WO2016109917A1 - 一种可穿戴设备的检测方法及可穿戴设备 - Google Patents

一种可穿戴设备的检测方法及可穿戴设备 Download PDF

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Publication number
WO2016109917A1
WO2016109917A1 PCT/CN2015/070088 CN2015070088W WO2016109917A1 WO 2016109917 A1 WO2016109917 A1 WO 2016109917A1 CN 2015070088 W CN2015070088 W CN 2015070088W WO 2016109917 A1 WO2016109917 A1 WO 2016109917A1
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Prior art keywords
user
value
wearable device
distance
preset
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PCT/CN2015/070088
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English (en)
French (fr)
Inventor
李良
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华为技术有限公司
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Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to PCT/CN2015/070088 priority Critical patent/WO2016109917A1/zh
Priority to CN201580038647.6A priority patent/CN106572728A/zh
Priority to US15/541,454 priority patent/US20180014785A1/en
Priority to EP15876428.2A priority patent/EP3228207B1/en
Publication of WO2016109917A1 publication Critical patent/WO2016109917A1/zh

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements 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
    • A61B5/6844Monitoring or controlling distance between sensor and tissue
    • AHUMAN NECESSITIES
    • A44HABERDASHERY; JEWELLERY
    • A44CPERSONAL ADORNMENTS, e.g. JEWELLERY; COINS
    • A44C5/00Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/026Measuring blood flow
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/01Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055Simultaneously evaluating both cardiovascular condition and temperature
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021Measuring pressure in heart or blood vessels
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements 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
    • A61B5/6802Sensor mounted on worn items
    • A61B5/6803Head-worn items, e.g. helmets, masks, headphones or goggles
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements 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
    • A61B5/6802Sensor mounted on worn items
    • A61B5/681Wristwatch-type devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality

