WO2016109918A1 - 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
WO2016109918A1
WO2016109918A1 PCT/CN2015/070093 CN2015070093W WO2016109918A1 WO 2016109918 A1 WO2016109918 A1 WO 2016109918A1 CN 2015070093 W CN2015070093 W CN 2015070093W WO 2016109918 A1 WO2016109918 A1 WO 2016109918A1
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Prior art keywords
user
value
wearable device
distance
preset
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PCT/CN2015/070093
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English (en)
French (fr)
Inventor
李良
钱泽旭
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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 EP15876429.0A priority Critical patent/EP3231361A4/en
Priority to CN201580038648.0A priority patent/CN106659401A/zh
Priority to PCT/CN2015/070093 priority patent/WO2016109918A1/zh
Priority to US15/541,469 priority patent/US20180000418A1/en
Publication of WO2016109918A1 publication Critical patent/WO2016109918A1/zh

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6844—Monitoring or controlling distance between sensor and 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 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
    • A61B5/0205—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
    • A61B5/68—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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/6803—Head-worn items, e.g. helmets, masks, headphones or goggles
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/681—Wristwatch-type devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/029—Operational features adapted for auto-initiation
    • 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 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
    • A61B5/021—Measuring pressure in heart or blood vessels
    • 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 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
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • 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 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
    • A61B5/026—Measuring blood flow
    • A61B5/0285—Measuring or recording phase velocity of blood waves
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532—Measuring 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

Definitions

  • the present invention relates to the field of communications, and in particular, to a wearable device detecting method 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 wearable device is used to detect whether the wearable device is worn on the user. The sensor detects, but when the capacitive sensor is used, the capacitive sensor will fail when the metal object approaches the capacitive sensor, the detection success rate is low, and the other is detected by the visible light sensor, but the visible light sensor cannot recognize that the human body is close to wearable. The device or other objects are close to the wearable device, and the detection success rate is also low. If it is not possible to determine whether the wearable device is worn on the user, the wearable device cannot be used, causing inconvenience to the user.
  • the embodiment of the invention provides a wearable device detecting method and a wearable device, which can quickly and accurately determine whether the user has worn by detecting the value of the distance between the wearable device and the user and the physical characteristic value of the user. Wear the device.
  • an embodiment of the present invention provides a method for detecting a wearable device, including:
  • the method further includes:
  • the physical characteristic value of the user is detected according to the preset time period set.
  • the preset time period is set by a user.
  • 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 exceeds a preset distance threshold, if a value of a distance between the wearable device and the user does not exceed a preset distance threshold And controlling the human body characteristic sensor to detect a physical characteristic value of the user, and if the physical characteristic value of the user does not exceed a threshold range of the preset physical characteristic value of the user, determining that the user has worn The wearable device.
  • the processor invokes program code stored in the memory, and is further configured to perform the following operations:
  • the physical characteristic value of the user is detected according to the preset time period set.
  • the preset time period is set by a user.
  • the processor invokes program code stored in the memory, and is further configured to perform the following operations:
  • the processor invokes program code stored in the memory, and is further configured to 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 detecting method and the wearable device of the embodiment of the present invention may first detect a value of a distance between the wearable device and the user, and if the value of the distance between the wearable device and the user does not exceed a preset distance threshold, And detecting whether the physical characteristic value of the user exceeds the threshold range. If the threshold range is not exceeded, determining that the user has worn the wearable device, determining that the user has worn by combining the value of the distance between the wearable device and the user and the physical characteristic value of the user.
  • the wearable device can accurately detect whether the human body wears the wearable device, and the detection accuracy is high.
  • the embodiment of the present invention first detects the value of the distance between the wearable device and the user, and does not simultaneously detect the physical feature value. It can avoid prolonging the detection time at the time of simultaneous detection, and if the distance between the wearable device and the user exceeds the preset distance threshold, the user's physical characteristic value can be eliminated, and the detection process is optimized. Therefore, the embodiment of the present invention can determine whether the user has worn the wearable device more quickly and accurately than the prior art.
  • 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.
  • S102 Determine whether a value of a distance between the wearable device and the user exceeds a preset distance threshold.
  • 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 cm from the user.
