WO2016037354A1 - Dispositif vestimentaire et procédé d'acquisition de données de celui-ci - Google Patents

Dispositif vestimentaire et procédé d'acquisition de données de celui-ci Download PDF

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Publication number
WO2016037354A1
WO2016037354A1 PCT/CN2014/086407 CN2014086407W WO2016037354A1 WO 2016037354 A1 WO2016037354 A1 WO 2016037354A1 CN 2014086407 W CN2014086407 W CN 2014086407W WO 2016037354 A1 WO2016037354 A1 WO 2016037354A1
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Prior art keywords
wearable device
user
worn
wearing
detection data
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PCT/CN2014/086407
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English (en)
Chinese (zh)
Inventor
赵阳
王雅辉
郜文美
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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/CN2014/086407 priority Critical patent/WO2016037354A1/fr
Publication of WO2016037354A1 publication Critical patent/WO2016037354A1/fr

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    • A—HUMAN NECESSITIES
    • A44—HABERDASHERY; JEWELLERY
    • A44C—PERSONAL ADORNMENTS, e.g. JEWELLERY; COINS
    • A44C5/00—Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps

Definitions

  • the present invention relates to the field of communications, and in particular, to a data acquisition method of 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 or accessories. Wearable devices are more than just a hardware device. They also implement powerful functions through software support, data interaction, and cloud interaction. Wearable devices will make a big difference in our lives and perceptions.
  • the advantage of the smart bracelet relative to the mobile phone is that it can be worn close to the body.
  • the current smart bracelet is worn by default 24 hours, but when the user is not wearing it (for example, take it off the table) Idle on), the smart bracelet is still working, so the statistics collected are not accurate enough. It can be seen that the current smart bracelet can not collect intelligent data according to the user's usage, which will result in inaccurate statistical data and power consumption.
  • the embodiment of the invention provides a data acquisition method for a wearable device and a wearable device, which can improve the accuracy of data analysis, and is more accurate for the daily statistics of the user's daily exercise and health, and can improve the user well. Experience.
  • a first aspect of the present invention provides a data acquisition method of a wearable device, the method comprising: a method for acquiring data of a wearable device, wherein the method includes: detecting whether the wearable device is worn by a user; The wearable device wears the detection data of the time period in the predetermined time period, wherein the wearing time period is a time period in which the wearable device is worn by the user, and the detection data is data related to the user's physical sign; according to the detecting The data was statistically analyzed.
  • the detecting whether the wearable device is worn by the user to detect whether the buckle of the wearable device is buckled includes:
  • detecting whether the wearable device is worn by a user includes:
  • the wearable device is not worn by the user; otherwise, the wearable device is determined to be worn by the user.
  • detecting whether the wearable device is worn by a user includes: detecting that a buckle of the wearable device is engaged, and determining the wearable device If the user-specific physical information is sensed within a preset time, it is determined that the wearable device is worn by the user; otherwise, the wearable device is determined not to be worn by the user.
  • the detection data of the wearing period of the wearable device in a predetermined time period is acquired, specifically The method includes: determining a wearing period of the wearing device or a period of not wearing; collecting detection data of the wearing period of the wearing device in the predetermined time period; or collecting the wearing device in the predetermined time period All the data is deleted, the data of the wearable device not wearing the time period in the predetermined time period is deleted, thereby acquiring the detection data of the wearing period of the wearing device in the predetermined time period.
  • the data related to the user logo includes: sleep detection data, heart rate detection data, At least one of blood glucose blood pressure detecting data, body temperature detecting data, motion detecting data, pulse detecting data, and light information sensed by a user.
  • the user specific physical information includes: pulse information, blood pressure information, body temperature information, and heart rate At least one of the information.
  • a wearable device in a second aspect, includes a detection module, an acquisition module, and an analysis module, and the detection module is configured to detect whether the wearable device is worn by a user;
  • the acquiring module is configured to acquire the detection data of the wearing period of the wearable device in a predetermined time period, where the wearing time period is a time period in which the wearing device is worn by the user, and the detection data is a user
  • the data related to the physical examination; the analysis module is configured to perform statistical analysis according to the detection data, and obtain an analysis result.