Definitions

  • the present invention relates to the field of communications, and in particular, to a method for detecting a wearable device and a wearable device.
  • a wearable device is a portable device that is worn directly on the body or integrated into the user's clothing and accessories.
  • a wearable device is a hardware device that implements multiple functions through software support, data interaction, and cloud interaction.
  • the prior art mainly uses a capacitive sensor for detection, but when a capacitive sensor is used, the capacitive sensor when the metal object approaches the capacitive sensor Failure, the detection accuracy is low. If it is impossible to accurately determine whether the wearable device has been worn on the user, if other objects are close to each other and the detection result is inaccurate, it is difficult to use the wearable device normally, which causes great inconvenience to the user.
  • An embodiment of the present invention provides a wearable device detecting method and a wearable device, which can accurately determine whether a user wears a wearable device by simultaneously detecting a value of a distance between the wearable device and the user and a physical characteristic value of the user.
  • an embodiment of the present invention provides a method for detecting a wearable device, including:
  • the method further includes:
  • the method further includes:
  • the physical characteristic value of the user includes one or more of a body temperature value, a heart rate value, a blood sugar level, a blood pressure value, and a blood flow rate value.
  • the value of the distance between the wearable device and the user is obtained by a distance sensor.
  • the physical feature value of the user is acquired by a human body feature sensor.
  • the embodiment of the present invention further provides a wearable device, including: a distance sensor, a human body sensor, and a processor, where
  • the distance sensor is configured to detect a value of a distance between the wearable device and the user
  • the human body characteristic sensor is configured to detect a physical feature value of the user
  • the processor is configured to determine whether a value of a distance between the wearable device and the user is less than or equal to a preset distance threshold, and determine whether the physical feature value of the user exceeds a preset physical feature value of the user a threshold range, if the value of the distance between the wearable device and the user is less than or equal to a preset distance threshold, and the physical feature value of the user does not exceed the preset physical feature value of the user
  • the threshold determines that the wearable device has been worn by the user.
  • the method further includes:
  • the method further includes:
  • the physical characteristic value of the user includes one or more of a body temperature value, a heart rate value, a blood sugar level, a blood pressure value, and a blood flow rate value.
  • the wearable device detecting method and the wearable device of the embodiment of the present invention simultaneously detect the value of the distance between the wearable device and the user and the physical characteristic value of the user, the value of the distance between the wearable device and the user, and the user's When the two values of the physical characteristic values do not exceed the preset threshold range, it can be determined that the user has worn the wearable device.
  • the embodiment of the present invention determines whether the user wears the wearable device, and does not The accuracy of the judgment is affected by changes in external conditions, for example, metal or other objects are close to each other, and at the same time, it is also possible to more accurately distinguish whether the human body or other objects wear the wearable device by the human body characteristic value. Therefore, the embodiment of the present invention can accurately determine Whether the user wears a wearable device and the detection success rate is high.
  • FIG. 1 is a schematic structural diagram of a smart watch according to an embodiment of the present invention.
  • FIG. 2 is a schematic structural view of a smart glasses according to an embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of a smart wristband according to an embodiment of the present invention.
  • FIG. 4 is a schematic flowchart of a method for detecting a wearable device according to a first embodiment of the present invention
  • FIG. 5 is a schematic flowchart of a method for detecting a wearable device according to a second embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of a wearable device according to an embodiment of the present invention.
  • the wearable device described in the embodiments of the present invention may include: a smart watch, a smart bracelet, a smart ring, smart glasses, etc., and the above wearable device is only an example. Rather than exhaustive, including but not limited to the wearable devices described above.
  • FIG. 4 is a schematic flowchart of a method for detecting a wearable device according to a first embodiment of the present invention, which specifically includes the following steps:
  • the wearable device detects a value of a distance between the wearable device and the user.
  • the wearable device detects the value of the distance between the wearable device and the user through the distance sensor, and determines whether the user wears the wearable device by using the value of the distance between the wearable device and the user.
  • the sensor includes: a proximity sensor, a linear proximity sensor, an ultrasonic displacement sensor, and the like.
  • the wearable device detects a physical characteristic value of the user.
  • the wearable device acquires a physical characteristic value of the user by using a human body characteristic sensor, and the physical characteristic value of the user includes one or more of a body temperature value, a heart rate value, a blood sugar level, a blood pressure value, and a blood flow rate value.
  • the wearable device acquires the user's body temperature value through a temperature sensor in the human body characteristic sensor, or acquires the user's heart rate value through the heart rate sensor in the human body characteristic sensor, or obtains the user's blood flow rate value through the human body characteristic sensor, of course,
  • body characteristic values such as blood glucose levels and blood pressure values may also be acquired by the human body characteristic sensor, and these physical feature values are all capable of reflecting the physical state of the user and the physical feature values are relatively easy to obtain.
  • the wearable device determines whether the value of the distance between the user and the user is less than or equal to a preset distance threshold, and determines whether the physical characteristic value of the user exceeds a threshold range of the preset physical characteristic value of the user.
  • the wearable device obtains a value of the distance between the wearable device and the user, and determines whether the value is less than or equal to the preset distance threshold.
  • the preset distance threshold has a value range greater than or equal to 0 cm and less than or equal to 2 cm, for example, if the value of the distance between the wearable device and the user is 1.5 cm, the value is less than the preset distance threshold, for example, the wearable device obtains between the user and the user.
  • the value of the distance is 2.5 cm, which is greater than the preset distance threshold.
  • the threshold values of the preset user's physical characteristic values include: body temperature value, heart rate value, blood sugar level, blood pressure value, blood flow rate value, and the like.
  • the threshold value of the preset user's body temperature value ranges from 36 to 38 ° C, and the wearable device obtains the user's body temperature value by the temperature sensor to be 35 ° C, and the user's body feature value exceeds the preset user's physical feature value.
  • the threshold range for example, the threshold value of the preset user's heart rate value ranges from 60 to 100 times per minute, and the heart rate sensor in the human body sensor acquires the user's heart rate value of 75 times per minute, then the user's physical characteristics
  • the value does not exceed the threshold range of the preset user's physical characteristic value; for example, if the preset user's forearm blood flow rate threshold is 6-10 ml/min/100 g, the wearable device measures the user's forearm skin blood flow rate as At 8 ml/min/100 g, the user's physical characteristic value does not exceed the preset threshold range of the user's physical characteristic value.
  • the threshold value of the blood pressure value and the blood glucose level may also be preset, and the wearable device collects the physical characteristic value information and compares it with a preset threshold to determine whether the preset threshold range is exceeded. According to actual needs, the user's physical feature values can be collected simultaneously or only one.
  • the wearable device obtains a value of the distance between the wearable device and the user, and the preset distance threshold ranges from greater than or equal to 0 cm and less than or equal to 2 cm, and the threshold value range of the preset user's body temperature value is specified.
  • the wearable device obtains the user's body temperature value through the temperature sensor to be 37.3 ° C, then the user The body characteristic value does not exceed the threshold range of the preset user's physical feature value, and the value of the distance between the wearable device and the user and the user's body temperature value determines that the wearable device has been worn by the user.
  • the value of the distance between the wearable device and the user is less than or equal to the preset distance threshold, and the user's physical feature value does not exceed the preset threshold value of the user's physical feature value to determine the wearable device. It has been worn by the user. If the value of the distance between the wearable device and the user is less than or equal to the preset distance threshold, but the user's physical feature value exceeds the preset threshold value of the user's physical feature value, the wearable device cannot be determined. Has been worn by the user.
  • the threshold of the physical feature value is also not certain that the wearable device has been worn by the user.