  • the value is equal to the preset distance threshold. For example, if the value of the distance between the wearable device and the user is 2.5 cm, the value is greater than the preset distance threshold.
  • the wearable device acquires a physical feature value of the user by using a human body feature sensor, where the physical characteristic value of the user includes: a body temperature value, a heart rate One or more of a value, a blood sugar level, a blood pressure value, and a blood flow rate value, for example, the wearable device acquires a user's body temperature value through a temperature sensor in the body characteristic sensor, or acquires the user's body value through a heart rate sensor in the body characteristic sensor The heart rate value, or the blood flow rate value of the user is obtained by the human body characteristic sensor.
  • body characteristic values such as blood sugar level and blood pressure value may also be acquired by the human body characteristic sensor. Both can reflect the user's physical state and these physical feature values are relatively easy to obtain.
  • 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 user's physical feature value is detected, if the value of the distance between the wearable device and the user exceeds the preset.
  • the distance threshold directly determines that the wearable device is not worn by the user.
  • the physical feature value of the user exceeds a preset threshold value of the physical feature value of the user, and it is determined 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 may first detect a value of a distance between the wearable device and the user, and if the value of the distance between the wearable device and the user does not exceed a preset distance threshold, And detecting whether the physical characteristic value of the user exceeds the threshold range. If the threshold range is not exceeded, determining that the user has worn the wearable device, determining that the user has worn by combining the value of the distance between the wearable device and the user and the physical characteristic value of the user.
  • the wearable device can accurately detect whether the human body wears the wearable device, and the detection accuracy is high.
  • the embodiment of the present invention first detects the value of the distance between the wearable device and the user, and does not simultaneously detect the physical feature value. It can avoid prolonging the detection time at the time of simultaneous detection, and if the value of the distance between the wearable device and the user exceeds the preset distance threshold, the detection of the physical characteristic value of the user is not necessary, and the detection process is optimized. Compared with the prior art, the embodiment of the present invention can determine whether the user has worn the wearable device more quickly and accurately.
  • 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 proximity sensor through the distance sensor or the proximity 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 sensors in the examples include: proximity light sensors, linear proximity sensors, ultrasonic displacement sensors, and the like.
  • S202 Determine whether a value of a distance between the wearable device and the user exceeds a preset distance threshold.
  • 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 cm from the user.
  • the value is equal to the preset distance threshold. For example, if the value of the distance between the wearable device and the user is 2.5 cm, the value is greater than the preset distance threshold.
  • the wearable device acquires a physical feature value of the user by using a human body feature sensor, where the physical characteristic value of the user includes: a body temperature value, a heart rate One or more of a value, a blood glucose value, a blood pressure value, and a blood flow rate value.
  • the wearable device acquires the user's body temperature 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 present
  • body characteristic values such as blood glucose levels and blood pressures 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 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 user's physical feature value is detected, if the value of the distance between the wearable device and the user exceeds the preset.
  • the distance threshold directly determines that the wearable device is not worn by the user.
  • the physical feature value of the user exceeds a preset threshold value of the physical feature value of the user, and it is determined that the wearable device is not worn by the user.
  • the wearable device detects a physical characteristic value of the user according to the preset preset time period.
  • the user may set a preset time period, and the physical feature value of the user is detected according to the preset preset time period, where the preset time period includes: 5-10 minutes. If the user has worn the wearable device and removed it, there is no need to re-detect the distance between the wearable device and the user. Only the physical characteristic value of the user needs to be detected, and real-time detection is not required, and only needs to be detected every 5-10 minutes. The user's physical characteristic value can quickly and accurately determine whether the user wears the wearable device.
  • the wearable device detecting method and the wearable device of the embodiment of the present invention may first detect a value of a distance between the wearable device and the user, and if the value of the distance between the wearable device and the user does not exceed a preset distance threshold, And detecting whether the physical characteristic value of the user exceeds the threshold range. If the threshold range is not exceeded, determining that the user has worn the wearable device, determining that the user has worn by combining the value of the distance between the wearable device and the user and the physical characteristic value of the user.
  • the wearable device can accurately detect whether the human body wears the wearable device, and the detection accuracy is high.