  • the detecting module is configured to detect whether the wearable device is worn by a user, and specifically includes: the detecting module, detecting whether a buckle of the wearable device is Being engaged, wherein the receiving device is determined to be worn by the user if receiving the connection signal that the buckle is engaged; otherwise, determining that the wearing device is not worn by the user.
  • the detecting module is configured to detect whether the wearable device is worn by a user, and the method includes: the detecting module determines whether the wearable device senses a user The specific physical information indicates that the wearable device is not worn by the user if the user-specific physical information is not sensed within a preset time; otherwise, the wearable device is determined to be worn by the user.
  • the detecting module is configured to detect whether the wearable device is worn by a user, and specifically includes: the detecting module, detecting that a buckle of the wearable device is If the wearable device senses the user-specific physical information in a preset time, it is determined that the wearable device is worn by the user; otherwise, the wearable device is determined not to be worn by the user.
  • the acquiring module acquiring the wearing period of the wearing device in a predetermined time period
  • the detecting data includes: the obtaining module, determining a wearing period of the wearing device or a period of not wearing; the acquiring module, collecting the detecting period of the wearing period of the wearing device in the predetermined time period Data; or the acquiring module, collecting all the data of the wearable device in the predetermined time period, deleting data of the worn time period of the wearable device in the predetermined time period, thereby acquiring the wearable device
  • the detection data of the time period is worn in the predetermined time period.
  • the data related to the user logo includes: sleep detection data, heart rate detection data, At least one of blood glucose blood pressure detecting data, body temperature detecting data, motion detecting data, pulse detecting data, and light information sensed by a user.
  • the user specific physical information includes: pulse information, blood pressure information, body temperature information, and heart rate At least one of the information.
  • a wearable device comprising a processor and a sensor component, the processor being coupled to the sensor component via a data bus, the sensor component detecting whether the wearable device is worn by a user a signal, the processor determining, according to the wearing signal, whether the wearable device is worn by a user, and acquiring a time period of wearing the wearable device in a predetermined time period
  • the measurement data wherein the wearing period is a time period in which the wearable device is worn by a user, the detection data is data related to a user's physical sign; and the processor performs statistical analysis according to the detected data.
  • the wearing signal is that the sensor component senses a connection signal of a buckle of the wearable device being buckled, and the processor is configured according to the The connection signal determines that the wearable device is worn by a user; otherwise, it is determined that the wearable device is not worn by a user.
  • the wearing signal is user specific physical information sensed by the sensor component
  • the processor determines the according to the user specific characteristic signal Whether the wearable device is worn by the user, if the sensor component does not sense the specific vital information within a preset time, the processor determines that the wearable device is not worn by the user; otherwise, the processor determines The wearable device is worn by the user.
  • the wearing signal is that the sensor component detects a connection signal that the buckle of the wearable device is engaged and within the preset time Sensing user-specific vital information, the processor determining, according to the connection signal and the user-specific feature signal, that the wearable device is worn by a user; otherwise, determining that the wearable device is not worn by a user.
  • the processor acquires the wearing period of the wearable device in a predetermined time period Detecting data, including: the processor, determining a wearing period of the wearing device or a period of non-wearing, and collecting detection data of the wearing period of the wearing device in the predetermined time period; or
  • the processor collects all the detection data of the wearable device in the predetermined time period, and deletes the detection data of the wearable device that is not worn in the predetermined time period.
  • the data related to the user logo includes: sleep detection data, heart rate detection data, At least one of blood glucose blood pressure detecting data, body temperature detecting data, motion detecting data, pulse detecting data, and light information sensed by a user.
  • the processor determines that the wearable device is not worn, and then closes the Sensor assembly.
  • the user specific physical information includes: pulse information, blood pressure information, body temperature information, and heart rate At least one of the information.
  • the method and the wearable device of the embodiment of the present invention improve the validity of the detection data by acquiring the detection data of the wearing period of the wearing device in the predetermined time period, so that the analysis is performed according to the detection data.
  • the result is more accurate and effectively enhances the user experience.
  • FIG. 1 is a flowchart of a method for acquiring data of a wearable device according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of a first detection circuit according to an embodiment of the present invention.