  • the wearable device detecting method and the wearable device of the embodiment of the present invention simultaneously detect the value of the distance between the wearable device and the user and the physical characteristic value of the user, the value of the distance between the wearable device and the user, and the user's When the two values of the physical characteristic values do not exceed the preset threshold range, it can be determined that the user has worn the wearable device.
  • the embodiment of the present invention determines whether the user wears the wearable device, and does not The accuracy of the judgment is affected by changes in external conditions, for example, metal or other objects are close to each other, and at the same time, it is also possible to more accurately distinguish whether the human body or other objects wear the wearable device by the human body characteristic value. Therefore, the embodiment of the present invention can accurately determine Whether the user wears a wearable device and the detection success rate is high.
  • FIG. 5 is a schematic flowchart of a method for detecting a wearable device according to a second embodiment of the present invention, which specifically includes the following steps:
  • the wearable device detects a value of a distance between the wearable device and the user.
  • the wearable device detects the value of the distance between the wearable device and the user through the distance sensor or the proximity light sensor, and determines whether the user wears the wearable device by the value of the distance between the wearable device and the user.
  • the distance sensor in the embodiment of the present invention includes: a proximity light sensor, a linear proximity sensor, an ultrasonic displacement sensor, and the like.
  • the wearable device detects a physical characteristic value of the user.
  • the wearable device acquires a physical characteristic value of the user by using a human body characteristic sensor, and the physical characteristic value of the user includes one or more of a body temperature value, a heart rate value, a blood sugar level, a blood pressure value, and a blood flow rate value, for example:
  • the wearable device acquires the user's body temperature value through a temperature sensor in the human body characteristic sensor, or acquires the user's heart rate value through the heart rate sensor in the human body characteristic sensor, or acquires the user's blood flow rate value through the human body characteristic sensor, of course, in the implementation of the present invention
  • body characteristic values such as blood glucose levels and blood pressure values may also be acquired by the human body characteristic sensor, and these physical feature values are all capable of reflecting the physical state of the user and these physical feature values are relatively easy to obtain.
  • the wearable device determines whether the value of the distance between the user and the user is less than or equal to a preset distance threshold, and determines whether the physical characteristic value of the user exceeds a threshold range of the preset physical characteristic value of the user.
  • the wearable device obtains the value of the distance between the wearable device and the user, and determines whether the value is less than or equal to the preset distance threshold.
  • the preset distance threshold has a value range greater than or equal to 0. Centimeter and less than or equal to 2 cm, for example, if the value of the distance between the wearable device and the user is 1.5 cm, the value is less than the preset distance threshold, and for example, the wearable device obtains the distance between the user and the user.
  • the value is 2.5 cm, which is greater than the preset distance threshold.
  • the threshold value of the preset user's physical characteristic value includes a body temperature value, a heart rate value, a blood sugar level, a blood pressure value, a blood flow rate value, and the like.
  • the threshold value of the preset user's body temperature value ranges from 36 to 36.
  • the wearable device obtains the user's body temperature value by the temperature sensor to be 35 ° C, and the user's physical characteristic value exceeds the threshold range of the preset user's physical characteristic value; for example, the threshold value of the preset user's heart rate value is taken.
  • the value ranges from 60 to 100 times per minute.
  • the heart rate sensor in the human body sensor acquires the user's heart rate of 75 times per minute, and the user's body characteristic value does not exceed the threshold range of the preset user's physical feature value; for example,
  • the preset user's forearm blood flow rate threshold is 6-10ml/min/100g, and the wearable device measures the user's forearm skin blood flow rate of 8ml/min/100g, and the user's physical characteristic value does not exceed the preset user.
  • the threshold range of body trait values may also be preset, and the wearable device collects the physical characteristic value information and compares it with a preset threshold to determine whether the preset threshold range is exceeded. According to actual needs, the user's physical feature values can be collected simultaneously or only one.
  • the wearable device obtains a value of the distance between the wearable device and the user, and the preset distance threshold ranges from greater than or equal to 0 cm and less than or equal to 2 cm, and the threshold value range of the preset user's body temperature value is specified.
  • the wearable device obtains the user's body temperature value through the temperature sensor to be 37.3 ° C, then the user The body characteristic value does not exceed the threshold range of the preset user's physical feature value, and the value of the distance between the wearable device and the user and the user's body temperature value determines that the wearable device has been worn by the user.
  • S205 If the value of the distance between the wearable device and the user is greater than a preset distance threshold, or if the physical feature value of the user exceeds a preset threshold value of the physical feature value of the user, determining that the wearable device is not worn by the user .
  • the value of the distance between the wearable device and the user is less than or equal to a preset distance threshold.
  • the physical characteristic value of the user does not exceed the preset threshold value of the physical characteristic value of the user, it can be determined that the wearable device has been worn by the user, and if the value of the distance between the wearable device and the user is less than or equal to a preset distance threshold.
  • the physical characteristic value of the user exceeds the threshold value of the preset physical characteristic value of the user, it is not determined that the wearable device has been worn by the user.
  • the wearable device determines whether the wearable device has been worn by the user. If the value of the distance between the wearable device and the user is greater than a preset distance Threshold, but the user's physical feature value does not exceed the threshold of the preset user's physical feature value, nor is it determined that the wearable device has been worn by the user.
  • the preset distance threshold ranges from greater than or equal to 0 cm and less than or equal to 2 cm.
  • the threshold value of the preset user's body temperature value ranges from 36 to 38 ° C, if the wearable device obtains the user and the user.
  • the value of the distance between the two is 2.3 cm, and the value is greater than the preset distance threshold.
  • the wearable device obtains the user's body temperature value by the temperature sensor to 37 ° C, and the user's physical characteristic value does not exceed the preset user's physical characteristic value.
  • the threshold range determines that the wearable device is not worn by the user.
  • the preset distance threshold is greater than or equal to 0 cm and less than or equal to 2 cm, and the threshold of the preset user's heart rate is in the range of 60-100 times per minute, if the wearable device obtains The value of the distance from the user is 2 cm, and the value is equal to the preset distance threshold.
  • the heart rate sensor in the human body sensor acquires the user's heart rate 50 times per minute, and then determines that the wearable device is not worn by the user.
  • the wearable device detecting method and the wearable device of the embodiment of the present invention simultaneously detect the value of the distance between the wearable device and the user and the physical characteristic value of the user, the value of the distance between the wearable device and the user, and the user's When the two values of the physical characteristic values do not exceed the preset threshold range, it can be determined that the user has worn the wearable device.
  • the embodiment of the present invention determines whether the user wears the wearable device, and does not The accuracy of the judgment is affected by changes in external conditions, for example, metal or other objects are close to each other, and at the same time, it is also possible to more accurately distinguish whether the human body or other objects wear the wearable device by the human body characteristic value. Therefore, the embodiment of the present invention can accurately determine Whether the user wears a wearable device and the detection success rate is high.
  • FIG. 6 is a schematic structural diagram of a wearable device according to an embodiment of the present invention.
  • the wearable device 300 includes: at least one processor 301, a human body sensor 305, and a distance sensor 306, and further includes: at least one user interface 303, at least one communication bus. 302 and at least one memory 304.
  • the processor 301 may include: a CPU, and the human body characteristic sensor 305 may include: a body temperature sensor, a heart rate sensor, a blood glucose sensor, a blood pressure sensor, a blood flow rate sensor, and the like.
  • the sensor 306 can include a proximity light sensor, a linear proximity sensor, an ultrasonic displacement sensor, etc., and the communication bus 302 is used to effect connection communication between these components.
  • the user interface 303 can include a display, a keyboard, and the optional user interface 303 can also include a standard wired interface, a wireless interface.
  • the memory 304 may be a high speed RAM memory or a non-volatile memory such as at least one disk memory.
  • the memory 304 can optionally also be at least one storage device located remotely from the aforementioned processor 301.
