WO2022001749A1 - 一种启动运动模式的方法和电子设备 - Google Patents

一种启动运动模式的方法和电子设备 Download PDF

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Publication number
WO2022001749A1
WO2022001749A1 PCT/CN2021/101534 CN2021101534W WO2022001749A1 WO 2022001749 A1 WO2022001749 A1 WO 2022001749A1 CN 2021101534 W CN2021101534 W CN 2021101534W WO 2022001749 A1 WO2022001749 A1 WO 2022001749A1
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WIPO (PCT)
Prior art keywords
electronic device
user
probability
mode
information
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PCT/CN2021/101534
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English (en)
French (fr)
Inventor
徐腾
陈霄汉
严家兵
吴黄伟
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荣耀终端有限公司
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Publication of WO2022001749A1 publication Critical patent/WO2022001749A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/32—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data
    • H04W36/322—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data by location data
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72457—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to geographic location
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72466—User interfaces specially adapted for cordless or mobile telephones with selection means, e.g. keys, having functions defined by the mode or the status of the device
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/32—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data
    • H04W36/324—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data by mobility data, e.g. speed data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/02—Access restriction performed under specific conditions
    • H04W48/04—Access restriction performed under specific conditions based on user or terminal location or mobility data, e.g. moving direction, speed
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W76/00—Connection management
    • H04W76/10—Connection setup
    • H04W76/14—Direct-mode setup

Definitions

  • the present application relates to the field of terminals, and more particularly, to a method and electronic device for initiating a motion mode.
  • Basketball is a very popular sport. It is not only a fun entertainment project, but also a good fitness exercise function, which can improve the physiological function of the human body and make the body develop in a balanced manner. In basketball, wearable sports equipment has a huge market prospect.
  • the commonly used detection modes for the start and end of the movement of the wristband are manual start or start according to voice control, but often due to other reasons (such as user misoperation, missed start, etc.), the basketball movement mode of the wristband is accidentally started Or missing records, which may result in no data recording for the entire game or recording of non-basketball scene data.
  • the present application provides a method and electronic device for starting a motion mode, the method can be used in artificial intelligence (artificial intelligence, AI) terminals, and helps to realize the self-starting of the motion mode, thereby improving the degree of intelligence of the electronic device and improving the user experience.
  • artificial intelligence artificial intelligence, AI
  • a method for initiating a sports mode is provided, and the method is applied in a system including a first electronic device and a second electronic device, the first electronic device and the second electronic device are connected by a short-range wireless communication technology , the method includes: the first electronic device acquires first motion data of the user; the second electronic device sends first information to the first electronic device, the first information including the Wi-Fi detected by the second electronic device Name information of the hotspot and/or first location information of the second electronic device; the first electronic device prompts the user to activate the exercise mode according to the first exercise data and the first information, or activates the exercise mode.
  • the first electronic device may combine the user's motion data and the user's location information to determine whether to prompt the user to enter the exercise mode or determine whether to directly enter the exercise mode, thereby helping to realize the self-starting of the exercise mode and avoiding It eliminates the tedious operation of the user and the loss of motion data caused by the user's forgetting, which helps to improve the user's experience.
  • the first electronic device may be a wearable device (eg, a smart anklet), and the second electronic device may be a mobile phone.
  • the first electronic device prompts the user to activate the motion mode according to the first motion data and the first information, or, initiating the motion mode includes: obtaining the first motion mode. a probability and a second probability, the first probability is obtained by inputting the first motion data into a first database, and the second probability is obtained by inputting the first information into a second database, the first database collects the user’s movement state by collecting The second database is obtained by collecting the name information and location information of Wi-Fi hotspots in the sports venue; according to the first probability and the second probability, prompt the user to start the sports mode, or start the sport mode.
  • the first electronic device may obtain the first probability and the second probability, and the first electronic device may determine whether to prompt the user to start the exercise mode or whether to directly determine whether to activate the exercise mode according to the first probability and the second probability Entering the sports mode helps to improve the accuracy of the judgment of the first electronic device.
  • the first database and the second database are stored in the first electronic device, and the first electronic device can input the first motion data into the first database to obtain the first probability; the first electronic device can The first information is input into the second database to obtain the second probability.
  • the first database may be stored in a cloud server, and the first electronic device may report the first motion data and the first information to the cloud server, so that after the cloud server determines the first probability and the second probability sent to the first electronic device.
  • the first probability and the second probability may also be determined by a second electronic device (eg, a mobile phone).
  • the second electronic device sends the first electronic device to the first electronic device after determining the first probability and the second probability.
  • prompting the user to activate the motion mode, or, activating the motion mode includes: when the first probability is greater than or When it is equal to the first preset value and the second probability is greater than or equal to the second preset value, the user is prompted to activate the sports mode, or the sports mode is activated.
  • the first electronic device when the first electronic device determines that the user is in motion and the first electronic device determines that the user is in a sports field, the first electronic device may prompt the user to activate the exercise mode, or directly activate the exercise mode. It helps to realize the self-start of the exercise mode, avoids the cumbersome operation of the user and the lack of exercise data caused by the user's forgetting, and helps to improve the user's experience.
  • the first probability is greater than or equal to the first preset value as the first electronic device determines that the user is in a motion state.
  • the second probability is greater than or equal to the second preset value as the first electronic device determines that the user is in a sports field.
  • prompting the user to activate the motion mode, or, activating the motion mode includes: when the first probability and the second probability When the average value of the second probability is greater than or equal to the preset value, the user is prompted to activate the motion mode, or the motion mode is activated.
  • the first electronic device may prompt the user to activate the exercise mode, or directly activate the exercise mode, when the average value of the first probability and the second probability is greater than or equal to a preset value. This helps to realize the self-starting of the motion mode, avoids the cumbersome operation of the user and the loss of motion data caused by the user's forgetting, thereby helping to improve the user's experience.