  • the embodiment of the present invention first detects the value of the distance between the wearable device and the user, and does not simultaneously detect the physical feature value. It can avoid prolonging the detection time at the time of simultaneous detection, and if the value of the distance between the wearable device and the user exceeds the preset distance threshold, the detection of the physical characteristic value of the user is not necessary, and the detection process is optimized. Compared with the prior art, the embodiment of the present invention can determine whether the user has worn the wearable device more quickly and accurately.
  • 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 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, etc., and the distance sensor 306 may include: a proximity sensor, a linear proximity sensor, and an ultrasonic displacement.
  • the communication bus 302 is used to implement 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:
  • the distance sensor 306 is configured to detect a value of a distance between the wearable device and the user;
  • the human body characteristic sensor 305 is configured to detect a physical feature value of the user
  • the processor 301 is configured to determine whether a value of a distance between the wearable device and the user exceeds a preset distance threshold, if a value of the distance between the wearable device and the user does not exceed a preset value.
  • the distance threshold is controlled to detect the body feature value of the user. If the body feature value of the user does not exceed a threshold range of the preset user's body feature value, it is determined that the user has worn the wearable device.
  • 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 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 of 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, and if the value of the distance between the wearable device and the user is 2 cm, then the value is 2 cm.
  • the value is equal to the preset distance threshold. For example, if the value of the distance between the wearable device and the user is 2.5 cm, the value is greater than the preset distance threshold.
  • 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 of 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, and if the value of the distance between the wearable device and the user is 2 cm, then the value is 2 cm.
  • the value is equal to the preset distance threshold. For example, if the value of the distance between the wearable device and the user is 2.5 cm, the value is greater than the preset distance threshold.
  • processor 301 invoking the program code stored in the memory 304 may also perform the following operations:
  • the physical characteristic value of the user is detected according to the preset time period set.
  • the wearable device detects the physical feature value of the user according to a preset time period of the user, wherein the preset time period of the user includes: 5-10 minutes, if the user has worn the wearable device. When it is removed, it is not necessary to re-detect the distance between the wearable device and the user. It only needs to detect the physical feature value of the user, and does not need real-time detection. It only needs to be detected every 5-10 minutes. The user's physical characteristic value can quickly and accurately determine whether the user wears the wearable device.
  • processor 301 invoking the program code stored in the memory 304 may also perform the following operations:
  • the preset time period is set by a user.
  • 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.
  • 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 acquires a physical feature value of the user by using a human body feature sensor, where the physical characteristic value of the user includes: a body temperature value, a heart rate One or more of a value, a blood sugar level, a blood pressure value, and a blood flow rate value, for example, the wearable device acquires a user's body temperature value through a temperature sensor in the body characteristic sensor, or acquires the user's body value through a heart rate sensor in the body characteristic sensor The heart rate value, or the blood flow rate value of the user is obtained by the human body characteristic sensor.
  • body characteristic values such as blood sugar level and blood pressure value may also be acquired by the human body characteristic sensor. All It can reflect the physical state of the user and these physical feature values are relatively easy to obtain.
  • 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 characteristic value exceeds the preset user's physical characteristics.
  • the threshold range of the value 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 as 75 times per minute, then the user's body
  • the feature value does not exceed the threshold range of the preset user's physical feature 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 When it is 8 ml/min/100 g, the user's physical characteristic value does not exceed the threshold range of the preset 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 user's physical feature value is detected, if the value of the distance between the wearable device and the user exceeds the preset.
  • the distance threshold directly determines that the wearable device is not worn by the user.
  • the physical feature value of the user exceeds a preset threshold value of the physical feature value of the user, and it is determined 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 may first detect a value of a distance between the wearable device and the user, and if the value of the distance between the wearable device and the user does not exceed a preset distance threshold, And detecting whether the physical characteristic value of the user exceeds the threshold range. If the threshold range is not exceeded, determining that the user has worn the wearable device, determining that the user has worn by combining the value of the distance between the wearable device and the user and the physical characteristic value of the user.
  • the wearable device can accurately detect whether the human body wears the wearable device, and the detection accuracy is high.