  • the memory 304 stores a set of program codes, and the processor 301 calls the program code stored in the memory 304 for performing the following operations:
  • a set of program codes is stored in the memory 304, and the processor 301 calls the program code stored in the memory 304 for performing the following operations:
  • the distance sensor is used to detect the value of the distance between the wearable device and the user
  • a human body characteristic sensor is configured to detect a physical characteristic value of the user
  • the processor is configured to determine whether a value of the distance between the wearable device and the user is less than or equal to a preset distance threshold, and determine whether the physical feature value of the user exceeds a preset threshold value of the physical feature value of the user a range, if the value of the distance between the wearable device and the user is less than or equal to a preset distance threshold, and the physical feature value of the user does not exceed a preset threshold value of the physical feature value of the user, It is then determined that the wearable device has been worn by the user.
  • the wearable device detects the value of the distance between the wearable device and the user through the distance sensor or the proximity light sensor, and determines whether the user wears the wearable device by the value of the distance between the wearable device and the user.
  • the wearable device acquires a physical characteristic value of the user by using a human body characteristic sensor, and the physical characteristic value of the user includes one or more of a body temperature value, a heart rate value, a blood sugar level, a blood pressure value, and a blood flow rate value, for example, the wearable device passes
  • the temperature sensor in the human body sensor acquires the user's body temperature value, or obtains the user's heart rate value through the heart rate sensor in the body characteristic sensor, or acquires the user's blood flow rate value through the human body characteristic sensor, of course, other in the embodiment of the present invention
  • the body characteristic values such as the blood sugar level and the blood pressure value can also be acquired by the human body characteristic sensor, and the physical feature values can all reflect the physical state of the user and the physical feature values are relatively easy to obtain.
  • processor 301 invoking the program code stored in the memory 304 may also perform the following operations:
  • processor 301 invoking the program code stored in the memory 304 may also perform the following operations:
  • processor 301 invoking the program code stored in the memory 304 may also perform the following operations:
  • the physical characteristic value of the user includes one or more of a body temperature value, a heart rate value, a blood sugar level, a blood pressure value, and a blood flow rate value.
  • the wearable device obtains a value of the distance between the wearable device and the user, and determines whether the value is less than or equal to the preset distance threshold.
  • the preset distance threshold has a value range greater than or equal to 0 cm and less than or equal to 2 cm, for example, if the wearable device obtains a distance of 1.5 cm from the user, the value is less than the preset distance threshold, and, for example, the wearable device obtains a distance of 2.5 cm from the user. , the value is greater than the preset distance threshold.
  • the threshold value of the preset user's physical characteristic value includes a body temperature value, a heart rate value, a blood sugar level, a blood pressure value, a blood flow rate value, and the like.
  • the threshold value of the preset user's body temperature value ranges from 36 to 36.
  • the wearable device obtains the user's body temperature value by the temperature sensor to be 35 ° C, and the user's physical characteristic value exceeds the threshold range of the preset user's physical characteristic value; for example, the threshold value of the preset user's heart rate value is taken.
  • the value ranges from 60 to 100 times per minute.
  • the heart rate sensor in the human body sensor acquires the user's heart rate of 75 times per minute, and the user's body characteristic value does not exceed the threshold range of the preset user's physical feature value; for example,
  • the preset user's forearm blood flow rate threshold is 6-10ml/min/100g, and the wearable device measures the user's forearm skin blood flow rate of 8ml/min/100g, and the user's physical characteristic value does not exceed the preset user.
  • the threshold range of body trait values may also be preset, and the wearable device collects the physical characteristic value information and compares it with a preset threshold to determine whether the preset threshold range is exceeded. According to actual needs, the user's physical feature values can be collected simultaneously or only one.
  • processor 301 invoking the program code stored in the memory 304 may also perform the following operations:
  • the value of the distance between the wearable device and the user is obtained by a distance sensor.
  • processor 301 invoking the program code stored in the memory 304 may also perform the following operations:
  • the physical feature value of the user is acquired by a human body feature sensor.
  • the wearable device obtains a value of the distance between the wearable device and the user, and the preset distance threshold ranges from greater than or equal to 0 cm and less than or equal to 2 cm, and the threshold value range of the preset user's body temperature value is specified.
  • the wearable device obtains the user's body temperature value through the temperature sensor to be 37.3 ° C, then the user The body characteristic value does not exceed the threshold range of the preset user's physical feature value, and the value of the distance between the wearable device and the user and the user's body temperature value determines that the wearable device has been worn by the user.
  • the value of the distance between the wearable device and the user is less than or equal to the preset distance threshold, and the user's physical feature value does not exceed the preset threshold value of the user's physical feature value to determine that the wearable device has been worn by the user. If the value of the distance between the wearable device and the user is less than or equal to the preset distance threshold, but the physical characteristic value of the user exceeds the threshold of the preset physical characteristic value of the user, it is not determined that the wearable device has been worn by the user.
  • the wearable device has been used by the user. Wear it.
  • the preset distance threshold ranges from greater than or equal to 0 cm and less than or equal to 2 cm.
  • the threshold value of the preset user's body temperature value ranges from 36 to 38 ° C, if the wearable device obtains the user and the user.
  • the value of the distance between the two is 2.3 cm, and the value is greater than the preset distance threshold.
  • the wearable device obtains the user's body temperature value by the temperature sensor to 37 ° C, and the user's physical characteristic value does not exceed the preset user's physical characteristic value.
  • the threshold range determines that the wearable device is not worn by the user.
  • the preset distance threshold is greater than or equal to 0 cm and less than or equal to 2 cm, and the threshold of the preset user's heart rate is in the range of 60-100 times per minute, if the wearable device obtains The value of the distance from the user is 2 cm, and the value is equal to the preset distance threshold.
  • the heart rate sensor in the human body sensor acquires the user's heart rate 50 times per minute, and then determines that the wearable device is not worn by the user.
  • the wearable device detecting method and the wearable device of the embodiment of the present invention simultaneously detect the value of the distance between the wearable device and the user and the physical characteristic value of the user, when the distance between the wearable device and the user
  • the embodiment of the present invention determines whether the user wears the wearable device, and the embodiment of the present invention determines whether the user wears the wearable device, and the value of the user and the physical value of the user do not exceed the preset threshold range.
  • the method does not affect the accuracy of the judgment due to changes in external conditions, for example, metal or other objects are close to each other, and at the same time, it is also possible to more accurately distinguish whether the human body or other objects wear the wearable device by the human body characteristic value, and therefore, the present invention is implemented. For example, it is possible to accurately determine whether a user wears a wearable device, and the detection success rate is high.
  • aspects of the present invention, or possible implementations of various aspects may be embodied as a system, method, or computer program product.
  • aspects of the invention, or possible implementations of various aspects may take the form of a computer program product, which is a computer readable program code stored in a computer readable medium.
  • the computer readable medium can be a computer readable data medium or a computer readable storage medium.
  • the computer readable storage medium includes, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing, such as random access memory (RAM), read only memory (ROM), Erase programmable read-only memory (EPROM or flash memory), optical fiber, portable read-only memory (CD-ROM).
  • the processor in the computer reads the computer readable program code stored in the computer readable medium such that the processor is capable of performing the various functional steps specified in each step of the flowchart, or a combination of steps; A device that functions as specified in each block, or combination of blocks.
  • the computer readable program code can execute entirely on the user's computer, partly on the user's computer, as a separate software package, partly on the user's own computer and partly on the remote computer, or entirely on the remote computer or server Execute on. It should also be noted that in some alternative implementations, the functions noted in the various steps in the flowcharts or in the blocks in the block diagrams may not occur in the order noted. For example, two steps, or two blocks, shown in succession may be executed substantially concurrently or the blocks may be executed in the reverse order.

