, that is, whether M satisfies the following condition: 300 ⁇ M ⁇ 800, and if the condition is met, all the phases are compared.
  • a fourth predetermined value such as 300
  • the fifth predetermined value such as 50.
  • Step S609 if the sum of the difference values between the capacitance values acquired in all the two adjacent periods is greater than the fifth predetermined value, the number of times of wearing the detection is increased by a fourth preset value, and the number of times the data is stabilized is increased.
  • the fifth preset value if the sum of the difference values between the capacitance values acquired in all the two adjacent periods is greater than the fifth predetermined value, the number of times of wearing the detection is increased by a fourth preset value, and the number of times the data is stabilized is increased.
  • the fifth preset value if the sum of the difference values between the capacitance values acquired in all the two adjacent periods is greater than the fifth predetermined value, the number of times of wearing the detection is increased by a fourth preset value, and the number of times the data is stabilized is increased. The fifth preset value.
  • the number of times of wearing the detection N is increased by a fourth preset value, such as 1, and the number of times the data is stabilized.
  • Y increases the third preset value as 1. It should be understood that the X, N, Y, the fourth preset value, and the fifth preset value are not specifically limited in the present invention, and may be reasonably set according to actual needs.
  • the method further includes:
  • Step S610 if the sum of the difference values between the capacitance values acquired in all the adjacent two periods is less than or equal to the fifth predetermined value, reducing the number of times of wearing detection to the fourth preset value, and simultaneously The number of data stabilization times is cleared.
  • the number of times of wearing the detection N is decreased by the fourth preset value, such as 1, and the data is simultaneously The number of stable times is cleared.
  • the specific value of the N reduction is not limited to being equal to the fourth preset value, and may be unequal in other embodiments.
  • step S602 further includes:
  • Step S611 Acquire a temperature value that is in contact with the skin of the user in real time. When the number of times of wearing the detection meets the predetermined number of times and the change trend of the temperature value is from falling to stable, determining that the smart wearable device is in an unworn state.
  • the wear status of the smart wearable device can be determined in conjunction with the change in the value of the temperature.
  • the smart wearable device is provided with a temperature sensor, which can detect the temperature of the human skin in real time or time. When the change trend of the temperature is detected to decrease to a temperature value within a predetermined number of wear detection times, It can be determined to be in a wearing state.
  • the method further includes:
  • Step S80 If the difference does not satisfy the second preset range, determine that the smart wearable device is in a wearing state.
  • the smart wearable device can detect the parameters such as the body surface temperature and the heart rate of the user in real time or at a time, when the user enters the room, if the smart wearable device is judged to be wearing, the body surface temperature of the user can be accurately obtained and passed through the smart
  • the wearable device is directly sent to the smart home such as an air conditioner or forwarded to the air conditioner by the mobile terminal, thereby automatically adjusting to the temperature, humidity, etc. that the user feels comfortable; if the smart wearable device is judged to be unworn, the user may be prompted to be in a preset time.
  • the smart wearable device is worn, if it is determined that the wearable state is exceeded for a predetermined period of time, the indoor environment temperature is automatically acquired by the air conditioner, and a normal air-conditioning control program is performed.
  • the user's heart rate parameter can be accurately obtained and sent directly to the smart home such as an air conditioner or forwarded to the air conditioner by the mobile terminal through the smart wearable device, thereby automatically adjusting to The user feels comfortable temperature, humidity, etc.; if it is judged that the smart wearable device is not worn, the user may be prompted to wear the smart wearable device in a preset time, and when it is determined that the wearable state is exceeded, the sleep is automatically performed. mode.
  • the present invention also provides a detecting device 1.
  • the specific embodiment is the same as above, and details are not described herein again.