  • FIG. 3 is a schematic diagram of a second detection circuit according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of functional modules of a wearable device according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of hardware of a wearable device according to an embodiment of the present invention.
  • the embodiment of the invention provides a data acquisition method for the wearable device and the wearable device, so that the data statistics of the user's daily exercise and health are more accurate.
  • This embodiment describes the data acquisition method of the wearable device in detail.
  • FIG. 1 a data acquisition method of a wearable device
  • the method includes: detecting whether the wearing device is worn by a user; acquiring detection data of the wearing period of the wearing device in a predetermined time period, wherein the wearing time period is a time period in which the wearing device is worn by a user
  • the detection data is data related to the user's physical signs; and statistical analysis is performed according to the detection data.
  • the method for acquiring the detection data of the wearable device according to the embodiment of the present invention is obtained by acquiring the wearable device
  • the detection data of the time period is worn in the time period, and the validity of the detection data is improved, so that the analysis result according to the detection data is more accurate, and the user experience is effectively improved.
  • the data related to the user's sign includes at least one of sleep detection data, heart rate detection data, blood sugar blood pressure detection data, body temperature detection data, motion detection data, pulse detection data, and light information sensed by a user.
  • the user specific vital sign information includes at least one of pulse information, blood pressure information, body temperature information, and heart rate information.
  • the method includes: detecting whether the buckle of the wearable device is buckled to determine whether the wearable device is worn by a user, wherein if the connection signal of the buckle is buckled, the wearable device is determined to be worn by the user; otherwise Determining that the wearable device is not worn by a user.
  • FIG. 2 is a schematic diagram of a first detection circuit according to an embodiment of the present invention.
  • the first detection circuit includes: a microcontroller MCU, and a general-purpose input/output GPIO connected in series with a plurality of MCUs (General Purpose). Input Output), one end of the GPIO is grounded through a switch, and the other end of the GPIO is connected to the power source VCC through a pull-up resistor.
  • a microcontroller MCU and a general-purpose input/output GPIO connected in series with a plurality of MCUs (General Purpose). Input Output), one end of the GPIO is grounded through a switch, and the other end of the GPIO is connected to the power source VCC through a pull-up resistor.
  • the switch When the buckle is engaged, the switch is closed, the GPIO pin is grounded, and a low level is output to the MCU; when the buckle is opened, the switch is turned off, and the GPIO passes The pull-up resistor is enabled and outputs a high level to the MCU.
  • the second detecting circuit it may be detected by the second detecting circuit whether the buckle of the wearing device is buckled.
  • FIG. 3 is a schematic diagram of a second detection circuit according to an embodiment of the present invention.
  • the second detecting circuit may include: a Hall sensor, a magnet adjacent to the Hall sensor, a second GPIO and a second MCU 23, and the Hall sensor passes through the second GPIO 22 and the second MCU
  • the Hall sensor is grounded at one end and connected to the power supply at the other end.
  • the Hall sensor When the buckle is engaged, the Hall sensor is close to the magnet, and a low level is output to the MCU. When the buckle is opened, the Hall sensor is away from the magnet, and a high level is output to the MCU. .
  • the method for determining whether the buckle of the wearable device is buckled is not limited to the embodiment of the present invention, and the foregoing solution is merely for convenience of understanding.
  • the wearable device determines that the wearable device is not used The user wears; otherwise, it is determined that the wearable device is not worn by the user.
  • the wearable device may determine whether the wearable device is worn by a user by sensing a user's heart rate, temperature, or a change in light generated after wearing the device.
  • the detection method is not limited to this.
  • the particular subject information sensed may also be one or more combinations.
  • a certain time threshold such as 2s
  • the detection method of the above sensor may be a combination of one or more, which can increase the accuracy of detection. .
  • detecting that the buckle of the wearable device is engaged, and determining that the wearable device senses user specific physical information within a preset time determining that the wearable device is worn by a user; otherwise, determining the The wearable device is not worn by the user.