  • the embodiment of the present invention first detects the value of the distance between the wearable device and the user, and does not simultaneously detect the physical feature value. It can avoid prolonging the detection time at the time of simultaneous detection, and if the value of the distance between the wearable device and the user exceeds the preset distance threshold, the detection of the physical characteristic value of the user is not necessary, and the detection process is optimized. Compared with the prior art, the embodiment of the present invention can determine whether the user has worn the wearable device more quickly and accurately.
  • first execution unit and second execution unit do not represent a sequential relationship, but rather to distinguish different execution units.
  • first detection unit and the second detection unit are for indicating no The same detection unit will not be described here.
  • 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

公开了一种可穿戴设备的检测方法，包括：检测可穿戴设备与用户之间的距离的值（S101）；确定可穿戴设备与用户之间的距离的值是否超过预设的距离阈值（S102）；若可穿戴设备与用户之间的距离的值没有超过预设的距离阈值，则在预设时间周期内检测用户的身体特征值（S103）；若用户的身体特征值没有超出预设的身体特征值的阈值范围，则确定用户已佩戴可穿戴设备（S104）。还公开了一种可穿戴设备。该可穿戴设备的检测方法及可穿戴设备，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。

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，现有技术中，主要通过以下两种方式来检测可穿戴设备是否已穿戴在用户身上，一种是使用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，检测成功率较低，另一种是通过可见光传感器进行检测，但可见光传感器无法识别是人体靠近可穿戴设备还是其它物体靠近可穿戴设备，检测成功率也较低。若无法确定可穿戴设备是否已穿戴用户身上，就无法使用可穿戴设备，为用户造成不便。
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已佩戴可穿戴设备。
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；
确定所述可穿戴设备与所述用户之间的距离的值是否超过预设的距离阈值；
若所述可穿戴设备与用户之间的距离的值没有超过预设的距离阈值，则检测用户的身体特征值；
若所述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，则确定用户已佩戴所述可穿戴设备。
结合第一方面，在第一方面的第一种可能的实现方式中，所述确定用户已 佩戴所述可穿戴设备之后，还包括：
设置预设时间周期；
按照所述设置的预设时间周期，检测用户的身体特征值。
结合第一方面的第一种可能的实现方式，在第一方面的第二种可能的实现方式中，所述预设时间周期由用户设置。
结合第一方面，在第一方面的第三种可能的实现方式中，
若所述可穿戴设备与所述用户之间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。
结合第一方面，在第一方面的第四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，在第一方面的第六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，在第一方面的第七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所述用户之间的距离的值是否超过预设的距离阈值，若所述可穿戴设备与用户之间的距离的值没有超过预设的距离阈值，则控制所述人体特征传感器检测用户的身体特征值，若所述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，则确定用户已佩戴 所述可穿戴设备。
结合第二方面，在第二方面的第一种可能的实现方式中，所述处理器调用所述存储器中存储的程序代码，还用于执行以下操作：
设置预设时间周期；
按照所述设置的预设时间周期，检测用户的身体特征值。
结合第二方面的第一种可能的实现方式，在第二方面的第二种可能的实现方式中，所述预设时间周期由用户设置。
结合第二方面，在第二方面的第三种可能的实现方式中，所述处理器调用所述存储器中存储的程序代码，还用于执行以下操作：
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。
结合第二方面，在第二方面的第四种可能的实现方式中，所述处理器调用所述存储器中存储的程序代码，还用于执行以下操作：
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。
结合第二方面至第二方面第四种可能的实现方式中任一种，在第二方面的第五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，可先检测可穿戴设备与用户之间的距离的值，若可穿戴设备与用户之间的距离的值未超过预设的距离阈值，再检测用户的身体特征值是否超出阈值范围，若未超出阈值范围，则确定用户已佩戴可穿戴设备，通过可穿戴备与用户之间的距离的值与用户身体特征值相结合确定用户已佩戴可穿戴设备，可准确识别是否是人体佩戴可穿戴设备，检测准确率高，另外，本发明实施例先对可穿戴设备与用户之间的距离的值进行检测，而不同时检测身体特征值，可避免同时检测时延长检测的时间，并且，若可穿戴设备与用户之间的距离..的值超过预设的距离阈值，就可不必再进行用户的身体特征值的检测，优化了检测流程，因此，本发明实施例相对于现有技术，可更快速、准确地确定用户是否已佩戴可穿戴设备。