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Abstract

一种可穿戴设备检测方法及可穿戴设备(300),该可穿戴设备(300)包括:至少一个处理器(301),人体特征传感器(305)及距离传感器(306),至少一个用户接口(303),至少一个通信总线(302)及至少一个存储器(304)。该方法包括:检测可穿戴设备(300)与用户之间的距离的值;检测用户的身体特征值;若可穿戴设备(300)与用户之间的距离的值小于或者等于预设的距离阈值,且用户的身体特征值没有超出预设的用户的身体特征值的阈值,则确定可穿戴设备(300)已被用户佩戴。该可穿戴设备(300)检测方法及可穿戴设备(300),可通过检测可穿戴设备与用户之间的距离的值及用户的身体特征值,快速、准确地确定用户是否佩戴可穿戴设备(300),检测成功率高。

Description

一种可穿戴设备的检测方法及可穿戴设备 技术领域
本发明涉及通信领域,尤其涉及一种可穿戴设备的检测方法及可穿戴设备。
背景技术
可穿戴设备是一种直接穿在身上或是整合到用户的衣服及配件上的一种便携式设备。可穿戴设备是通过软件支持以及数据交互、云端交互来实现多种功能的硬件设备,现有技术主要通过电容传感器进行检测,但使用电容传感器时,在金属物体靠近电容传感器的时候电容传感器就会失效,检测精度较低,若无法精确确定可穿戴设备是否已穿戴用户身上,有别的物体靠近就无法检测或者检测结果不准确,就很难正常使用可穿戴设备,为用户造成很大不便。
发明内容
本发明实施例提供一种可穿戴设备检测方法及可穿戴设备,该方法可通过同时检测可穿戴设备与用户之间的距离的值及用户的身体特征值,精准确定用户是否佩戴可穿戴设备。
第一方面,本发明实施例提供一种可穿戴设备检测方法,包括:
检测可穿戴设备与用户之间的距离的值;
检测所述用户的身体特征值;
确定所述可穿戴设备与用户之间的距离的值是否小于或者等于预设的距离阈值;并确定所述用户的身体特征值是否超出预设的所述用户的身体特征值的阈值范围;
若所述可穿戴设备与所述用户之间的距离的值小于或者等于预设的距离阈值,且所述用户的身体特征值没有超出预设的所述用户的身体特征值的阈值,则确定所述可穿戴设备已被所述用户佩戴。
结合第一方面,在第一方面的第一种可能的实现方式中,所述方法还包括:
若所述可穿戴设备与用户之间的距离的值大于预设的距离阈值,则确定所 述可穿戴设备未被所述用户佩戴。
结合第一方面,在第一方面的第二种可能的实现方式中,所述方法还包括:
若所述用户的身体特征值超出预设的所述用户的身体特征值的阈值,则确定所述可穿戴设备未被所述用户佩戴。
结合第一方面至第一方面第二种可能的实现方式中任一种,在第一方面的第三种可能的实现方式中,
所述用户的身体特征值包括:体温值、心率值、血糖值、血压值、血液流速值中的一种或者多种。
结合第一方面至第一方面第三种可能的实现方式中任一种,在第一方面的第四种可能的实现方式中,
所述可穿戴设备与用户之间的距离的值通过距离传感器获取。
结合第一方面至第一方面第四种可能的实现方式中任一种,在第一方面的第五种可能的实现方式中,
所述用户的身体特征值通过人体特征传感器获取。
第二方面,本发明实施例还提供一种可穿戴设备,包括:距离传感器、人体特征传感器及处理器,其中,
所述距离传感器用于检测可穿戴设备与用户之间的距离的值;
所述人体特征传感器用于检测所述用户的身体特征值;
所述处理器用于确定所述可穿戴设备与用户之间的距离的值是否小于或者等于预设的距离阈值,并确定所述用户的身体特征值是否超出预设的所述用户的身体特征值的阈值范围,若所述可穿戴设备与所述用户之间的距离的值小于或者等于预设的距离阈值,且所述用户的身体特征值没有超出预设的所述用户的身体特征值的阈值,则确定所述可穿戴设备已被所述用户佩戴。
结合第二方面,在第二面的第一种可能的实现方式中,还包括:
若所述可穿戴设备与用户之间的距离的值大于预设的距离阈值,则确定所述可穿戴设备未被所述用户佩戴。
结合第二方面,在第二方面的第二种可能的实现方式中,所述方法还包括:
若所述用户的身体特征值超出预设的所述用户的身体特征值的阈值,则确定所述可穿戴设备未被所述用户佩戴。
结合第二方面至第二方面第二种可能的实现方式中任一种,在第二方面的第三种可能的实现方式中,
所述用户的身体特征值包括:体温值、心率值、血糖值、血压值、血液流速值中的一种或者多种。
本发明实施例的可穿戴设备检测方法及可穿戴设备,同时检测可穿戴设备与用户之间的距离的值及用户的身体特征值,当可穿戴设备与用户之间的距离的值及用户的身体特征值这两个值均未超出预设的阈值范围时,才可确定用户已佩戴可穿戴设备,与现有技术相比,本发明实施例判断用户是否佩戴可穿戴设备的方式,不会因外界条件变化而影响判断的准确度,例如,金属或者其它物体靠近,同时,也能通过人体特征值更加精确区分是人体还是其它物体佩戴可穿戴设备,因此,本发明实施例能精准地确定用户是否佩戴可穿戴设备,检测成功率高。
附图说明
为了更清楚的说明本发明实施例或现有技术中的技术方案,下面将对实施例中所需要使用的附图作简单的介绍,显而易见的,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1为本发明实施例智能手表结构示意图;
图2为本发明实施例智能眼镜结构示意图;
图3为本发明实施例智能手环结构示意图;
图4为本发明第一实施例可穿戴设备检测方法流程示意图;
图5为本发明第二实施例可穿戴设备检测方法流程示意图;
图6为本发明实施例可穿戴设备结构示意图。
具体实施方式
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整的描述,显然,所描述的实施例是本发明一部分实施例,而不是全部 的实施例。基于本发明中的实施例,本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。
请参见图1、图2、图3,具体实现中,本发明实施例中描述的可穿戴设备可包括:智能手表、智能手环、智能戒指、智能眼镜等,上述可穿戴设备仅是举例,而非穷举,包含但不限于上述可穿戴设备。
请参见图4,为本发明第一实施例可穿戴设备检测方法流程示意图,具体包括以下步骤:
S101、可穿戴设备检测其与用户之间的距离的值。
具体的,可穿戴设备通过距离传感器检测其与用户之间的距离的值,通过其与用户之间的距离的值,判断用户是否佩戴该可穿戴设备,应当理解,本发明实施例中的距离传感器包括:接近光传感器、线性接近传感器、超声波位移传感器等。
S102、可穿戴设备检测用户的身体特征值。
具体的,可穿戴设备通过人体特征传感器获取用户的身体特征值,用户的身体特征值包括:体温值、心率值、血糖值、血压值、血液流速值中的一种或者多种。
例如:可穿戴设备通过人体特征传感器中的温度传感器获取用户体温值,或者,通过人体特征传感器中的心率传感器获取用户的心率值,或者,通过人体特征传感器获取用户的血液流速值,当然,在本发明实施例的其它实施方式中,也可通过人体特征传感器获取血糖值、血压值等身体特征值,这些身体特征值均能反应用户的身体状态并且这些身体特征值比较容易获得。
S103、可穿戴设备确定其与用户之间的距离的值是否小于或者等于预设的距离阈值,并确定用户的身体特征值是否超出预设的用户的身体特征值的阈值范围。
具体的,可穿戴设备获取其与用户之间的距离的值,判断该值是否小于或者等于预设距离阈值,应当理解,预设距离阈值的取值范围为大于或者等于0厘米且小于或者等于2厘米,例如,可穿戴设备获取其与用户之间的距离的值为1.5厘米,则该值小于预设距离阈值,又如,可穿戴设备获取其与用户之间 的距离的值为2.5厘米,则该值大于预设距离阈值。