  • the specific manner in which the user-specific physical information is sensed is applicable to the above example, and will not be described here. Simultaneously detecting the snap-on state of the wearable device and detecting the user-specific physical information, the detection of the accurate determination of the user wearing the wearable device is enhanced, so that the detection data of the wearable device is acquired more accurately.
  • the wearing period is a period of time when the wearing device is worn by the user, and the detection data is data related to the user's physical signs.
  • the step of acquiring the detection data of the wearing period of the wearable device in the predetermined time period specifically includes: determining a wearing period of the wearing device or a period of not wearing;
  • all the data of the wearable device in the predetermined time period may also be collected, and the The wearable device does not wear the data of the time period in the predetermined time period, and the data remaining after deleting the data of the unworn time period in all the data is used as the detection data.
  • the method further includes: if detecting that the wearable device is not worn by the user , the sensor that collects the detection data is turned off, and the detection data is not collected.
  • the sensor that detects the data when detecting that the user does not wear the wearable device, the sensor that detects the data is turned off, and the power consumption of the wearable device is saved.
  • the wearable device can perform healthy sleep analysis, heart rate analysis, blood pressure stability analysis, exercise amount analysis, and the like according to the above-mentioned detection data, so that the user can monitor the physical health condition according to the analysis result of the accurate data.
  • the method for acquiring the detection data of the wearable device in the embodiment of the present invention improves the validity of the detection data by acquiring the detection data of the wearing period of the wearable device in the predetermined time period, so that the analysis result according to the detection data is more accurate and effective. Improve the user experience.
  • FIG. 4 is a schematic diagram of functional modules of a wearable device according to an embodiment of the present invention.
  • the wearable device 100 includes a detection module 101, an acquisition module 102, and an analysis module 103, and the detection module 101 is configured to detect whether the wearable device is worn by a user;
  • the obtaining module 102 is configured to acquire the detection data of the wearing period of the wearable device in a predetermined time period, where the wearing time period is a time period in which the wearing device is worn by the user, and the detection data is User identification related data;
  • the analyzing module 103 is configured to perform statistical analysis according to the detection data to obtain an analysis result.
  • the data related to the user logo includes: at least one of sleep detection data, heart rate detection data, blood glucose blood pressure detection data, body temperature detection data, motion detection data, pulse detection data, and light information sensed by a user.
  • the user specific vital sign information includes at least one of pulse information, blood pressure information, body temperature information, and heart rate information.
  • the detecting module 101 detects whether the wearable device is worn by the user, and may detect whether the buckle of the wearable device is buckled, and if the detecting module 101 receives the connected connection of the buckle The signal determines that the wearable device is worn by the user; otherwise, determining the wearable device Not worn by the user.
  • the detecting module 101 may determine whether the wearable device senses user specific physical information, and determines whether the wearable device is worn by a user.
  • the wearable device is not worn by the user; otherwise, the wearable device is determined not to be worn by the user.
  • the wearable device may determine whether the wearable device is worn by a user by sensing a user's heart rate, temperature, or a change in light generated after wearing the device.
  • the detection method is not limited to this.
  • the particular subject information sensed may also be one or more combinations.
  • a certain time threshold such as 2s
  • the detection method of the above sensor may be a combination of one or more, which can increase the accuracy of detection.
  • the detecting module 101 is configured to detect whether the wearable device is worn by the user, and the method includes: the detecting module 101 detects that the buckle of the wearable device is buckled, and determines that the wearable device is at a preset time. If the user-specific physical information is sensed, it is determined that the wearable device is worn by the user; otherwise, the wearable device is determined not to be worn by the user.
  • the specific manner in which the user-specific physical information is sensed is applicable to the above example, and will not be described here.
  • the obtaining module 102 the acquiring the detection data of the wearing period of the wearable device in the predetermined time period, specifically includes: the obtaining module 102 determining the wearing period or the unworn period of the wearing device; collecting the wearing The device wears data of the time period as the detection data in the predetermined time period;
  • the acquiring module 102 may also collect all the data of the wearable device in the predetermined time period, and delete data of the wearable device that is not worn in the predetermined time period, and all data is The data remaining after the data of the unworn period is deleted is used as the detection data.
  • the detecting module 101 detects that the wearing device is not worn by the user, the sensor that collects the detection data is closed, and the detection data is not collected.