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Abstract

一种智能穿戴设备的穿戴状态检测方法，包括以下步骤：智能穿戴设备获取未佩戴参考值（S10）；每隔预定时间读取一个周期内所述智能穿戴设备与用户皮肤之间接触产生的接触容值，并计算所述接触容值与所述未佩戴参考值之间的差值(S20)；若在预定佩戴检测次数内所述差值均满足第一预设范围，则判定所述智能穿戴设备处于佩戴状态(S30)。还提供了一种检测装置，该检测方法和检测装置可准确检测智能穿戴设备的穿戴状态，从而提供精确的检测数据，以提高用户体验。

Description

智能穿戴设备的穿戴状态检测方法及检测装置
技术领域
本发明涉及电子控制技术领域，尤其涉及一种智能穿戴设备的穿戴状态检测方法及检测装置。
背景技术
现有的智能穿戴设备如智能手表、智能手环等，在执行计步和睡眠等检测功能时，若用户佩戴该智能穿戴设备过于松弛时，则可能无法判断用户是否带上智能穿戴设备，进而会误认为用户处于久坐或深度睡眠的状态，从而导致监测的数据错误。
发明内容
本发明的主要目的在于提供一种智能穿戴设备的穿戴状态检测方法及检测装置，旨在准确检测智能穿戴设备的穿戴状态，从而提供精确的检测数据，以提高用户体验。
为实现上述目的，本发明提供一种智能穿戴设备的穿戴状态检测方法，包括以下步骤：
获取智能穿戴设备的未佩戴参考值；
每隔预定时间读取一个周期内所述智能穿戴设备与用户皮肤之间接触产生的接触容值，并计算所述接触容值与所述未佩戴参考值之间的差值；
若在预定佩戴检测次数内所述差值均满足第一预设范围，则判定所述智能穿戴设备处于佩戴状态。
为实现上述目的，本发明还提供一种检测装置，所述检测装置包括：
获取模块，用于获取智能穿戴设备的未佩戴参考值；
计算模块，用于每隔预定时间读取一个周期内所述智能穿戴设备与用户皮肤之间接触产生的接触容值，并计算所述接触容值与所述未佩戴参考值之间的差值；
判定模块，用于若在预定佩戴检测次数内所述差值均满足第一预设范围，则判定所述智能穿戴设备处于佩戴状态。
本发明提供的智能穿戴设备的穿戴状态检测方法及检测装置，通过每隔预定时间读取一个周期内所述智能穿戴设备与用户皮肤之间接触产生的接触容值，并计算所述接触容值与未佩戴参考值之间的差值，若在预定佩戴检测次数内所述差值均满足第一预设范围，则判定所述智能穿戴设备处于佩戴状态。基于佩戴状态检测的接触容值比未佩戴状态检测的接触容值较高，且接触容值的变化更明显，因此，本发明通过检测的接触容值与未佩戴参考值进行比较，可以准确检测智能穿戴设备的穿戴状态，从而提供精确的检测数据，以提高用户体验。
附图说明
图1为本发明智能穿戴设备的穿戴状态检测方法第一实施例的流程示意图；
图2为图1中步骤智能穿戴设备获取未佩戴参考值的细化流程示意图；
图3为图1中步骤若在预定佩戴检测次数内所述差值均满足预设范围，则判定所述智能穿戴设备处于佩戴状态第一实施例的细化流程示意图；
图4为图1中步骤若在预定佩戴检测次数内所述差值均满足预设范围，则判定所述智能穿戴设备处于佩戴状态第二实施例的细化流程示意图；
图5为本发明智能穿戴设备的穿戴状态检测方法第二实施例的流程示意图；
图6为本发明智能穿戴设备的穿戴状态检测方法第三实施例的流程示意图；
图7为图6中步骤若所述差值满足第二预设范围，则判定所述智能穿戴设备处于未佩戴状态第一实施例的细化流程示意图；
图8为图6中步骤若所述差值满足第二预设范围，则判定所述智能穿戴设备处于未佩戴状态第二实施例的细化流程示意图；
图9为本发明智能穿戴设备的穿戴状态检测方法第四实施例的流程示意图；
图10为图6中步骤若所述差值满足第二预设范围，则判定所述智能穿戴设备处于未佩戴状态第三实施例的细化流程示意图；
图11为图6中步骤若所述差值满足第二预设范围，则判定所述智能穿戴设备处于未佩戴状态第四实施例的细化流程示意图；
图12为图6中步骤若所述差值满足第二预设范围，则判定所述智能穿戴设备处于未佩戴状态第五实施例的细化流程示意图；
图13为为本发明智能穿戴设备的穿戴状态检测方法第五实施例的流程示意图；
图14为本发明检测装置第一实施例的功能模块示意图；