需要知道的是,预设的用户的身体特征值的阈值包括:体温值、心率值、血糖值、血压值、血液流速值等。例如,预设用户的体温值的阈值的取值范围为:36-38℃,可穿戴设备通过温度传感器获取用户体温值为35℃,则用户的身体特征值超出预设的用户的身体特征值的阈值范围;又如,预设用户的心率值的阈值的取值范围为60-100次每分钟,人体特征传感器中的心率传感器获取用户的心率值为75次每分钟,则用户的身体特征值没有超出预设的用户的身体特征值的阈值范围;又如,预设的用户的前臂血液流速的阈值为6-10ml/min/100g,则可穿戴设备测得用户的前臂皮肤血液流速为8ml/min/100g时,用户的身体特征值没有超出预设的用户的身体特征值的阈值范围。同理,血压值、血糖值的阈值也可预先设置,可穿戴设备采集到上述身体特征值信息后与预设的阈值进行比对,确定是否超出预设的阈值范围。根据实际需要,用户的身体特征值可同时采集几种,或者只采集一种。
S104、若可穿戴设备与用户之间的距离的值小于或者等于预设的距离阈值,且用户的身体特征值没有超出预设的用户的身体特征值的阈值,则确定可穿戴设备已被用户佩戴。
具体的,可穿戴设备获取其与用户之间的距离的值,预设距离阈值的取值范围为大于或者等于0厘米且小于或者等于2厘米,预设用户的体温值的阈值的取值范围为:36-38℃,如果可穿戴设备获取其与用户之间的距离的值为1.5厘米,则该值小于预设距离阈值,可穿戴设备通过温度传感器获取用户体温值为37.3℃,则用户的身体特征值没超出预设的用户的身体特征值的阈值范围,通过可穿戴设备与用户之间的距离的值及用户的体温值,确定可穿戴设备已被用户佩戴。
需要知道的是,可穿戴设备与用户之间的距离的值小于或者等于预设的距离阈值,同时,用户的身体特征值没有超出预设的用户的身体特征值的阈值,才能确定可穿戴设备已被用户佩戴,若可穿戴设备与用户之间的距离的值小于或者等于预设的距离阈值,但用户的身体特征值超出预设的用户的身体特征值的阈值,亦不能确定可穿戴设备已被用户佩戴,同理,若可穿戴设备与用户之间的距离的值大于预设的距离阈值,但用户的身体特征值未超出预设的用户的 身体特征值的阈值,也不能确定可穿戴设备已被用户佩戴。
本发明实施例的可穿戴设备检测方法及可穿戴设备,同时检测可穿戴设备与用户之间的距离的值及用户的身体特征值,当可穿戴设备与用户之间的距离的值及用户的身体特征值这两个值均未超出预设的阈值范围时,才可确定用户已佩戴可穿戴设备,与现有技术相比,本发明实施例判断用户是否佩戴可穿戴设备的方式,不会因外界条件变化而影响判断的准确度,例如,金属或者其它物体靠近,同时,也能通过人体特征值更加精确区分是人体还是其它物体佩戴可穿戴设备,因此,本发明实施例能精准地确定用户是否佩戴可穿戴设备,检测成功率高。
请参见图5,为本发明第二实施例可穿戴设备检测方法流程示意图,具体包括以下步骤:
S201、可穿戴设备检测其与用户之间的距离的值。
具体的,可穿戴设备通过距离传感器或者接近光传感器检测其与用户之间的距离的值,通过其与用户之间的距离的值,判断用户是否佩戴该可穿戴设备。应当理解,本发明实施例中的距离传感器包括:接近光传感器、线性接近传感器、超声波位移传感器等。
S202、可穿戴设备检测用户的身体特征值。
具体的,可穿戴设备通过人体特征传感器获取用户的身体特征值,用户的身体特征值包括:体温值、心率值、血糖值、血压值、血液流速值中的一种或者多种,例如:可穿戴设备通过人体特征传感器中的温度传感器获取用户体温值,或者,通过人体特征传感器中的心率传感器获取用户的心率值,或者,通过人体特征传感器获取用户的血液流速值,当然,在本发明实施例的其它实施方式中,也可通过人体特征传感器获取血糖值、血压值等身体特征值,这些身体特征值均能反应用户的身体状态并且这些身体特征值比较容易获得。
S203、可穿戴设备确定其与用户之间的距离的值是否小于或者等于预设的距离阈值,并确定用户的身体特征值是否超出预设的用户的身体特征值的阈值范围。
具体的,可穿戴设备获取其与用户之间的距离的值,判断该值是否小于或者等于预设距离阈值,应当理解,预设距离阈值的取值范围为大于或者等于0 厘米且小于或者等于2厘米,例如,可穿戴设备获取其与用户之间的距离的值为1.5厘米,则该值小于预设距离阈值,又如,可穿戴设备获取其与用户之间的距离的值为2.5厘米,则该值大于预设距离阈值。
需要知道的是,预设的用户的身体特征值的阈值包括体温值、心率值、血糖值、血压值、血液流速值等,例如,预设用户的体温值的阈值的取值范围为:36-38℃,可穿戴设备通过温度传感器获取用户体温值为35℃,则用户的身体特征值超出预设的用户的身体特征值的阈值范围;又如,预设用户的心率值的阈值的取值范围为60-100次每分钟,人体特征传感器中的心率传感器获取用户的心率为75次每分钟,则用户的身体特征值没有超出预设的用户的身体特征值的阈值范围;又如,预设的用户的前臂血液流速的阈值为6-10ml/min/100g,则可穿戴设备测得用户的前臂皮肤血液流速为8ml/min/100g时,用户的身体特征值没有超出预设的用户的身体特征值的阈值范围。同理,血压值、血糖值的阈值也可预先设置,可穿戴设备采集到上述身体特征值信息后与预设的阈值进行比对,确定是否超出预设的阈值范围。根据实际需要,用户的身体特征值可同时采集几种,或者只采集一种。
S204、若可穿戴设备与用户之间的距离的值小于或者等于预设的距离阈值,且用户的身体特征值没有超出预设的用户的身体特征值的阈值,则确定可穿戴设备已被用户佩戴。
具体的,可穿戴设备获取其与用户之间的距离的值,预设距离阈值的取值范围为大于或者等于0厘米且小于或者等于2厘米,预设用户的体温值的阈值的取值范围为:36-38℃,如果可穿戴设备获取其与用户之间的距离的值为1.5厘米,则该值小于预设距离阈值,可穿戴设备通过温度传感器获取用户体温值为37.3℃,则用户的身体特征值没超出预设的用户的身体特征值的阈值范围,通过可穿戴设备与用户之间的距离的值及用户的体温值,确定可穿戴设备已被用户佩戴。
S205、若可穿戴设备与用户之间的距离的值大于预设的距离阈值,或者,若用户的身体特征值超出预设的用户的身体特征值的阈值,则确定可穿戴设备未被用户佩戴。
具体的,可穿戴设备与用户之间的距离的值小于或者等于预设的距离阈值, 同时,用户的身体特征值没有超出预设的用户的身体特征值的阈值,才能确定可穿戴设备已被用户佩戴,若可穿戴设备与用户之间的距离的值小于或者等于预设的距离阈值,但用户的身体特征值超出预设的用户的身体特征值的阈值,亦不能确定可穿戴设备已被用户佩戴,同理,若可穿戴设备与用户之间的距离的值大于预设的距离阈值,但用户的身体特征值未超出预设的用户的身体特征值的阈值,也不能确定可穿戴设备已被用户佩戴。
例如,预设距离阈值的取值范围为大于或者等于0厘米且小于或者等于2厘米,预设用户的体温值的阈值的取值范围为:36-38℃,如果可穿戴设备获取其与用户之间的距离的值为2.3厘米,则该值大于预设距离阈值,可穿戴设备通过温度传感器获取用户体温值为37℃,则用户的身体特征值没超出预设的用户的身体特征值的阈值范围,则确定可穿戴设备未被用户佩戴。又如,预设距离阈值的取值范围为大于或者等于0厘米且小于或者等于2厘米,预设用户的心率值的阈值的取值范围为60-100次每分钟,如果可穿戴设备获取其与用户之间的距离的值为2厘米,则该值等于预设距离阈值,人体特征传感器中的心率传感器获取用户的心率为50次每分钟,则确定可穿戴设备未被用户佩戴。
本发明实施例的可穿戴设备检测方法及可穿戴设备,同时检测可穿戴设备与用户之间的距离的值及用户的身体特征值,当可穿戴设备与用户之间的距离的值及用户的身体特征值这两个值均未超出预设的阈值范围时,才可确定用户已佩戴可穿戴设备,与现有技术相比,本发明实施例判断用户是否佩戴可穿戴设备的方式,不会因外界条件变化而影响判断的准确度,例如,金属或者其它物体靠近,同时,也能通过人体特征值更加精确区分是人体还是其它物体佩戴可穿戴设备,因此,本发明实施例能精准地确定用户是否佩戴可穿戴设备,检测成功率高。
请参见图6,本发明实施例可穿戴设备结构示意图,该可穿戴设备300包括:至少一个处理器301,人体特征传感器305及距离传感器306,还包括:至少一个用户接口303、至少一个通信总线302及至少一个存储器304。