  • the method further includes: acquiring, by the first electronic device, second motion data of the user; and sending, by the second electronic device, second information to the first electronic device,
  • the second information includes name information of the Wi-Fi hotspot detected by the second electronic device and/or second location information of the second electronic device; the first electronic device determines according to the second motion data that the user is in In the non-exercise state, or when it is determined according to the second information that the user is in a non-exercise field, the user is prompted to turn off the sports mode or turn off the sports mode.
  • the electronic device may prompt the user to turn off the sports mode or directly turn off the sports mode. This helps to realize the self-closing of the motion mode, avoids the cumbersome operation of the user and inaccurate motion data caused by the user forgetting to turn off, thereby helping to improve the user's experience.
  • determining, by the first electronic device, that the user is in a non-exercise state according to the second motion data includes: acquiring, by the first electronic device, a third probability, and the third probability is input into the first The database is obtained; when the third probability is less than the first preset value, the first electronic device determines that the user is in a non-exercise state.
  • the first electronic device determining that the user is in a non-sports field according to the second information includes: the first electronic device obtains a fourth probability, and the fourth probability is obtained by inputting the second information into the second database ; when the fourth probability is smaller than the second preset value, the first electronic device determines that the user is in a non-sports field.
  • the prompting the user to activate the motion mode includes: prompting the user to activate the motion mode through voice or vibration.
  • the account logged in on the first electronic device is associated with the account logged in on the second electronic device.
  • the account logged in on the first electronic device and the account logged in on the second electronic device may be the same account; or, the account logged in on the first electronic device and the second electronic device
  • the account logged in on the second electronic device is an account in the same family group; or, the account logged in on the second electronic device may be an account authorized by the account logged in on the first electronic device.
  • a method for initiating a motion mode is provided.
  • the method is applied to a first electronic device, and the method includes: acquiring, by the first electronic device, first motion data of a user; acquiring, by the first electronic device, first information , the first information includes name information of Wi-Fi hotspots around the first electronic device and/or first location information of the first electronic device; the first electronic device according to the first motion data and the first electronic device A message prompting the user to activate the sports mode, or to activate the sports mode.
  • the first electronic device may combine the user's motion data and the user's location information to determine whether to prompt the user to enter the exercise mode or determine whether to directly enter the exercise mode, thereby helping to realize the self-starting of the exercise mode and avoiding It eliminates the tedious operation of the user and the loss of motion data caused by the user's forgetting, which helps to improve the user's experience.
  • the first electronic device may be a wearable device (eg, a smart foot ring).
  • the first information acquired by the first electronic device may be sent by the second electronic device to the first electronic device. Since the first electronic device and the second electronic device are connected through short-range communication technology, it can be understood that the name information of the Wi-Fi hotspot detected by the second electronic device is the name information of the Wi-Fi hotspots around the first electronic device .
  • the first position information obtained by the second electronic device through its positioning function is the position information of the first electronic device.
  • the first electronic device prompts the user to start the movement mode according to the first movement data and the first information, or, starting the movement mode includes: obtaining the first movement mode. a probability and a second probability, the first probability is obtained by inputting the first motion data into a first database, and the second probability is obtained by inputting the first information into a second database, the first database collects the user’s movement state by collecting The second database is obtained by collecting the name information and location information of Wi-Fi hotspots in the sports venue; according to the first probability and the second probability, prompt the user to start the sports mode, or start the sport mode.
  • the first electronic device may obtain the first probability and the second probability, and the first electronic device may determine whether to prompt the user to start the exercise mode or whether to directly determine whether to activate the exercise mode according to the first probability and the second probability Entering the sports mode helps to improve the accuracy of the judgment of the first electronic device.
  • the first database and the second database are stored in the first electronic device, and the first electronic device can input the first motion data into the first database to obtain the first probability; the first electronic device can The first information is input into the second database to obtain the second probability.
  • the first database may be stored in a cloud server, and the first electronic device may report the first motion data and the first information to the cloud server, so that after the cloud server determines the first probability and the second probability sent to the first electronic device.
  • prompting the user to activate the motion mode, or, activating the motion mode includes: when the first probability is greater than or When it is equal to the first preset value and the second probability is greater than or equal to the second preset value, the user is prompted to activate the sports mode, or the sports mode is activated.
  • the first electronic device when the first electronic device determines that the user is in motion and the first electronic device determines that the user is in a sports field, the first electronic device may prompt the user to activate the exercise mode, or directly activate the exercise mode. It helps to realize the self-start of the exercise mode, avoids the cumbersome operation of the user and the lack of exercise data caused by the user's forgetting, and helps to improve the user's experience.
  • the first probability is greater than or equal to the first preset value as the first electronic device determines that the user is in a motion state.
  • the second probability is greater than or equal to the second preset value as the first electronic device determines that the user is in a sports field.
  • prompting the user to activate the motion mode, or, activating the motion mode includes: when the first probability and the second probability When the average value of the second probability is greater than or equal to the preset value, the user is prompted to activate the motion mode, or the motion mode is activated.
  • the first electronic device may prompt the user to activate the exercise mode, or directly activate the exercise mode, when the average value of the first probability and the second probability is greater than or equal to a preset value. It helps to realize the self-start of the exercise mode, avoids the cumbersome operation of the user and the lack of exercise data caused by the user's forgetting, and helps to improve the user's experience.
  • the method further includes: acquiring, by the first electronic device, second motion data of the user; acquiring, by the first electronic device, second information, where the second information includes the Name information of Wi-Fi hotspots around the first electronic device and/or second location information of the first electronic device; when the first electronic device determines according to the second motion data that the user is in a non-exercise state, or , when it is determined according to the second information that the user is in a non-sports field, the user is prompted to turn off the sport mode or turn off the sport mode.
  • the electronic device may prompt the user to turn off the sports mode or directly turn off the sports mode. This helps to realize the self-closing of the motion mode, avoids the cumbersome operation of the user and inaccurate motion data caused by the user forgetting to turn it off, thereby helping to improve the user's experience.