图15为图14中获取模块的细化功能模块示意图；
图16为图14中判定模块第一实施例的细化功能模块示意图；
图17为图14中判定模块第二实施例的细化功能模块示意图；
图18为图17中判定单元第一实施例的细化功能模块示意图；
图19为图17中判定单元第二实施例的细化功能模块示意图；
图20为图17中判定单元第三实施例的细化功能模块示意图。
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
本发明提供一种智能穿戴设备的穿戴状态检测方法，通过每隔预定时间读取一个周期内所述智能穿戴设备与用户皮肤之间接触产生的接触容值，并计算所述接触容值与未佩戴参考值之间的差值，因此，可以根据差值是否在预定佩戴检测次数内均满足第一预设范围，来判定所述智能穿戴设备的穿戴状态如佩戴或未佩戴状态。基于佩戴状态检测的接触容值比未佩戴状态检测的接触容值较高，且接触容值的变化更明显，因此，本发明通过检测的接触容值与未佩戴参考值进行比较，可以准确检测智能穿戴设备的穿戴状态，从而提供精确的检测数据，以提高用户体验。
参照图1，在一实施例中，所述智能穿戴设备的穿戴状态检测方法包括以下步骤：
步骤S10、获取智能穿戴设备的未佩戴参考值；
本实施例中，所述智能穿戴设备可以为智能手环、智能手表等，具有步数、睡眠、心率、体温、光照、环境噪声、饮食等多种检测功能，并可与移动终端如手机、平板电脑等设备、智能家居如空调等进行无线连接。因此，本发明可以由智能穿戴设备来直接执行对应的检测程序，也可以由移动终端来获取由智能穿戴设备检测的各种容值，进而控制检测程序。
在一具体实施例中，参照图2，所述步骤S10包括：
步骤S101，在所述智能穿戴设备开机后，进行初始化；
本实施例中，当启动智能穿戴设备开机后，智能穿戴设备在开机预定时间如15s后会自动进入初始化程序，以获取未佩戴参考值。
步骤S102，待初始化完成，读取首个周期内的接触容值，并将所述接触容值作为未佩戴参考值。
本实施例中，一个周期会读取3次用户皮肤与所述智能穿戴设备之间接触产生的容值，并将3次获取的容值进行加和运算得到接触容值。当然，本发明并不限定一个周期内的容值的读取次数，在其他实施例中，可以根据实际需要合理设置次数。
本优选实施例中，在智能穿戴设备完成初始化后，读取首个周期内的接触容值，并将该接触容值作为用户没有佩戴智能穿戴设备的未佩戴参考值，如4850±100。
步骤S20、每隔预定时间读取一个周期内的用户皮肤与所述智能穿戴设备之间接触产生的接触容值，并计算所述接触容值与所述未佩戴参考值之间的差值；
本实施例中，在获取到未佩戴参考值后，可以每隔10s读取一个周期内的用户皮肤与所述智能穿戴设备之间接触产生的接触容值，并计算读取的接触容值与未佩戴参考值之间的差值，根据差值的大小范围来确定智能穿戴设备的穿戴状态，如佩戴状态或未佩戴状态。
步骤S30、若在预定佩戴检测次数内所述差值均满足第一预设范围，则判定所述智能穿戴设备处于佩戴状态。
本优选实施例中，预定佩戴次数可以设定为20次等，具体不作限定；而差值Ｍ满足的预设范围可以是：差值Ｍ＞800或300＜Ｍ≤800，当然具体数值范围并不局限于本实施例。
本发明提供的智能穿戴设备的穿戴状态检测方法，通过每隔预定时间读取一个周期内所述智能穿戴设备与用户皮肤之间接触产生的接触容值，并计算所述接触容值与未佩戴参考值之间的差值，若在预定佩戴检测次数内所述差值均满足第一预设范围，来判定所述智能穿戴设备的穿戴状态如佩戴或未佩戴状态。基于佩戴状态检测的接触容值比未佩戴状态检测的接触容值较高，且接触容值的变化更明显，因此，本发明通过检测的接触容值与未佩戴参考值进行比较，可以准确检测智能穿戴设备的穿戴状态，从而提供精确的检测数据，以提高用户体验。
在第一实施例中，如图3所示，在上述图1或图2所示的基础上，所述步骤S30包括：
步骤S301，判断所述差值是否大于第一预定值；
步骤S302，若所述差值大于所述第一预定值，则将佩戴检测次数增加第一预设值，并记录当前佩戴值；