其中,处理器301可以包括:CPU,人体特征传感器305可以包括:体温传感器、心率传感器、血糖传感器、血压传感器、血液流速传感器等,距离传 感器306可以包括:接近光传感器、线性接近传感器、超声波位移传感器等,通信总线302用于实现这些组件之间的连接通信。用户接口303可以包括显示屏(Display)、键盘(Keyboard),可选用户接口303还可以包括标准的有线接口、无线接口。存储器304可以是高速RAM存储器,也可以是非不稳定的存储器(non-volatile memory),例如至少一个磁盘存储器。存储器304可选的还可以是至少一个位于远离前述处理器301的存储装置。其中,存储器304中存储一组程序代码,且处理器301调用存储器304中存储的程序代码,用于执行以下操作:
存储器304中存储一组程序代码,且处理器301调用存储器304中存储的程序代码,用于执行以下操作:
距离传感器用于检测可穿戴设备与用户之间的距离的值;
人体特征传感器用于检测所述用户的身体特征值;
处理器用于确定所述可穿戴设备与用户之间的距离的值是否小于或者等于预设的距离阈值,并确定所述用户的身体特征值是否超出预设的所述用户的身体特征值的阈值范围,若所述可穿戴设备与所述用户之间的距离的值小于或者等于预设的距离阈值,且所述用户的身体特征值没有超出预设的所述用户的身体特征值的阈值,则确定所述可穿戴设备已被所述用户佩戴。
具体的,可穿戴设备通过距离传感器或者接近光传感器检测其与用户之间的距离的值,通过其与用户之间的距离的值,判断用户是否佩戴该可穿戴设备。
可穿戴设备通过人体特征传感器获取用户的身体特征值,用户的身体特征值包括:体温值、心率值、血糖值、血压值、血液流速值中的一种或者多种,例如:可穿戴设备通过人体特征传感器中的温度传感器获取用户体温值,或者,通过人体特征传感器中的心率传感器获取用户的心率值,或者,通过人体特征传感器获取用户的血液流速值,当然,在本发明实施例的其它实施方式中,也可通过人体特征传感器获取血糖值、血压值等身体特征值,这些身体特征值均能反应用户的身体状态并且这些身体特征值比较容易获得。
在可选实施例中,处理器301调用存储器304中存储的程序代码还可以执行以下操作:
若所述可穿戴设备与用户之间的距离的值大于预设的距离阈值,则确定所 述可穿戴设备未被所述用户佩戴。
在可选实施例中,处理器301调用存储器304中存储的程序代码还可以执行以下操作:
若所述用户的身体特征值超出预设的所述用户的身体特征值的阈值,则确定所述可穿戴设备未被所述用户佩戴。
在可选实施例中,处理器301调用存储器304中存储的程序代码还可以执行以下操作:
所述用户的身体特征值包括:体温值、心率值、血糖值、血压值、血液流速值中的一种或者多种。
具体的,可穿戴设备获取其与用户之间的距离的值,判断该值是否小于或者等于预设距离阈值,应当理解,预设距离阈值的取值范围为大于或者等于0厘米且小于或者等于2厘米,例如,可穿戴设备获取其与用户之间的距离的值为1.5厘米,则该值小于预设距离阈值,又如,可穿戴设备获取其与用户之间的距离的值为2.5厘米,则该值大于预设距离阈值。
需要知道的是,预设的用户的身体特征值的阈值包括体温值、心率值、血糖值、血压值、血液流速值等,例如,预设用户的体温值的阈值的取值范围为:36-38℃,可穿戴设备通过温度传感器获取用户体温值为35℃,则用户的身体特征值超出预设的用户的身体特征值的阈值范围;又如,预设用户的心率值的阈值的取值范围为60-100次每分钟,人体特征传感器中的心率传感器获取用户的心率为75次每分钟,则用户的身体特征值没有超出预设的用户的身体特征值的阈值范围;又如,预设的用户的前臂血液流速的阈值为6-10ml/min/100g,则可穿戴设备测得用户的前臂皮肤血液流速为8ml/min/100g时,用户的身体特征值没有超出预设的用户的身体特征值的阈值范围。同理,血压值、血糖值的阈值也可预先设置,可穿戴设备采集到上述身体特征值信息后与预设的阈值进行比对,确定是否超出预设的阈值范围。根据实际需要,用户的身体特征值可同时采集几种,或者只采集一种。
在可选实施例中,处理器301调用存储器304中存储的程序代码还可以执行以下操作:
所述可穿戴设备与用户之间的距离的值通过距离传感器获取。
在可选实施例中,处理器301调用存储器304中存储的程序代码还可以执行以下操作:
所述用户的身体特征值通过人体特征传感器获取。
具体的,可穿戴设备获取其与用户之间的距离的值,预设距离阈值的取值范围为大于或者等于0厘米且小于或者等于2厘米,预设用户的体温值的阈值的取值范围为:36-38℃,如果可穿戴设备获取其与用户之间的距离的值为1.5厘米,则该值小于预设距离阈值,可穿戴设备通过温度传感器获取用户体温值为37.3℃,则用户的身体特征值没超出预设的用户的身体特征值的阈值范围,通过可穿戴设备与用户之间的距离的值及用户的体温值,确定可穿戴设备已被用户佩戴。
可穿戴设备与用户之间的距离的值小于或者等于预设的距离阈值,同时,用户的身体特征值没有超出预设的用户的身体特征值的阈值,才能确定可穿戴设备已被用户佩戴,若可穿戴设备与用户之间的距离的值小于或者等于预设的距离阈值,但用户的身体特征值超出预设的用户的身体特征值的阈值,亦不能确定可穿戴设备已被用户佩戴,同理,若可穿戴设备与用户之间的距离的值大于预设的距离阈值,但用户的身体特征值未超出预设的用户的身体特征值的阈值,也不能确定可穿戴设备已被用户佩戴。
例如,预设距离阈值的取值范围为大于或者等于0厘米且小于或者等于2厘米,预设用户的体温值的阈值的取值范围为:36-38℃,如果可穿戴设备获取其与用户之间的距离的值为2.3厘米,则该值大于预设距离阈值,可穿戴设备通过温度传感器获取用户体温值为37℃,则用户的身体特征值没超出预设的用户的身体特征值的阈值范围,则确定可穿戴设备未被用户佩戴。又如,预设距离阈值的取值范围为大于或者等于0厘米且小于或者等于2厘米,预设用户的心率值的阈值的取值范围为60-100次每分钟,如果可穿戴设备获取其与用户之间的距离的值为2厘米,则该值等于预设距离阈值,人体特征传感器中的心率传感器获取用户的心率为50次每分钟,则确定可穿戴设备未被用户佩戴。
本发明实施例的可穿戴设备检测方法及可穿戴设备,同时检测可穿戴设备与用户之间的距离的值及用户的身体特征值,当可穿戴设备与用户之间的距离 的值及用户的身体特征值这两个值均未超出预设的阈值范围时,才可确定用户已佩戴可穿戴设备,与现有技术相比,本发明实施例判断用户是否佩戴可穿戴设备的方式,不会因外界条件变化而影响判断的准确度,例如,金属或者其它物体靠近,同时,也能通过人体特征值更加精确区分是人体还是其它物体佩戴可穿戴设备,因此,本发明实施例能精准地确定用户是否佩戴可穿戴设备,检测成功率高。
本领域普通技术人员将会理解,本发明的各个方面、或各个方面的可能实现方式可以被具体实施为系统、方法或者计算机程序产品。此外,本发明的各方面、或各个方面的可能实现方式可以采用计算机程序产品的形式,计算机程序产品是指存储在计算机可读介质中的计算机可读程序代码。
计算机可读介质可以是计算机可读数据介质或者计算机可读存储介质。计算机可读存储介质包含但不限于电子、磁性、光学、电磁、红外或半导体系统、设备或者装置,或者前述的任意适当组合,如随机存取存储器(RAM)、只读存储器(ROM)、可擦除可编程只读存储器(EPROM或者快闪存储器)、光纤、便携式只读存储器(CD-ROM)。
计算机中的处理器读取存储在计算机可读介质中的计算机可读程序代码,使得处理器能够执行在流程图中每个步骤、或各步骤的组合中规定的功能动作;生成实施在框图的每一块、或各块的组合中规定的功能动作的装置。
计算机可读程序代码可以完全在用户的计算机上执行、部分在用户的计算机上执行、作为单独的软件包、部分在用户的本的计算机上并且部分在远程计算机上,或者完全在远程计算机或者服务器上执行。也应该注意,在某些替代实施方案中,在流程图中各步骤、或框图中各块所注明的功能可能不按图中注明的顺序发生。例如,依赖于所涉及的功能,接连示出的两个步骤、或两个块实际上可能被大致同时执行,或者这些块有时候可能被以相反顺序执行。
显然,本领域的技术人员可以对本发明进行各种改动和变型而不脱离本发明的精神和范围。这样,倘若本发明的这些修改和变型属于本发明权利要求及其等同技术的范围之内,则本发明也意图包含这些改动和变型在内。