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、确定可穿戴设备与用户之间的距离的值是否超过预设的距离阈值。
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厘米，则该值等于预设距离阈值，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。
S103、若可穿戴设备与用户之间的距离的值没有超过预设的距离阈值，则检测用户的身体特征值。
具体的，可穿戴设备与用户之间的距离的值没有超过预设的距离阈值时，可穿戴设备通过人体特征传感器获取用户的身体特征值，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，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。
S104、若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，则确定用户已佩戴所述可穿戴设备。
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。
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时，才进行用户身体特征值的检测，如果可穿戴设备与用户之间的距离的值超出预设的距离阈值，则直接确定可穿戴设备未被用户佩戴，当然，用户的身体特征值超出预设的用户的身体特征值的阈值，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，可先检测可穿戴设备与用户之间的距离的值，若可穿戴设备与用户之间的距离的值未超过预设的距离阈值，再检测用户的身体特征值是否超出阈值范围，若未超出阈值范围，则确定用户已佩戴可穿戴设备，通过可穿戴备与用户之间的距离的值与用户身体特征值相结合确定用户已佩戴可穿戴设备，可准确识别是否是人体佩戴可穿戴设备，检测准确率高，另外，本发明实施例先对可穿戴设备与用户之间的距离的值进行检测，而不同时检测身体特征值，可避免同时检测时延长检测的时间，并且，若可穿戴设备与用户之间的距离的值超过预设的距离阈值，就可不必再进行用户的身体特征值的检测，优化了检测流程，因此，本发明实施例相对于现有技术，可更快速、准确地确定用户是否已佩戴可穿戴设备。
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、确定可穿戴设备与用户之间的距离的值是否超过预设的距离阈值。
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厘米，则该值等于预设距离阈值，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。
S203、若可穿戴设备与用户之间的距离的值没有超过预设的距离阈值，则检测用户的身体特征值。
具体的，可穿戴设备与用户之间的距离的值没有超过预设的距离阈值时，可穿戴设备通过人体特征传感器获取用户的身体特征值，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。
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，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。
S204、若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，则确定用户已佩戴所述可穿戴设备。
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。
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时，才进行用户身体特征值的检测，如果可穿戴设备与用户之间的距离的值超出预设的距离阈值，则直接确定可穿戴设备未被用户佩戴，当然，用户的身体特征值超出预设的用户的身体特征值的阈值，确定可穿戴设备未被用户佩戴。
S205、可穿戴设备按照所述设置的预设时间周期，检测用户的身体特征值。
具体的，可穿戴设备在确定用户已佩戴后，用户可设置预设时间周期，按照所述设置的预设时间周期，检测用户的身体特征值，其中，预设时间周期包括：5-10分钟，如果用户已佩戴可穿戴设备又摘下时，不需要重新检测可穿戴设备与用户之间的距离，只需要检测用户的身体特征值，不需要实时检测，只需要每隔5-10分钟检测用户的身体特征值，就可快速、准确的确定用户是否佩戴可穿戴设备。
本发明实施例的可穿戴设备检测方法及可穿戴设备，可先检测可穿戴设备与用户之间的距离的值，若可穿戴设备与用户之间的距离的值未超过预设的距离阈值，再检测用户的身体特征值是否超出阈值范围，若未超出阈值范围，则确定用户已佩戴可穿戴设备，通过可穿戴备与用户之间的距离的值与用户身体特征值相结合确定用户已佩戴可穿戴设备，可准确识别是否是人体佩戴可穿戴设备，检测准确率高，另外，本发明实施例先对可穿戴设备与用户之间的距离的值进行检测，而不同时检测身体特征值，可避免同时检测时延长检测的时间，并且，若可穿戴设备与用户之间的距离的值超过预设的距离阈值，就可不必再进行用户的身体特征值的检测，优化了检测流程，因此，本发明实施例相对于现有技术，可更快速、准确地确定用户是否已佩戴可穿戴设备。
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：
所述距离传感器306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305用于检测所述用户的身体特征值；
所述处理器301用于确定所述可穿戴设备与所述用户之间的距离的值是否超过预设的距离阈值，若所述可穿戴设备与用户之间的距离的值没有超过预设的距离阈值，则控制所述人体特征传感器检测用户的身体特征值，若所述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，则确定用户已佩戴所述可穿戴设备。
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厘米，则该值等于预设距离阈值，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。