本实施例中，判断差值是否大于所述第一预定值，若满足该条件，即Ｍ＞800时，则可以判定当前智能穿戴设备的状态为紧带，此时，将佩戴检测次数Ｎ增加第一预定值如5：N+5，并记录当前佩戴值。
步骤S303，当佩戴检测次数超过预定次数时，则判定所述智能穿戴设备处于佩戴状态。
本实施例中，当佩戴检测次数N+5超过预定次数如20时，则判定智能穿戴设备处于佩戴状态。应当理解的是，若佩戴检测次数增加达到30后，则无需再增加佩戴检测次数。本实施例中的具体数值仅用于帮助理解本发明，并不作具体限定作用。
在第二实施例中，如图4所示，在上述图3所示的基础上，所述步骤S301之后还包括：
步骤S304，若所述差值小于或等于所述第一预定值，则判断所述差值是否大于第二预定值；
步骤S305，若所述差值大于所述第二预定值，且小于或等于所述第一预定值，则判定当前状态为松带，同时将佩戴检测次数增加第二预设值，并记录当前佩戴值；
本实施例中，当判定Ｍ≤800时，则进一步判定差值M是否大于第二预定值，即判断M是否满足以下条件：300＜Ｍ≤800，若满足该条件，则判定智能穿戴设备当前状态为松带，此时，将佩戴检测次数Ｎ增加第二预定值如4：N+4，并记录当前佩戴值。其中，所述第二预设值小于所述第一预设值。这样，在紧带状态下，可以加快佩戴检测。
步骤S306，当佩戴检测次数超过预定次数时，则判定所述智能穿戴设备处于佩戴状态。
本优选实施例中，当佩戴检测次数N超过预定次数如20时，则表明在预定佩戴检测次数内所述差值均满足预设范围，则可以判定智能穿戴设备处于佩戴状态。
本实施例中，由于可以根据差值的大小范围，具体判定智能穿戴设备如手环是紧带还是松带状态，因此，可以在手环处于松带状态时，以亮灯显示、语音提示或振动提醒等方式来提醒用户手环处于松带状态，为提高手环的检测准确度，应及时戴紧手环；还可以通过移动终端来提醒用户及时戴紧手环。
在一实施例中，如图5所示，在上述图1所示的基础上，所述步骤S20之后还包括：
S40，若佩戴检测次数不满足预定次数或所述差值不满足所述预设范围，则判定所述智能穿戴设备处于未佩戴状态。
本实施例中，当佩戴检测次数N＜20，或M≤300时，则可以判定智能穿戴设备处于未佩戴。也即只要佩戴检测次数或差值的大小范围，任一不满足预设条件时，即判定智能穿戴设备处于未佩戴状态。
以下结合具体场景来进行说明：
由于智能穿戴设备可以实时或定时检测用户的体表温度、心率等参数，这样，当用户进入室内时，若判断智能穿戴设备为佩戴状态，则可以准确地获取用户的体表温度，并通过智能穿戴设备直接发送至智能家居如空调或由移动终端转发至空调，从而自动调整到用户感觉舒适的温度、湿度等；若判断智能穿戴设备为未佩戴状态，则可以提示用户在预设时间内及时佩戴智能穿戴设备，当超过预定时间，仍然判断为未佩戴状态，则自动由空调获取室内环境温度，进行正常的空调控制程序。
当用户在卧室睡觉时，若判断智能穿戴设备为佩戴状态，则可以准确地获取用户的心率参数，并通过智能穿戴设备直接发送至智能家居如空调或由移动终端转发至空调，从而自动调整到用户感觉舒适的温度、湿度等；若判断智能穿戴设备为未佩戴状态，则可以提示用户在预设时间内及时佩戴智能穿戴设备，当超过预定时间，仍然判断为未佩戴状态，则自动进行睡眠模式。
在一实施例中，如图6所示，在上述图1所示的基础上，所述步骤S20之后还包括：
步骤S50、若所述差值不满足第一预设范围，则获取当前周期内智能穿戴设备与用户皮肤接触产生的接触容值，并计算上一周期的接触容值与所述当前周期内的接触容值之间的差值；
本实施例中，所述智能穿戴设备可以为智能手环、智能手表等，具有步数、睡眠、心率、体温、光照、环境噪声、饮食等多种检测功能，并可与移动终端如手机、平板电脑等设备、智能家居如空调等进行无线连接。因此，本发明可以由智能穿戴设备来直接执行对应的检测程序，也可以由移动终端来获取由智能穿戴设备检测的各种容值，进而控制检测程序。
本实施例中，一个周期会读取3次用户皮肤与所述智能穿戴设备之间接触产生的容值，并将3次获取的容值进行加和运算得到接触容值。当然，本发明并不限定一个周期内的容值的读取次数，在其他实施例中，可以根据实际需要合理设置次数。其中，当前周期与上一周期的间隔时间可以根据实际需要合理设置，本实施例中，以10s为例进行说明。