  • determining, by the first electronic device, that the user is in a non-exercise state according to the second motion data includes: acquiring, by the first electronic device, a third probability, and the third probability is input into the first The database is obtained; when the third probability is smaller than the first preset value, the first electronic device determines that the user is in a non-exercise state.
  • the first electronic device determining that the user is in a non-sports field according to the second information includes: the first electronic device obtains a fourth probability, and the fourth probability is obtained by inputting the second information into the second database ; when the fourth probability is smaller than the second preset value, the first electronic device determines that the user is in a non-sports field.
  • the prompting the user to activate the motion mode includes: the first electronic device prompts the user to activate the motion mode through voice or vibration.
  • the first electronic device and the second electronic device are connected through a short-range wireless communication technology, and the first electronic device obtains the first information, including: the first electronic device The device receives the first information sent by the second electronic device.
  • the first information may be obtained from the second electronic device.
  • the second electronic device to assist the judgment of the first electronic device helps to realize the self-starting of the exercise mode, avoids the cumbersome operation of the user and the lack of exercise data caused by the user's forgetting, and helps to improve the user's experience.
  • the account logged in on the first electronic device is associated with the account logged in on the second electronic device.
  • the account logged in on the first electronic device and the account logged in on the second electronic device may be the same account; or, the account logged in on the first electronic device and the second electronic device
  • the account logged in on the second electronic device is an account in the same family group; or, the account logged in on the second electronic device may be an account authorized by the account logged in on the first electronic device.
  • an apparatus in a third aspect, is provided, the apparatus is included in an electronic device, and the apparatus has a function of implementing the behavior of the electronic device in the possible implementations of the second aspect.
  • the functions can be implemented by hardware, or by executing corresponding software by hardware.
  • the hardware or software includes one or more modules or units corresponding to the above functions.
  • an electronic device comprising: one or more processors; a memory; and one or more computer programs. Wherein, one or more computer programs are stored in the memory, the one or more computer programs comprising instructions. When the instruction is executed by the electronic device, the electronic device is caused to execute the method of initiating a motion mode in any possible implementation of the second aspect above.
  • the technical solution provides a computer storage medium, including computer instructions, when the computer instructions are executed on an electronic device, the electronic device is made to execute the method for initiating a motion mode in any of the possible implementations of the second aspect above .
  • the technical solution provides a computer program product that, when the computer program product runs on an electronic device, enables the electronic device to execute the method for initiating a motion mode in any of the possible designs of the second aspect.
  • the technical solution provides a chip system, the chip system includes at least one processor, and when a program instruction is executed in the at least one processor, any of the possible methods of the second aspect can be implemented in an electronic device.
  • the above function is realized.
  • the technical solution provides a system including the first electronic device and the second electronic device in any of the possible methods of the first aspect.
  • FIG. 1 is a schematic structural diagram of a smart foot ring provided by an embodiment of the present application.
  • FIG. 2 is a schematic diagram of a scenario provided by an embodiment of the present application.
  • FIG. 3 is a schematic diagram of another scenario provided by an embodiment of the present application.
  • FIG. 4 is a schematic diagram of another scenario provided by an embodiment of the present application.
  • FIG. 5 is a schematic flowchart of a method for initiating a motion mode provided by an embodiment of the present application.
  • FIG. 6 is another schematic flowchart of a method for initiating a motion mode provided by an embodiment of the present application.
  • FIG. 7 is another schematic flowchart of a method for initiating a motion mode provided by an embodiment of the present application.
  • FIG. 8 is a schematic diagram of another scenario provided by an embodiment of the present application.
  • FIG. 9 is another schematic flowchart of a method for initiating a motion mode provided by an embodiment of the present application.
  • first and second are only used for descriptive purposes, and should not be construed as indicating or implying relative importance or implicitly indicating the number of indicated technical features.
  • a feature defined as “first” or “second” may expressly or implicitly include one or more of that feature.
  • plural means two or more.
  • the electronic device may be a portable electronic device such as a mobile phone; or the electronic device may also be a wearable device, for example, the wearable device is a smart Watches, smart anklets, smart bracelets, smart bracelets and smart glasses, etc.
  • the smart foot ring 100 may include: a pressure sensor 101, a six-axis sensor 102, a processor 104, a radio frequency (RF) circuit 105, a battery 106, a memory 107, an input unit 108, and a display unit 109.
  • RF radio frequency
  • each component of the smart foot ring 100 will be introduced in detail:
  • the pressure sensor 101 can detect the deformation of the casing on the nanometer scale. Exemplarily, by detecting the pressure value between the rear shell of the smart foot ring 100 and the wearing part of the user, the fitting tightness of the smart foot ring 100 and the wearing part of the user is reflected.
  • the smart foot ring 100 may further include other sensors 110, and the other sensors 110 may be temperature sensors, air pressure sensors, and the like.
  • the temperature sensor can be used to detect the skin temperature; the air pressure sensor can calculate the altitude based on the air pressure at the user's location.
  • the six-axis sensor 102 is used to obtain the motion data collected by the acceleration sensor and the gyroscope sensor in the smart foot ring 100, and to estimate the user parameter value in real time through the data fusion method, including the moving distance, the number of steps, the vertical jump height, the moving speed, etc. Wait.
  • the six-axis sensor 102 may include an acceleration sensor and a gyroscope sensor.
  • the gyroscope sensor can be used to determine the motion posture of the smart foot ring.
  • the angular velocity of the smart foot ring about three axes ie, X, Y, and Z axes
  • a gyro sensor can be determined by a gyro sensor.
  • the acceleration sensor can detect the acceleration of the smart foot ring in all directions (generally three axes). When the smart foot ring is stationary, the magnitude and direction of gravity can be detected. It can also be used to recognize the posture of the smart foot ring, and be used in applications such as a horizontal pedometer.