  • the sensor that detects the data when detecting that the user does not wear the wearable device, the sensor that detects the data is turned off, and the power consumption of the wearable device is saved.
  • the wearable device can perform healthy sleep analysis, heart rate analysis, blood pressure stability analysis, exercise amount analysis, and the like according to the above-mentioned detection data, so that the user can monitor the physical health condition according to the analysis result of the accurate data.
  • the wearable device of the embodiment of the present invention improves the validity of the detection data by acquiring the detection data of the wearing period of the wearable device in the predetermined time period, so that the analysis result according to the detection data is more accurate, and the user experience is effectively improved.
  • the present embodiment is a wearable device 200 that acquires detection data based on the first embodiment, and the wearable device 200 can perform at least the method of the above embodiment.
  • FIG. 5 is a schematic structural diagram of hardware of a wearable device according to an embodiment of the present invention.
  • the wearable device 200 includes a processor 201, a sensor component 202, and the processor 201 is connected to the sensor component 202 through a data bus, and the sensor component 202 detects a user wearing signal of the wearable device;
  • the processor 201 determines, according to a user wearing signal of the sensor component 202, whether the wearable device is worn by a user, and acquires detection data of the wearing period of the wearable device in a predetermined time period, wherein the wearing period The time period during which the wearable device is worn by the user, the detection data is data related to the user's physical signs;
  • the processor 201 performs statistical analysis according to the detection data to obtain an analysis result.
  • the sensor component 202 includes at least one sensor, for example, a heart rate sensor, a body temperature sensor, a distance sensor, an acceleration sensor, a gyroscope, a light sensor, and the like.
  • a heart rate sensor for example, a heart rate sensor, a body temperature sensor, a distance sensor, an acceleration sensor, a gyroscope, a light sensor, and the like.
  • the embodiment of the present invention is not limited thereto, and is specifically defined according to a manufacturer's detection needs.
  • the data related to the user logo includes: sleep detection data, heart rate detection data, blood sugar blood pressure detection data, body temperature detection data, motion detection data, pulse detection data, sense by the user At least one of the measured light information.
  • the user specific vital sign information includes at least one of pulse information, blood pressure information, body temperature information, and heart rate information.
  • the sensor component 202 detects a wearing signal that the wearing device is worn by the user, and specifically includes: the wearing signal is a connection signal that the sensor component 202 detects that the buckle of the wearing device is engaged, including The sensor component 202 receives the connection signal of the buckle being buckled, and the processor 201 determines that the wearable device is worn by the user according to the connection signal; otherwise, it is determined that the wearable device is not worn by the user.
  • the sensor component 202 can include the first detection circuit of FIG. 2 or the second detection circuit of FIG.
  • the first detecting circuit 1 includes: a microcontroller MCU, a general purpose input output (GPIO) connected in series with a plurality of MCUs, one end of the GPIO is grounded through a switch, and the other end of the GPIO is connected to a power supply through a pull-up resistor VCC connection.
  • GPIO general purpose input output
  • the switch When the buckle is engaged, the switch is closed, the GPIO pin is grounded, and a low level is output to the MCU; when the buckle is opened, the switch is turned off, and the GPIO passes The pull-up resistor is enabled and outputs a high level to the MCU.
  • the second detecting circuit it may be detected by the second detecting circuit whether the buckle of the wearing device is buckled.
  • the second detecting circuit may include: a Hall sensor, a magnet adjacent to the Hall sensor, a second GPIO and a second MCU, wherein the Hall sensor passes the second GPIO and the second MCU, The Hall sensor is grounded at one end and connected to the power supply at the other end.
  • the Hall sensor When the buckle is engaged, the Hall sensor is close to the magnet, and a low level is output to the MCU. When the buckle is opened, the Hall sensor is away from the magnet, and a high level is output to the MCU. .
  • the method for determining whether the buckle of the wearable device is buckled is not limited to the embodiment of the present invention, and the foregoing solution is merely for convenience of understanding.
  • the wearing signal may also be user-specific physical information sensed by the sensor component 202, and the processor 201 determines, according to the user-specific characteristic information, whether the wearing device is worn by a user.