Claims (10)

  1. 一种可穿戴设备检测方法,其特征在于,包括:
    检测可穿戴设备与用户之间的距离的值;
    检测所述用户的身体特征值;
    确定所述可穿戴设备与用户之间的距离的值是否小于或者等于预设的距离阈值;
    确定所述用户的身体特征值是否超出预设的所述用户的身体特征值的阈值范围;
    若所述可穿戴设备与所述用户之间的距离的值小于或者等于预设的距离阈值,且所述用户的身体特征值没有超出预设的所述用户的身体特征值的阈值,则确定所述可穿戴设备已被所述用户佩戴。
  2. 如权利要求1所述的方法,其特征在于,所述方法还包括:
    若所述可穿戴设备与用户之间的距离的值大于预设的距离阈值,则确定所述可穿戴设备未被所述用户佩戴。
  3. 如权利要求1所述的方法,其特征在于,所述方法还包括:
    若所述用户的身体特征值超出预设的所述用户的身体特征值的阈值,则确定所述可穿戴设备未被所述用户佩戴。
  4. 如权利要求1至3任一项所述的方法,其特征在于,
    所述用户的身体特征值包括:体温值、心率值、血糖值、血压值、血液流速值中的一种或者多种。
  5. 如权利要求1至4任一项所述的方法,其特征在于,所述可穿戴设备与用户之间的距离的值通过距离传感器获取。
  6. 如权利要求1至5任一项所述的方法,其特征在于,所述用户的身体特征值通过人体特征传感器获取。
  7. 一种可穿戴设备,其特征在于,包括:距离传感器、人体特征传感器及处理器,其中,
    所述距离传感器用于检测可穿戴设备与用户之间的距离的值;
    所述人体特征传感器用于检测所述用户的身体特征值;
    所述处理器用于确定所述可穿戴设备与用户之间的距离的值是否小于或者等于预设的距离阈值,并确定所述用户的身体特征值是否超出预设的所述用户的身体特征值的阈值范围,若所述可穿戴设备与所述用户之间的距离的值小于或者等于预设的距离阈值,且所述用户的身体特征值没有超出预设的所述用户的身体特征值的阈值,则确定所述可穿戴设备已被所述用户佩戴。
  8. 如权利要求7所述的可穿戴设备,其特征在于,所述处理器还用于:
    若所述可穿戴设备与所述用户的距离的值超过预设的距离阈值,则确定所述可穿戴设备未被所述用户佩戴。
  9. 如权利要求7所述的可穿戴设备,其特征在于,所述所述处理器还用于:
    若所述用户的身体特征值超出预设的所述用户的身体特征值的阈值,则确定所述可穿戴设备未被所述用户佩戴。
  10. 如权利要求7至9任一项所述的可穿戴设备,其特征在于,
    所述用户的身体特征值包括:体温值、心率值、血糖值、血压值、血液流速值中的一种或者多种。
PCT/CN2015/070088 2015-01-05 2015-01-05 一种可穿戴设备的检测方法及可穿戴设备 WO2016109917A1 (zh)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109480806A (zh) * 2018-09-19 2019-03-19 歌尔科技有限公司 头戴设备及其穿戴装置,以及头戴设备的调节方法

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106659401A (zh) * 2015-01-05 2017-05-10 华为技术有限公司 一种可穿戴设备的检测方法及可穿戴设备
US10285645B2 (en) * 2015-09-28 2019-05-14 Apple Inc. Sensing contact force related to user wearing an electronic device
CN105758452B (zh) * 2016-02-04 2018-05-15 歌尔股份有限公司 一种可穿戴设备的佩戴状态检测方法和装置
USD823853S1 (en) * 2017-02-07 2018-07-24 Lg Electronics Inc. Portable wrist wearable device
CN108420411B (zh) * 2018-01-24 2021-01-19 广东乐心医疗电子股份有限公司 信号处理方法及电子设备
CN111918612A (zh) * 2018-06-05 2020-11-10 谷和雄 血流量测定系统
WO2022020734A1 (en) * 2020-07-24 2022-01-27 A.D. Integrity Applications Ltd. Device for non-invasively measuring glucose concentration
CN112244801A (zh) * 2020-09-30 2021-01-22 泰州翔升科技服务有限公司 一种智能穿戴设备的数据采集方法及可穿戴设备
CN112462593B (zh) * 2020-11-27 2022-02-08 维沃移动通信有限公司 智能手表

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101410900A (zh) * 2006-03-24 2009-04-15 皇家飞利浦电子股份有限公司 用于可佩戴装置的数据处理
US20120184878A1 (en) * 2011-01-13 2012-07-19 Bijan Najafi Intelligent device to monitor and remind patients with footwear, walking aids, braces, or orthotics
CN103536279A (zh) * 2013-10-22 2014-01-29 德赛电子(惠州)有限公司 一种智能腕带及其自适应方法
CN203759644U (zh) * 2013-12-31 2014-08-06 潍坊歌尔电子有限公司 一种降低穿戴式电子设备功耗的装置以及穿戴式电子设备
US20140225730A1 (en) * 2013-09-11 2014-08-14 Christopher DePascale Wearable Personal Locator Device with Removal Indicator
CN104155897A (zh) * 2014-08-06 2014-11-19 广东欧珀移动通信有限公司 一种基于可穿戴智能设备的电器控制方法和电器控制装置

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6172640B1 (en) * 1999-06-18 2001-01-09 Jennifer Durst Pet locator
ATE434972T1 (de) * 2006-07-21 2009-07-15 Eta Sa Mft Horlogere Suisse Verfahren und armbandgerät zur pulsfrequenzermittlung
DE102006038438A1 (de) * 2006-08-16 2008-02-21 Keppler, Bernhard, Westport Vorrichtung, multifunktionales System und Verfahren zur Ermittlung medizinischer und/oder biometrischer Daten eines Lebewesens
WO2013014849A1 (ja) * 2011-07-26 2013-01-31 日本電気株式会社 画面検査装置、画面検査方法、及びプログラム
US8948832B2 (en) * 2012-06-22 2015-02-03 Fitbit, Inc. Wearable heart rate monitor
US9477313B2 (en) * 2012-11-20 2016-10-25 Samsung Electronics Co., Ltd. User gesture input to wearable electronic device involving outward-facing sensor of device
CN203136125U (zh) * 2013-04-09 2013-08-14 北京兴科迪科技有限公司 电容式距离感应切换控制的蓝牙耳机及装有该耳机的车辆
US9569625B2 (en) * 2013-06-11 2017-02-14 Google Inc. Wearable device multi-mode system
GB2516259A (en) * 2013-07-16 2015-01-21 Nokia Corp An apparatus, method and computer program for detecting physiological parameters
US9826400B2 (en) * 2014-04-04 2017-11-21 Qualcomm Incorporated Method and apparatus that facilitates a wearable identity manager
CN105915990B (zh) * 2016-05-25 2022-11-15 歌尔光学科技有限公司 一种虚拟现实头盔及其使用方法

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101410900A (zh) * 2006-03-24 2009-04-15 皇家飞利浦电子股份有限公司 用于可佩戴装置的数据处理
US20120184878A1 (en) * 2011-01-13 2012-07-19 Bijan Najafi Intelligent device to monitor and remind patients with footwear, walking aids, braces, or orthotics
US20140225730A1 (en) * 2013-09-11 2014-08-14 Christopher DePascale Wearable Personal Locator Device with Removal Indicator
CN103536279A (zh) * 2013-10-22 2014-01-29 德赛电子(惠州)有限公司 一种智能腕带及其自适应方法
CN203759644U (zh) * 2013-12-31 2014-08-06 潍坊歌尔电子有限公司 一种降低穿戴式电子设备功耗的装置以及穿戴式电子设备
CN104155897A (zh) * 2014-08-06 2014-11-19 广东欧珀移动通信有限公司 一种基于可穿戴智能设备的电器控制方法和电器控制装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109480806A (zh) * 2018-09-19 2019-03-19 歌尔科技有限公司 头戴设备及其穿戴装置,以及头戴设备的调节方法

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