  • the processor 104 is the control center of the smart foot ring 100, uses various interfaces and lines to connect various parts of the entire smart foot ring, runs or executes the software programs and/or modules stored in the memory 107, and calls the software programs and/or modules stored in the memory 107. Execute various functions of the smart foot ring 100 and process data, so as to realize various services based on the smart foot ring 100 .
  • the processor 104 may include one or more processing units; preferably, the processor 104 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, etc. , the modem processor mainly deals with wireless communication. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 104 .
  • the processor 104 may include one or more processing units, for example, the processor 104 may include an application processor (application processor, AP), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), controller, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (neural-network processing unit, NPU), etc.
  • application processor application processor, AP
  • modem processor graphics processor
  • graphics processor graphics processor
  • image signal processor image signal processor
  • ISP image signal processor
  • controller video codec
  • digital signal processor digital signal processor
  • baseband processor baseband processor
  • neural-network processing unit neural-network processing unit
  • the smart foot ring 100 may also include one or more processors 104 .
  • the controller can generate an operation control signal according to the instruction operation code and the timing signal, and complete the control of fetching and executing instructions.
  • memory may also be provided in the processor 104 for storing instructions and data.
  • the memory in the processor 104 may be a cache memory. This memory may hold instructions or data that have just been used or recycled by the processor 104 . If the processor 104 needs to use the instruction or data again, it can be called directly from the memory. In this way, repeated access is avoided, and the waiting time of the processor 104 is reduced, thereby improving the efficiency of the smart foot ring 100 for processing data or executing instructions.
  • the processor 104 can classify the current exercise behavior of the user based on the data of the six-axis sensor 102, and the classification result includes sports modes such as basketball, football, volleyball, etc., and non-exercise modes.
  • the processor 104 may also classify the acquired name information and/or location information of the Wi-Fi hotspot, and the classification result may include that the user is in a sports field (eg, basketball court, football field, volleyball court, etc.) and the user is in a non-sports field .
  • a sports field eg, basketball court, football field, volleyball court, etc.
  • the RF circuit 105 may be used for the reception and transmission of signals.
  • the RF circuit 105 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (LNA), a duplexer, and the like.
  • the RF circuitry 105 may also communicate with networks and other devices via wireless communication.
  • the wireless communication can use any communication standard or protocol, including but not limited to global system of mobile communication (GSM), general packet radio service (GPRS), code division multiple access (code division multiple access) division multiple access, CDMA), wideband code division multiple access (WCDMA), long term evolution (long term evolution, LTE), email, short message service (short messaging service, SMS), etc.
  • GSM global system of mobile communication
  • GPRS general packet radio service
  • code division multiple access code division multiple access
  • CDMA code division multiple access
  • WCDMA wideband code division multiple access
  • long term evolution long term evolution
  • LTE long term evolution
  • email short message service
  • the RF circuit 105 can also provide wireless local area networks (WLAN) (such as Wi-Fi networks), bluetooth (BT), global navigation satellite system (global navigation satellite system), GNSS), frequency modulation (FM), near field communication (NFC), infrared technology (infrared, IR) and other wireless communication solutions.
  • WLAN wireless local area networks
  • BT Bluetooth
  • GNSS global navigation satellite system
  • FM frequency modulation
  • NFC near field communication
  • infrared technology infrared, IR
  • the GNSS may include a global positioning system (GPS), a GLONASS satellite navigation system (GLONASS), a Galileo satellite navigation system (GALILEO) or a Beidou satellite. System (Bei Dou navigation satellite system, BDS).
  • GPS global positioning system
  • GLONASS GLONASS satellite navigation system
  • GALILEO Galileo satellite navigation system
  • BDS Beidou satellite. System
  • the smart foot ring 100 may receive, through the RF circuit 105 , the name information of the Wi-Fi hotspot near the mobile terminal and/or the location information of the mobile terminal (for example, the mobile terminal and the mobile terminal) sent by the mobile terminal (eg, mobile phone). Based on the global positioning system (GPS) information), the processor 104 may determine whether the user is in the sports field based on the above information or the processor 104 may determine the probability that the user is in the sports field based on the above information.
  • GPS global positioning system
  • the memory 107 can be used to store software programs and modules, and the processor 104 executes various functional applications and data processing of the smart foot ring 100 by running the software programs and modules stored in the memory 107 .
  • the memory 107 may mainly include a stored program area and a stored data area, wherein the stored program area may store an operating system, an application program (such as a sound playback function, an image playback function, etc.) required for at least one function, and the like;
  • the use of the smart foot ring 100 creates data (such as audio data, etc.) and the like.
  • memory 107 may include high-speed random access memory, and may 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 108 may be used to receive inputted numerical or character information, and generate key signal input related to user settings and function control of the smart foot ring 100 .
  • the input unit 108 may include a touch panel 181 and other input devices 182 .
  • the touch panel 181 also referred to as a touch screen, can collect the user's touch operations on or near it (such as the user's finger, stylus, etc., any suitable object or accessory on or near the touch panel 181). operation), and drive the corresponding connection device according to the preset program.
  • the touch panel 181 may include two parts, a touch detection device and a touch controller.
  • the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and then sends it to the touch controller.
  • the touch panel can be realized by various types of resistive, capacitive, infrared, and surface acoustic waves.
  • the input unit 108 may also include other input devices 182 .
  • other input devices 182 may include, but are not limited to, one or more of physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, joysticks, and the like.
  • the display unit 109 may be used to display information input by the user or information provided to the user and various menus of the smart foot ring 100 .
  • the display unit 109 may prompt the user that the user is currently in the sports mode, or the display unit 109 may prompt the user to confirm whether to enter the sports mode.
  • the display unit 109 may include a display panel 191.
  • the display panel 191 may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.
  • the touch panel 181 may cover the display panel 191.