  • the processor 201 determines that the wearable device is not worn by the user; otherwise, the processor 201 determines that the wearable device is worn by the user.
  • the sensor component 202 can sense information such as a user's heart rate, temperature, or changes in light generated after wearing the device.
  • information such as a user's heart rate, temperature, or changes in light generated after wearing the device.
  • the detection method is not limited to this. Sensing the specific The sign information can also be one or more combinations.
  • a certain time threshold such as 2s
  • the detection method of the above sensor may be a combination of one or more, which can increase the accuracy of detection. .
  • the wearing signal may further be a combination of the sensor component 202 detecting a buckled connection signal of the wearable device and sensing a user-specific physical information in a preset time, the processor 201 Determining that the wearable device is worn by the user according to the connection signal that the buckle is engaged and the user-specific feature information; otherwise, determining that the wearable device is not worn by the user.
  • the specific manner in which the user-specific physical information is sensed is applicable to the above example, and will not be described here.
  • the processor 201 the acquiring the detection data of the wearing period of the wearable device in the predetermined time period specifically includes: the processor 201 determining a wearing period of the wearing device or a period of not wearing; collecting the wearing The device wears data of the time period as the detection data in the predetermined period of time.
  • the processor 201 may also collect all data of the wearable device during the predetermined time period, and delete data of the wearable device that is not worn in the predetermined time period, and all data is deleted. The data remaining after the data of the unworn period is deleted is used as the detection data.
  • the processor 201 determines that the wearable device is not worn by the user, the sensor component 202 that collects the detection data is closed, and the detection data is not collected.
  • the sensor that detects the data when detecting that the user does not wear the wearable device, the sensor that detects the data is turned off, and the power consumption of the wearable device is saved.
  • the wearable device may further include an RF (Radio). Frequency, radio frequency circuit 110, memory 120, input unit 130, display unit 140, sensor 150, audio circuit 160, Bluetooth module 170, and power supply 190.
  • RF Radio
  • the wearable device structure illustrated in FIG. 5 does not constitute a limitation to the wearable device, may include more or fewer components than illustrated, or combine some components, or different component arrangements.
  • the RF circuit 110 can be used for receiving and transmitting signals during the transmission and reception of information or during a call.
  • the processor 201 processes the data.
  • the uplink data is designed to be sent to the base station.
  • RF circuits include, but are not limited to, an antenna, at least one amplifier, a transceiver, a coupler, an LNA (Low Noise Amplifier), a duplexer, and the like.
  • RF circuitry 110 can also communicate with the network and other devices via wireless communication.
  • the wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System of Mobile communication), GPRS (General Packet Radio Service), CDMA (Code Division Multiple Access). , Code Division Multiple Access), WCDMA (Wideband Code Division Multiple Access), LTE (Long Term Evolution), e-mail, SMS (Short Messaging Service), and the like.
  • the memory 120 can be used to store software programs and modules, and the processor 201 performs various functional applications and data processing by executing software programs and modules stored in the memory 120.
  • the memory 120 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may be stored. The data created based on the use (such as audio data, phone book, etc.).
  • memory 120 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
  • the input unit 130 can be configured to receive input numeric or character information, and to generate key signal inputs related to user settings and function controls.
  • the input unit 130 may include a touch panel 131 and other input devices 132.
  • the touch panel 131 also referred to as a touch screen, can collect touch operations on or near the user (such as a user using a finger, a stylus, or the like on the touch panel 131 or near the touch panel 131. Operation), and drive the corresponding connecting device according to a preset program.
  • the touch panel 131 may include two parts: a touch detection device and a touch controller.
  • the touch detection device detects the touch orientation of the user, and detects a signal brought by the touch operation, and transmits a signal to the touch controller; the touch controller receives the touch information from the touch detection device, and turns it It is replaced with the contact coordinates, sent to the processor 201, and can receive the commands sent by the processor 201 and execute them.
  • the touch panel 131 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic waves.
  • the input unit 130 may also include other input devices 132.
  • other input devices 132 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, joysticks, and the like.
  • the display unit 140 can be used to display information input by the user or information provided to the user as well as various menus.