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厘米，则该值等于预设距离阈值，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。
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：
设置预设时间周期；
按照所述设置的预设时间周期，检测用户的身体特征值。
具体的，可穿戴设备在确定用户已佩戴后，按照用户预先设置的时间周期，检测用户的身体特征值，其中，用户可预设时间周期包括：5-10分钟，如果用户已佩戴可穿戴设备又摘下时，不需要重新检测可穿戴设备与用户之间的距离，只需要检测用户的身体特征值，不需要实时检测，只需要每隔5-10分钟检测 用户的身体特征值，就可快速、准确的确定用户是否佩戴可穿戴设备。
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：
所述预设时间周期由用户设置。
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所述用户之间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。
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。
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，可穿戴设备与用户之间的距离的值没有超过预设的距离阈值时，可穿戴设备通过人体特征传感器获取用户的身体特征值，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，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。
应当理解，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。
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时，才进行用户身体特征值的检测，如果可穿戴设备与用户之间的距离的值超出预设的距离阈值，则直接确定可穿戴设备未被用户佩戴，当然，用户的身体特征值超出预设的用户的身体特征值的阈值，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，可先检测可穿戴设备与用户之间的距离的值，若可穿戴设备与用户之间的距离的值未超过预设的距离阈值，再检测用户的身体特征值是否超出阈值范围，若未超出阈值范围，则确定用户已佩戴可穿戴设备，通过可穿戴备与用户之间的距离的值与用户身体特征值相结合确定用户已佩戴可穿戴设备，可准确识别是否是人体佩戴可穿戴设备，检测准确率高，另外，本发明实施例先对可穿戴设备与用户之间的距离的值进行检测，而不同时检测身体特征值，可避免同时检测时延长检测的时间，并且，若可穿戴设备与用户之间的距离的值超过预设的距离阈值，就可不必再进行用户的身体特征值的检测，优化了检测流程，因此，本发明实施例相对于现有技术，可更快速、准确地确定用户是否已佩戴可穿戴设备。
应当理解，上述第一执行单元和第二执行单元并不是表示顺序关系，而是为了区别不同的执行单元。同理，第一检测单元、第二检测单元是为了表示不 同的检测单元，在此不再赘述。
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 (14)

  1. 一种可穿戴设备的检测方法，其特征在于，包括：
    检测可穿戴设备与用户之间的距离的值；
    确定所述可穿戴设备与所述用户之间的距离的值是否超过预设的距离阈值；
    若所述可穿戴设备与用户之间的距离的值没有超过预设的距离阈值，则检测用户的身体特征值；
    若所述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，则确定用户已佩戴所述可穿戴设备。
  2. 如权利要求1所述的方法，其特征在于，所述确定用户已佩戴所述可穿戴设备之后，还包括：
    设置预设时间周期；
    按照所述设置的预设时间周期，检测用户的身体特征值。
  3. 如权利要求2所述的方法，其特征在于，所述预设时间周期由用户设置。
  4. 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所述用户之间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。
  5. 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。
  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。
  7. 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。
  8. 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。
  9. 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所述用户之间的距离的值是否超过预设的距离阈值，若所述可穿戴设备与用户之间的距离的值没有超过预设的距离阈值，则控制所述人体特征传感器检测用户的身体特征值，若所述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，则确定用户已佩戴所述可穿戴设备。
  10. 如权利要求9所述的可穿戴设备，其特征在于，所述处理器还用于：
    设置预设时间周期；
    按照所述设置的预设时间周期，检测用户的身体特征值。
  11. 如权利要求10所述的可穿戴设备，其特征在于，所述预设时间周期由用户设置。
  12. 如权利要求9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。
  13. 如权利要求9所述的可穿戴设备，其特征在于，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。
  14. 如权利要求9至13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/CN2015/070093 2015-01-05 2015-01-05 一种可穿戴设备的检测方法及可穿戴设备 WO2016109918A1 (zh)

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