  • the touch panel 181 When the touch panel 181 detects a touch operation on or near it, it transmits it to the processor 104 to determine the type of the touch event, and then the processor 104 determines the type of the touch event according to the touch event. Type provides corresponding visual output on display panel 191 .
  • the touch panel 181 and the display panel 191 are used as two independent components to realize the input and input functions of the smart foot ring 100 , in some embodiments, the touch panel 181 and the display panel may be combined 191 is integrated to realize the input and output functions of the smart foot ring 100.
  • the audio circuit 111 and the speaker 112 can provide an audio interface between the user and the smart foot ring 100 .
  • the audio circuit 111 and the speaker 112 may output to remind the user to confirm whether to enter the exercise mode or to prompt the user that the smart foot ring 100 has entered the exercise mode.
  • the audio circuit 111 can transmit the electrical signal converted from the received audio data to the speaker 112, and the speaker 112 converts it into a sound signal and outputs it.
  • the vibrating device 113 can remind the user to pay attention by vibrating.
  • the vibration device 113 can remind the user through the vibration device 113, so that the user can confirm whether to enter the exercise mode through the display unit 109 after receiving the vibration reminder; alternatively, the vibration device 113 can also remind the user
  • the smart foot ring 100 has entered the sports mode.
  • the charge management module is used to receive charge input from the charger.
  • the charger may be a wireless charger or a wired charger.
  • the charging management module may receive charging input from the wired charger through a USB interface.
  • the charging management module may receive wireless charging input through the wireless charging coil of the smart foot ring 100 . While the charging management module charges the battery 106, it can also supply power to the electronic device through the power management module.
  • the power management module is used to connect the battery 106 , the charge management module and the processor 104 .
  • the power management module receives input from the battery 106 and/or the charge management module, and supplies power to the processor 104, the memory 107, the display unit 109, and the like.
  • the power management module can also be used to monitor parameters such as battery capacity, battery cycle times, battery health status (leakage, impedance).
  • the power management module may also be provided in the processor 104 .
  • the power management module and the charging management module may also be provided in the same device.
  • the structures shown in the embodiments of the present application do not constitute a specific limitation on the smart foot ring 100 .
  • the smart foot ring 100 may include more or less components than shown, or combine some components, or separate some components, or arrange different components.
  • the illustrated components may be implemented in hardware, software, or a combination of software and hardware.
  • the embodiments of the present application may be applied to terminal devices such as smart bracelets, smart bracelets, and smart glasses, which are not limited in the embodiments of the present application.
  • FIG. 2 is a schematic diagram of a scenario provided by an embodiment of the present application.
  • the six-axis sensor in the user's smart foot ring can collect the user's motion data, so as to determine that the user is already in basketball through the analysis of the user's motion data;
  • the smart foot ring can also receive the name information of the Wi-Fi hotspot near the mobile terminal (for example, the name of the Wi-Fi hotspot connected to the mobile phone is "basketball hall") sent by the mobile terminal (for example, the mobile phone) and the mobile phone's name information GPS information (for example, the GPS of the mobile phone is located at the "No. 1 Middle School Basketball Hall"), so that it can be determined that the user is already playing basketball through the analysis of the user's location information.
  • the name information of the Wi-Fi hotspot near the mobile terminal for example, the name of the Wi-Fi hotspot connected to the mobile phone is "basketball hall"
  • GPS information for example, the GPS of the mobile phone is located at the "No. 1
  • the name information of the Wi-Fi hotspots near the mobile terminal may include the name information of the Wi-Fi hotspots that the mobile terminal has connected to and the name information of the Wi-Fi hotspots that are not connected but have been detected.
  • the name information of the Fi hotspot may include the name information of the Wi-Fi hotspots that the mobile terminal has connected to and the name information of the Wi-Fi hotspots that are not connected but have been detected.
  • the smart foot ring After the smart foot ring determines that the user is playing basketball and is in the basketball court, the smart foot ring can remind the user in different ways.
  • the smart foot ring can prompt the user through the display screen "It is detected that you are playing basketball, please confirm whether to enter the basketball mode?"
  • the smart foot ring detects that the user clicks "Yes”
  • the smart foot ring enters basketball motion mode.
  • the smart foot ring After entering the basketball mode, the smart foot ring can detect the user's movements such as walking, running, jumping, turning and changing directions when playing basketball; the data that the smart foot ring can display include moving distance, moving steps, moving speed, number of turns and changing directions, Number of jumps, jump height, flight time, etc.
  • the smart foot ring when the smart foot ring detects that the user is playing basketball and the user is on the basketball court, the smart foot ring can remind the user that there is information on the display screen that needs to be confirmed by the user, and the user sees the information on the smart foot ring. Afterwards, it can be operated to make the smart foot ring enter the basketball mode.
  • the smart foot ring can also automatically enter the basketball sports mode, and at the same time remind the user that the smart foot ring has entered the basketball motion by means of voice prompts or vibration prompts. model.
  • the smart foot ring can remind the user through voice prompts that "it has been detected that you are playing basketball, and the basketball sports mode has been turned on for you".
  • the smart foot ring can also remind the user that the smart foot ring has entered the basketball mode by means of vibration prompts.
  • the smart foot ring can also remind the user whether to enter the basketball mode by means of voice prompts or vibration prompts. Then enter the basketball mode; or the smart foot ring detects that the user clicks the control to confirm entering the basketball mode on the display screen), and enters the basketball mode.
  • the smart foot ring can also alert the user in other manners.
  • a combination of voice reminders and vibration reminders can be used.
  • the voice prompts the user "It is detected that you are playing basketball, please confirm whether to enter the basketball mode?".
  • FIG. 3 shows a schematic diagram of another scenario provided by an embodiment of the present application.
  • the display interface can display information such as time, weather, power, and unread messages.
  • the wearable device may collect motion data of the user through the sensor, and determine that the user is in a basketball state based on the collected motion data.