步骤S60、若所述差值满足第二预设范围，则判定所述智能穿戴设备处于未佩戴状态。
本实施例中，上一周期的接触容值与所述当前周期内的接触容值之间的差值M满足的第二预设范围可以是：差值Ｍ＞800或300＜Ｍ≤800，当然具体数值范围并不局限于本实施例。
当智能穿戴设备如手环判定穿戴状态为未佩戴状态时，可以亮灯显示、语音提示或振动提醒等方式来提醒用户及时佩戴或紧带手环，以提高手环的检测准确度。还可以通过移动终端来提醒用户及时戴紧手环。
这样，通过获取当前周期内智能穿戴设备与用户皮肤接触产生的接触容值，并计算上一周期的接触容值与所述当前周期内的接触容值之间的差值，若所述差值满足第二预设范围，则判定所述智能穿戴设备处于未佩戴状态。这样，可以准确检测智能穿戴设备的穿戴状态，从而提供精确的检测数据，以提高用户体验。
在一实施例中，如图7所示，在上述图6所示的基础上，所述步骤S60包括：
步骤S601、判断所述差值是否大于第三预定值；
步骤S602、若所述差值大于所述第三预定值，则将佩戴检测次数减少第三预设值，并更新未佩戴参考值；
本实施例中，判断差值是否大于所述第三预定值，若满足该条件，即Ｍ＞800时，则将佩戴检测次数N减少第三预设值如4，并更新未佩戴参考值。
应当理解的是，当佩戴检测次数N减少第三预设值所得值为负数时，则直接对N进行清零处理。
步骤S603、当佩戴检测次数满足预定次数范围且数据稳定次数满足预设默认值时，则判定所述智能穿戴设备处于未佩戴状态。
本实施例中，当佩戴检测次数N小于预定次数如10，且数据稳定次数Y大于预设默认值如20，则判定智能穿戴设备处于未佩戴状态。应当理解的是，预定次数范围以及预设默认值并不仅限于本实施例，在其他实施例中，可以根据实际需要合理设置。
在一具体实施例中，更新未佩戴参考值的具体步骤如下：
如图8所示，在上述图7所示的基础上，所述步骤S602之前还包括：
步骤S604、根据最近预定周期内的接触容值，统计出最小值；
本实施例中，统计最近10个周期内的接触容值，并从中获取最小接触容值。可以理解的是，预定周期的数量并不局限于此处列举的10个，在其他实施例中，还可根据实际情况合理设置。
步骤S605、在当前周期内的接触容值小于第四预定值时，将所述当前周期内的接触容值作为未佩戴参考值；
本实施例中，在当前周期内的接触容值小于所述第四预定值如300时，则将当前周期内的接触容值作为未佩戴参考值。
步骤S606、在当前周期内的接触容值大于或等于所述第四预定值时，将所述最小值作为未佩戴参考值。
本实施例中，在当前周期内的接触容值大于或等于300时，则将从最近10个周期中统计的最小接触容值作为未佩戴参考值。其中，第四预定值的具体取值仅用于帮助理解，并不作具体限定作用。
在一实施例中，如图9所示，在上述图6所示的基础上，所述步骤S50之前还包括：
步骤S70、获取最近预定周期内的接触容值，并计算所有相邻两周期获取的容值之间的差值的和。
本实施例中，最近预定周期可以取最近10个周期的采集的接触容值，并对所有相邻两周期获取的容值之间的差值进行取和运算，以得出在预定周期内的接触容值变化情况。根据计算得到的所有相邻两周期获取的容值之间的差值的和的大小，可以代表数据稳定性。当然，在其他实施例中，并不仅限于对所有相邻两周期进行容值差值的计算，还可以间隔或对所有两周期进行两两取差值计算，本发明并不对此作具体限定，可以根据实际需要合理选择。
在一实施例中，如图10所示，在上述图7或图8所示的基础上，所述步骤S601之后还包括：
步骤S607、若所述差值小于或等于所述第三预定值，则进一步判断所述差值是否大于第四预定值；
步骤S608、若所述差值大于所述第四预定值，且小于或等于所述第三预定值，则进一步比较所述所有相邻两周期获取的容值之间的差值的和与第五预定值之间的大小；
本实施例中，若Ｍ≤800时，则进一步判断M是否大于第四预定值如300，也即判断M是否满足以下条件：300＜Ｍ≤800，若满足该条件，则比较所述所有相邻两周期获取的容值之间的差值的和X与第五预定值如50之间的大小。
步骤S609、若所述所有相邻两周期获取的容值之间的差值的和大于所述第五预定值，则将佩戴检测次数增加第四预设值，同时将所述数据稳定次数增加第五预设值。