  • the display unit 140 may include a display panel 141.
  • the display panel 141 may be configured in the form of an LCD (Liquid Crystal Display), an OLED (Organic Light-Emitting Diode), or the like.
  • the touch panel 131 can cover the display panel 141. When the touch panel 131 detects a touch operation on or near the touch panel 131, the touch panel 131 transmits to the processor 201 to determine the type of the touch event, and then the processor 201 according to the touch event. The type provides a corresponding visual output on display panel 141.
  • the touch panel 131 and the display panel 141 are input and input functions implemented as two separate components in FIG. 5, in some embodiments, the touch panel 131 and the display panel 141 may be integrated. Input and output functions.
  • Audio circuit 160, speaker 161, and microphone 162 provide an audio interface between the user and the user.
  • the audio circuit 160 can transmit the converted electrical data of the received audio data to the speaker 161 for conversion to the sound signal output by the speaker 161; on the other hand, the microphone 162 converts the collected sound signal into an electrical signal by the audio circuit 160. After receiving, it is converted to audio data, and the audio data is output to the RF circuit 108 for transmission to, for example, another mobile phone, or the audio data is output to the memory 120 for further processing.
  • the processor 201 is a control center that utilizes various interfaces and lines to connect various portions of the entire handset, by executing or executing software programs and/or modules stored in the memory 120, and by invoking data stored in the memory 120. A variety of functions and processing data to monitor the phone as a whole.
  • the processor 201 may include one or more processing units; preferably, the processor 201 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system, a user interface, an application, and the like.
  • the modem processor primarily handles wireless communications. It can be understood that the above modem processor may not be integrated into the processor 201.
  • a power supply 190 (such as a battery) that supplies power to the various components.
  • the power supply can be logically coupled to the processor 201 through a power management system to manage functions such as charging, discharging, and power consumption through the power management system.
  • a camera or the like may be included, and details are not described herein again.
  • the wearable device can perform healthy sleep analysis, heart rate analysis, blood pressure stability analysis, exercise amount analysis, and the like according to the above-mentioned detection data, so that the user can monitor the physical health condition according to the analysis result of the accurate data.
  • the wearable device of the embodiment of the present invention improves the validity of the detection data by acquiring the detection data of the wearing period of the wearable device in the predetermined time period, so that the analysis result according to the detection data is more accurate, and the user experience is effectively improved.
  • the disclosed apparatus and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the modules of the unit are only divided into one logical function, and may be further divided in actual implementation, for example, multiple modules or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the storage medium may include: a read only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

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  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

L'invention concerne un procédé d'acquisition de données détectées d'un dispositif vestimentaire et le dispositif vestimentaire. Le procédé comprend les étapes suivantes : détecter si, oui ou non, le dispositif vestimentaire (100) est porté par un utilisateur (101), acquérir les données détectées du dispositif vestimentaire (100) pendant une période de temps de port dans les limites d'une période de temps prédéterminée, où la période de temps de port est une période de temps pendant laquelle le dispositif vestimentaire (100) est porté par l'utilisateur, et les données détectées sont les données relatives aux signes physiques de l'utilisateur (102), effectuer une analyse statistique en fonction des données détectées (103) et acquérir des résultats d'analyse. En acquérant les données détectées du dispositif vestimentaire (100) pendant la période de temps de port dans les limites de la période de temps prédéterminée, la validité des données détectées est améliorée, de façon que les résultats dérivés de l'analyse effectuée en fonction des données détectées soient plus précis, et l'expérience d'utilisateur est améliorée efficacement.
PCT/CN2014/086407 2014-09-12 2014-09-12 Dispositif vestimentaire et procédé d'acquisition de données de celui-ci WO2016037354A1 (fr)

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PCT/CN2014/086407 WO2016037354A1 (fr) 2014-09-12 2014-09-12 Dispositif vestimentaire et procédé d'acquisition de données de celui-ci

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WO2016037354A1 true WO2016037354A1 (fr) 2016-03-17

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CN117169927A (zh) * 2023-11-01 2023-12-05 河歌科技(深圳)有限责任公司 基于数据分析的智能穿戴设备状态评估方法

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