  • the display interface shown in (b) of FIG. 3 compared with the display interface shown in (a) of FIG. 3 , the display interface shows that the wearable device has been connected to the surrounding Wi-Fi routers and the Wi-Fi -The name of the Wi-Fi hotspot of the Fi router is "Basketball Hall Convenience Store". At this time, the wearable device can determine that the user is in the basketball court according to the name of the Wi-Fi hotspot.
  • a display interface as shown in (c) of FIG. 3 may be displayed.
  • the wearable device can remind the user through text to "detect that you are playing basketball, whether to enter the basketball mode".
  • the wearable device detects that the user clicks "Yes", the wearable device enters the basketball motion mode.
  • the wearable device may also not need to collect the user's movement data. After the wearable device determines that the surrounding Wi-Fi router has been connected and the name of the Wi-Fi hotspot of the Wi-Fi router is "Basketball Stadium Convenience Store", the wearable device can determine whether to prompt the user to enter the basketball mode according to the historical record. .
  • the history of the wearable device records that after the wearable device is connected to a Wi-Fi router with a Wi-Fi hotspot named "Basketball Hall Convenience Store" 10 times, the wearable device enters the basketball sports mode 8 times. Then the wearable device can determine that after connecting the Wi-Fi router, the user wants the wearable device to enter the basketball mode. Therefore, the wearable can prompt the user whether to enter the basketball mode.
  • FIG. 4 shows a schematic diagram of another scenario provided by an embodiment of the present application.
  • the display interface can display information such as time, weather, power, and unread messages.
  • the wearable device may collect motion data of the user through the sensor, and determine that the user is in a basketball state based on the collected motion data.
  • the display interface shown in (b) of FIG. 4 compared with the display interface shown in (a) of FIG. 4 , the display interface shows that the wearable device has enabled the positioning function. At this time, the wearable device can determine that the user is in the basketball court according to the positioning function.
  • a display interface as shown in (c) of FIG. 4 may be displayed.
  • the wearable device can remind the user through text to "detect that you are playing basketball, whether to enter the basketball mode".
  • the wearable device detects that the user clicks "Yes", the wearable device enters the basketball motion mode.
  • the wearable device may also not need to collect the user's movement data.
  • the wearable device determines the location of the user according to the positioning function, the wearable device can determine whether to prompt the user to enter the corresponding exercise mode according to the historical record.
  • the history of the wearable device records that when the wearable device is on the basketball court 10 times, 8 times the wearable device enters the basketball mode. Then the wearable device can determine that after being on the basketball court, the user wants the wearable device to enter the basketball motion mode. Therefore, the wearable can prompt the user whether to enter the basketball mode.
  • the electronic device may combine the user's motion data and the user's location information to determine whether to prompt the user to enter the exercise mode or determine whether to directly enter the exercise mode, thereby helping to realize the self-starting of the exercise mode and preventing the user from entering the exercise mode. tedious operations and the lack of motion data due to user forgetting, which helps to improve the user experience.
  • FIG. 5 shows a schematic flowchart of a method 300 for initiating an exercise mode provided by an embodiment of the present application, and the method 300 may be used in a wearable device. As shown in Figure 5, the method 300 includes:
  • the wearable device detects and identifies the motion parameters of the user based on the motion data collected by the six-axis sensor, and classifies the current motion behavior, and the classification result includes that the user is in an exercising state or the user is in a non-exercising state.
  • the wearable device can classify the user's current exercise according to the user's exercise parameters, and the classification result can also be subdivided into basketball, football, volleyball, table tennis and other sports and non-sports.
  • the wearable device can determine that the user is in basketball; if the motion parameters recognized by the wearable device include If the user's linear acceleration, leg movement and other parameters meet the preset conditions, the wearable device can determine that the user is in football.
  • the sports parameters identified by the wearable device include jumping, moving, etc.
  • other parameters can be used to determine which sports the user is playing. For example, if the motion parameters recognized by the wearable device also include steering, the wearable device can determine that the user is in basketball; otherwise, if the recognized motion parameters do not include steering, the wearable device can determine that the user is in volleyball middle.
  • the wearable device receives the Wi-Fi hotspot name information and/or location information sent by the mobile terminal.
  • a connection can be established between the wearable device and a mobile terminal (for example, a mobile phone) by means of short-range wireless communication.
  • a mobile terminal for example, a mobile phone
  • a Bluetooth connection or a Wi-Fi connection can be established between the wearable device and the mobile terminal.
  • the mobile terminal can send Wi-Fi hotspot name information and/or location information to the wearable device through short-range wireless communication.
  • the wearable device and the mobile terminal can log in to the same account, and the mobile terminal can also send Wi-Fi hotspot name information and/or location information to the wearable device through the cloud server.
  • the wearable device classifies the current location of the user according to the Wi-Fi hotspot name information and/or location information, and the classification result includes that the user is in a sports field and the user is in a non-sports field.
  • the wearable device can classify the user's current location according to the user's location information, and the classification result can also be subdivided into sports venues such as basketball courts, football courts, volleyball courts, and table tennis courts, as well as non-sports venues. .
  • the location information may be a location information determined by the mobile terminal in combination with a satellite positioning system and map information.
  • the wearable device receives the Wi-Fi hotspot name information sent by the mobile terminal, if the wearable device determines that the Wi-Fi hotspot name information contains information such as "basketball court", "basketball sports” or “basketball competition", then The wearable device can determine that the user is in a basketball court.
  • the wearable device can determine that the user is in the basketball court. .
  • the wearable device may determine that the user is in a location where the above-mentioned Wi-Fi hotspot name information or location information meets the preset conditions. Alternatively, the wearable device may determine that the user is in the basketball court when it is determined that both the name information and the location information of the Wi-Fi hotspot meet the preset conditions.
  • the wearable device when the classification results of S301 and S303 satisfy the first preset condition, the wearable device prompts the user to activate the exercise mode.