本实施例中，若所述所有相邻两周期获取的容值之间的差值的和X＞50，则将佩戴检测次数N增加第四预设值如1，同时将所述数据稳定次数Y增加第三预设值如1。应当理解的是，X、N、Y、第四预设值以及第五预设值，本发明并不作具体限定，可以根据实际需要合理设置。
在一实施例中，如图11所示，在上述图10所示的基础上，所述步骤S608之后还包括：
步骤S610、若所述所有相邻两周期获取的容值之间的差值的和小于或等于所述第五预定值，则将佩戴检测次数减少所述第四预设值，同时将所述数据稳定次数清零。
本实施例中，若所述所有相邻两周期获取的容值之间的差值的和X≤50，则将佩戴检测次数N减少所述第四预设值如1，同时将所述数据稳定次数清零。应当理解的是，本实施例中，所述N减少的具体数值并不限于于与第四预设值相等，在其他实施例中，可以不等。
在一实施例中，如图12所示，在上述图11所示的基础上，所述步骤S602之后还包括：
步骤S611、实时获取与用户皮肤接触的温度值，当佩戴检测次数满足预定次数范围且所述温度值的变化趋势为从下降到稳定时，则判定所述智能穿戴设备处于未佩戴状态。
本实施例中，由于用户从佩戴智能穿戴设备到取下的过程中，温度变化比较明显，因此，可以结合温度的取值变化来判定所述智能穿戴设备的穿戴状态。可以理解的是，所述智能穿戴设备上设置有温度传感器，可以实时或定时检测人体皮肤的温度，当在预定佩戴检测次数内，检测到温度的变化趋势由下降到一个温度值的过程，则可以判定为为佩戴状态。
在一实施例中，如图13所示，在上述图1所示的基础上，所述步骤S50之后还包括：
步骤S80、若所述差值不满足所述第二预设范围，则判定所述智能穿戴设备处于佩戴状态。
本实施例中，当M≤300时，则可以判定智能穿戴设备处于佩戴。本实施例中的具体数值仅用于帮助理解本发明，并不作具体限定作用。
以下结合具体场景来进行说明：
由于智能穿戴设备可以实时或定时检测用户的体表温度、心率等参数，这样，当用户进入室内时，若判断智能穿戴设备为佩戴状态，则可以准确地获取用户的体表温度，并通过智能穿戴设备直接发送至智能家居如空调或由移动终端转发至空调，从而自动调整到用户感觉舒适的温度、湿度等；若判断智能穿戴设备为未佩戴状态，则可以提示用户在预设时间内及时佩戴智能穿戴设备，当超过预定时间，仍然判断为未佩戴状态，则自动由空调获取室内环境温度，进行正常的空调控制程序。
当用户在卧室睡觉时，若判断智能穿戴设备为佩戴状态，则可以准确地获取用户的心率参数，并通过智能穿戴设备直接发送至智能家居如空调或由移动终端转发至空调，从而自动调整到用户感觉舒适的温度、湿度等；若判断智能穿戴设备为未佩戴状态，则可以提示用户在预设时间内及时佩戴智能穿戴设备，当超过预定时间，仍然判断为未佩戴状态，则自动进行睡眠模式。
本发明还提供一种检测装置1，具体实施例同上，此处不再赘述。
以上仅为本发明的优选实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。

Claims (22)

  1. 一种智能穿戴设备的穿戴状态检测方法，其特征在于，所述智能穿戴设备的穿戴状态检测方法包括以下步骤：
    获取智能穿戴设备的未佩戴参考值；
    每隔预定时间读取一个周期内所述智能穿戴设备与用户皮肤之间接触产生的接触容值，并计算所述接触容值与所述未佩戴参考值之间的差值；
    若在预定佩戴检测次数内所述差值均满足第一预设范围，则判定所述智能穿戴设备处于佩戴状态。
  2. 如权利要求1所述的智能穿戴设备的穿戴状态检测方法，其特征在于，所述获取智能穿戴设备的未佩戴参考值的步骤包括：
    在所述智能穿戴设备开机后，进行初始化；
    待初始化完成，读取首个周期内的接触容值，并将所述接触容值作为未佩戴参考值。
  3. 如权利要求1或2所述的智能穿戴设备的穿戴状态检测方法，其特征在于，所述若在预定佩戴检测次数内所述差值均满足第一预设范围，则判定所述智能穿戴设备处于佩戴状态的步骤包括：
    判断所述差值是否大于第一预定值；