  • the first preset condition includes, but is not limited to: the classification result in S301 is that the user is in a sports state and the classification result of S303 is that the user is in a sports field.
  • the wearable device determines in S301 that the user is playing basketball, and in S303 the wearable device determines that the user is currently on a basketball court, then the wearable device can automatically turn on the basketball mode, or the wearable device can remind the user whether Enters basketball sport mode; otherwise, the wearable does not enter sport mode (keeps its current state).
  • the wearable device receives the name information of the Wi-Fi hotspot sent by the mobile terminal. If the wearable device determines in S301 that the user is playing basketball according to the collected motion data, and the wearable device determines in S303 that the name information of the Wi-Fi hotspot includes information such as "basketball", then the wearable device may prompt the user to start the exercise mode .
  • the wearable device receives the location information sent by the mobile terminal. If the wearable device in S301 determines that the user is in basketball according to the collected motion data, and the location information determined by the wearable device in S303 includes information such as "basketball hall", "playground”, etc., then the wearable device can prompt the user to start the exercise mode .
  • the wearable device receives the name information and location information of the Wi-Fi hotspot sent by the mobile terminal. If the wearable device in S301 determines that the user is playing basketball according to the collected motion data, in S303 the wearable device determines that the name information of the Wi-Fi hotspot includes information such as "basketball court”, “basketball sports”, and the wearable device in S303 It is determined that the location information includes information such as "basketball hall", “playground”, etc., then the wearable device can prompt the user to activate the exercise mode.
  • the wearable device can check and judge at certain time intervals. If the classification result is still basketball, the wearable device remains silent and maintains the current state; if it is non-basketball, the wearable device can pass The reminding manner shown in FIG. 2 reminds the user that the basketball sport mode has been turned off (or, reminds the user whether to turn off the basketball sport mode).
  • the wearable device may prompt the user to turn off the exercise mode.
  • the wearable device determining within a certain time interval that the collected motion data of the user does not meet the second preset condition includes: the wearable device judging that the user is in a non-exercise state according to the collected motion data.
  • the name information and/or location information of the Wi-Fi hotspot received by the wearable device within a certain time interval does not meet the third preset condition, including: the wearable device determines from the name information of the Wi-Fi hotspot The user is not in the sports field; or, the wearable device determines that the user is not in the sports field according to the location information; or the wearable device determines that the user is not in the sports field according to the name information and location information of the Wi-Fi hotspot.
  • the wearable device may prompt the user to turn off the exercise mode if the wearable device determines within a certain time interval that the collected motion data of the user does not meet the second preset condition and the name information and /or when the location information does not meet the third preset condition.
  • the wearable device when the wearable device is determined to be in a non-exercise state or is determined to be in a non-exercise field, the wearable device may prompt the user to turn off the exercise mode or directly close the exercise mode. This helps to realize the self-closing of the motion mode, avoids the cumbersome operation of the user and inaccurate motion data caused by the user forgetting to turn off, thereby helping to improve the user's experience.
  • the wearable device may also determine whether to enter the exercise mode according to the historical location records saved by the wearable device.
  • the wearable device can prompt the user to activate the exercise mode.
  • the wearable device in the historical record of the wearable device, the user chooses to manually enter the exercise mode 8 times out of 10 times when he is in the "XX middle school playground". Then the next time the user arrives at the "XX middle school playground", the wearable device can prompt to activate the exercise mode.
  • the wearable device can combine the user's motion data and the user's position information to determine whether to prompt the user to enter the exercise mode or determine whether to directly enter the exercise mode, thereby helping to realize the self-starting of the exercise mode and avoiding the need for The tedious operation of the user and the loss of motion data caused by the user's forgetting help improve the user's experience.
  • the following describes the process of determining whether to enter the exercise mode by the wearable device through machine learning.
  • FIG. 6 shows a schematic flowchart of a method 400 for initiating an exercise mode provided by an embodiment of the present application, and the method 400 may be used in a wearable device. As shown in Figure 6, the method 400 includes:
  • the wearable device collects motion data of the user.
  • the six-axis sensor of the wearable device collects the data of the user's current gyroscope sensor and acceleration sensor, and transmits the collected motion data to the processor of the wearable device.
  • the wearable device performs parameter estimation.
  • the acceleration sensor on the wearable device can directly obtain the acceleration in all directions of the measured part.
  • the wearable device can calculate the vertical acceleration, and definitely integrate the acceleration curve before jumping to obtain the speed at any time.
  • the definite integral calculation of the specific interval is performed on the velocity curve to obtain the vertical displacement curve of the human body.
  • the vertical jump height during the take-off process can be obtained by analysis.
  • the wearable device performs user behavior classification.
  • the processor of the wearable device can use the machine learning method to classify the current exercise behavior of the user based on the above parameter estimation results and the user behavior database in the wearable device, and the classification result includes one of basketball sports and non-basketball sports, And the probability of the result of the behavior is given, for example, the probability of basketball is P 1 , and the probability of non-basketball is P 2 .
  • the wearable device acquires the name information of the Wi-Fi hotspot and/or the location information of the mobile terminal sent by the mobile terminal.
  • the mobile terminal carried by the user such as a mobile phone, scans and obtains the name information of all WiFi hotspots at the location of the user through the Wi-Fi module, and stores it in the storage unit of the mobile device.
  • the mobile terminal carried by the user such as a mobile phone, obtains the user's current geographic coordinate information (longitude, latitude, altitude, etc.) through the satellite positioning system (for example, GPS, Beidou satellite positioning system, etc.) on the mobile phone, and combines the map information, thereby Obtain the user's geographic location information (such as "the first middle school basketball hall"), and store it in the storage unit of the mobile device.
  • the satellite positioning system for example, GPS, Beidou satellite positioning system, etc.
  • the mobile terminal may also determine the geographic location information of the user in combination with the indoor positioning method.
  • a mobile terminal may use location based services (LBS) to determine the location of the user indoors.