    若所述差值大于所述第一预定值，则将佩戴检测次数增加第一预设值，并记录当前佩戴值；
    当佩戴检测次数超过预定次数时，则判定所述智能穿戴设备处于佩戴状态。
  4. 如权利要求3所述的智能穿戴设备的穿戴状态检测方法，其特征在于，所述判断所述差值是否大于第一预定值的步骤之后还包括：
    若所述差值小于或等于所述第一预定值，则判断所述差值是否大于第二预定值；
    若所述差值大于所述第二预定值，且小于或等于所述第一预定值，则将佩戴检测次数增加第二预设值，并记录当前佩戴值；
    当佩戴检测次数超过预定次数时，则判定所述智能穿戴设备处于佩戴状态，其中，所述第二预设值小于所述第一预设值。
  5. 如权利要求1所述的智能穿戴设备的穿戴状态检测方法，其特征在于，所述每隔预定时间读取一个周期内所述智能穿戴设备与用户皮肤之间接触产生的接触容值，并计算所述接触容值与所述未佩戴参考值之间的差值的步骤之后还包括：
    若所述差值不满足第一预设范围，则获取当前周期内智能穿戴设备与用户皮肤接触产生的接触容值，并计算上一周期的接触容值与所述当前周期内的接触容值之间的差值；
    若所述差值满足第二预设范围，则判定所述智能穿戴设备处于未佩戴状态。
  6. 如权利要求 5所述的智能穿戴设备的穿戴状态检测方法，其特征在于，所述若所述差值满足第二预设范围，则判定所述智能穿戴设备处于未佩戴状态的步骤包括：
    判断所述差值是否大于第三预定值；
    若所述差值大于所述第三预定值，则将佩戴检测次数减少第三预设值，并更新未佩戴参考值；
    当佩戴检测次数满足预定次数范围且数据稳定次数满足预设默认值时，则判定所述智能穿戴设备处于未佩戴状态。
  7. 如权利要求6所述的智能穿戴设备的穿戴状态检测方法，其特征在于，所述若所述差值大于所述第三预定值，则将佩戴检测次数减少第三预设值，并更新未佩戴参考值的步骤之前还包括：
    根据最近预定周期内的接触容值，统计出最小值；
    在当前周期内的接触容值小于第四预定值时，将所述当前周期内的接触容值作为未佩戴参考值；
    在当前周期内的接触容值大于或等于所述第四预定值时，将所述最小值作为未佩戴参考值。
  8. 如权利要求6所述的智能穿戴设备的穿戴状态检测方法，其特征在于，所述获取当前周期内智能穿戴设备与用户皮肤接触产生的接触容值，并计算上一周期的接触容值与所述当前周期内的接触容值之间的差值的步骤之前还包括：
    获取最近预定周期内的接触容值，并计算所有相邻两周期获取的容值之间的差值的和。
  9. 如权利要求8所述的智能穿戴设备的穿戴状态检测方法，其特征在于，所述判断所述差值是否大于第三预定值的步骤之后还包括：
    若所述差值小于或等于所述第三预定值，则进一步判断所述差值是否大于第四预定值；
    若所述差值大于所述第四预定值，且小于或等于所述第三预定值，则进一步比较所述所有相邻两周期获取的容值之间的差值的和与第五预定值之间的大小；
    若所述所有相邻两周期获取的容值之间的差值的和大于所述第五预定值，则将佩戴检测次数增加第四预设值，同时将所述数据稳定次数增加第五预设值。
  10. 如权利要求9所述的智能穿戴设备的穿戴状态检测方法，其特征在于，所述若所述差值大于所述第四预定值，且小于或等于所述第三预定值，则进一步比较所述所有相邻两周期获取的容值之间的差值的和与第五预定值之间的大小的步骤之后还包括：
    若所述所有相邻两周期获取的容值之间的差值的和小于或等于所述第五预定值，则将佩戴检测次数减少所述第四预设值，同时将所述数据稳定次数清零。
  11. 如权利要求6所述的智能穿戴设备的穿戴状态检测方法，其特征在于，所述若所述差值大于所述第三预定值，则将佩戴检测次数减少第三预设值，并更新未佩戴参考值的步骤之后还包括：
    实时获取与用户皮肤接触的温度值，当佩戴检测次数满足预定次数范围且所述温度值的变化趋势为从下降到稳定时，则判定所述智能穿戴设备处于未佩戴状态。
  12. 一种检测装置，其特征在于，所述检测装置包括：
    获取模块，用于获取智能穿戴设备的未佩戴参考值；
    计算模块，用于每隔预定时间读取一个周期内所述智能穿戴设备与用户皮肤之间接触产生的接触容值，并计算所述接触容值与所述未佩戴参考值之间的差值；
    判定模块，用于若在预定佩戴检测次数内所述差值均满足第一预设范围，则判定所述智能穿戴设备处于佩戴状态。
  13. 如权利要求12所述的检测装置，其特征在于，所述获取模块包括：
    初始化单元，用于在所述智能穿戴设备开机后，进行初始化；
    读取单元，用于待初始化完成，读取首个周期内的接触容值，并将所述接触容值作为未佩戴参考值。
  14. 如权利要求12或13所述的检测装置，其特征在于，所述判定模块包括：
    判断单元，用于判断所述差值是否大于第一预定值；
    判定单元，用于若所述差值大于所述第一预定值，则将佩戴检测次数增加第一预设值，并记录当前佩戴值；
    所述判定单元，还用于当佩戴检测次数超过预定次数时，则判定所述智能穿戴设备处于佩戴状态。
  15. 如权利要求14所述的检测装置，其特征在于，所述判断单元，还用于若所述差值小于或等于所述第一预定值，则判断所述差值是否大于第二预定值；
    所述判定单元，还用于若所述差值大于所述第二预定值，且小于或等于所述第一预定值，则判定当前状态为松带，同时将佩戴检测次数增加第二预设值，并记录当前佩戴值；
    所述判定单元，还用于当佩戴检测次数超过预定次数时，则判定所述智能穿戴设备处于佩戴状态，其中，所述第二预设值小于所述第一预设值。
  16. 如权利要求12所述的检测装置，其特征在于，所述判定模块还包括：
    计算单元，用于若所述差值不满足第一预设范围，则获取当前周期内智能穿戴设备与用户皮肤接触产生的接触容值，并计算上一周期的接触容值与所述当前周期内的接触容值之间的差值；
    所述判定单元，还用于若所述差值满足第二预设范围，则判定所述智能穿戴设备处于未佩戴状态。
  17. 如权利要求16所述的检测装置，其特征在于，所述判定单元包括：
    判断子单元，用于判断所述差值是否大于第三预定值；
    更新子单元，用于若所述差值大于所述第三预定值，则将佩戴检测次数减少第三预设值，并更新未佩戴参考值；
    判定子单元，用于当佩戴检测次数满足预定次数范围且数据稳定次数满足预设默认值时，则判定所述智能穿戴设备处于未佩戴状态。
  18. 如权利要求17所述的检测装置，其特征在于，所述判定单元还包括：
    统计子单元，用于根据最近预定周期内的接触容值，统计出最小值；
    处理子单元，用于在当前周期内的接触容值小于第四预定值时，将所述当前周期内的接触容值作为未佩戴参考值；
    所述处理子单元，还用于在当前周期内的接触容值大于或等于所述第四预定值时，将所述最小值作为未佩戴参考值。
  19. 如权利要求17所述的检测装置，其特征在于，所述判定单元还包括：
    计算子单元，用于获取最近预定周期内的接触容值，并计算所有相邻两周期获取的容值之间的差值的和。
  20. 如权利要求19所述的检测装置，其特征在于，所述判断子单元，还用于若所述差值小于或等于所述第三预定值，则进一步判断所述差值是否大于第四预定值；
    所述处理子单元，还用于若所述差值大于所述第四预定值，且小于或等于所述第三预定值，则进一步比较所述所有相邻两周期获取的容值之间的差值的和与第五预定值之间的大小；
    所述处理子单元，还用于若所述所有相邻两周期获取的容值之间的差值的和大于所述第五预定值，则将佩戴检测次数增加第四预设值，同时将所述数据稳定次数增加第五预设值。
  21. 如权利要求20所述的检测装置，其特征在于，所述处理子单元，还用于：
    若所述所有相邻两周期获取的容值之间的差值的和小于或等于所述第五预定值，则将佩戴检测次数减少所述第四预设值，同时将所述数据稳定次数清零。
  22. 如权利要求17所述的检测装置，其特征在于，所述判定子单元，还用于：
    实时获取与用户皮肤接触的温度值，当佩戴检测次数满足预定次数范围且所述温度值的变化趋势为从下降到稳定时，则判定所述智能穿戴设备处于未佩戴状态。
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