  • LBS location based services
  • the mobile terminal uses an indoor positioning method to determine that the user is in a basketball hall or a shopping mall.
  • the wearable device may also have a satellite positioning system, then the wearable device may obtain the user's current geographic coordinate information, and combine with the map information to obtain the user's geographic location information.
  • map information in this embodiment of the present application may be map information stored in a terminal device, or may also be stored in a cloud server, or may also be map information stored in a wearable device.
  • the mobile terminal or the wearable device can send the geographic coordinate information to the cloud server.
  • the cloud server can combine geographic coordinate information and map information to send the user's geographic location information to the mobile phone or wearable device.
  • the wearable device can send the geographic coordinate information to the mobile phone after obtaining the current geographic coordinate information.
  • the mobile phone can obtain the user's geographic location information in combination with the geographic coordinate information and map information sent by the wearable device.
  • the phone can send the user's geographic location information to the wearable device.
  • the wearable device and the mobile terminal communicate through short-range communication such as Bluetooth, and the wearable device can request the mobile terminal for Wi-Fi hotspot name information and/or the user's location information, and store this information in the wearable device's after obtaining the information. storage unit.
  • the wearable device may also have the Wi-Fi function, then the wearable device may directly obtain the names of the surrounding Wi-Fi hotspots through the Wi-Fi function.
  • the wearable device is determined in S403 that the output of the probability P 1 is greater than or equal to a preset value, the mobile terminal sends a query to the query request is used to query the name of Wi-Fi hotspots information acquired by the mobile terminal and / or the user's location information. After receiving the query request, the mobile terminal may send a query result to the wearable device, where the query result includes Wi-Fi hotspot name information and/or user's geographic location information.
  • the user behavior database stored in the wearable device may store a training data set, wherein the training data set may be obtained by collecting motion parameters of different users when they play basketball.
  • the wearable device can input the motion parameters into the user behavior database to obtain the probability P 1 .
  • the probability P 1 can also be understood as the degree of matching between the motion parameters obtained by the wearable device through parameter estimation and the motion parameters stored in the training data set. In this way, the wearable device can quantify the user's movement data into probability values.
  • the wearable device cannot directly determine whether the user is in motion through the motion parameters.
  • These data can be quantified by means of machine learning, which helps the wearable device determine whether the user is in a state of exercise through the quantized probability value.
  • the method of machine learning also helps to improve the detection accuracy.
  • the wearable device may also send the query request to the mobile terminal after S402.
  • S405 based on the information obtained in S404 and the name information and/or location information database of the Wi-Fi hotspot in the wearable device, use a machine learning method to classify the current location of the user.
  • the wearable device may store a database of name information and location information of Wi-Fi hotspots, and this database may be obtained through a large amount of data statistics.
  • the name information of the Wi-Fi hotspots of all basketball courts in a certain city can be collected, and the collected data can be stored in this database.
  • the location information related to the basketball court in these map data can be extracted through Baidu Map, AutoNavi Map, etc., and the extracted data can be stored in this data.
  • the name information and location information database of Wi-Fi hotspots stored in the wearable device records the location information of each basketball court among 100 basketball courts in a city and the Wi-Fi hotspots around each basketball court. name information.
  • the wearable device can match the acquired name information of the Wi-Fi hotspot with the information recorded in the database.
  • "XX convenience store” is the name of the Wi-Fi hotspot of a convenience store in a basketball court, then the wearable device can determine that the user is in the basketball court.
  • the above-mentioned database of name information and location information of Wi-Fi hotspots may be one database, or the database may be divided into a database of name information and location information of Wi-Fi hotspots.
  • the classification result includes a probability of being on a sports court and a probability that the user is on a non-basketball court.
  • the probability that the user is on a basketball court is P 3
  • the probability that the user is on a non-basketball court is P 4 .
  • the name information of the Wi-Fi hotspot stored in the wearable device and "XX convenience store" recorded in the location information database are the name of the Wi-Fi hotspot of the convenience store in a certain basketball court.
  • the name of the Wi-Fi hotspot of the convenience store in the basketball court is updated to "XX convenience store”
  • the wearable device can match the name of the original Wi-Fi hotspot with the name of the updated Wi-Fi hotspot.
  • the matching degree of , the probability that the output user is on the basketball court is P 3 .
  • the name information and location information database of Wi-Fi hotspots are stored in the wearable device.
  • the wearable device can input the name information and/or the location information of the Wi-Fi hotspot into the database to obtain the probability P 3 .
  • the probability P 3 may be understood as a wearable device acquired by the Wi-Fi hotspot name information and / or location information matching database. In this way, the wearable device can quantify the user's location characteristics into probability values.
  • the wearable device cannot directly determine whether the user is in the sports field through the name information and location information of the Wi-Fi hotspot. These data can be quantified through machine learning, which helps the wearable device to determine whether the user is on a sports field through the quantized probability value. At the same time, the method of machine learning also helps to improve the detection accuracy.
  • the name information and location information database of the above-mentioned Wi-Fi hotspot can also be stored in the mobile phone, and the wearable device can send a query request to the mobile terminal, and the query request can be used to request the mobile phone to classify the current location of the user.
  • the mobile phone can input the name information and location information of the detected Wi-Fi hotspot into the name information and location information database of the Wi-Fi hotspot, and obtain the probability that the user is in a sports field and the probability that the user is in a non-basketball field. Therefore, the mobile phone can carry the probability that the user is in the sports field in the query result sent to the mobile phone.
  • the classification results obtained in S403 and S405 are to prepare for the final classification of the wearable device.
  • the classification results obtained in S403 and S405 can be input as parameters, and the final classification results can be output through the calculation of the wearable device.
  • the wearable device may perform data fusion in combination with the classification results obtained in S403 and S405 to obtain a final classification result.
  • the wearable device may determine the final classification result according to a preset calculation method in combination with the probability P 1 output in S403 and the probability P 3 output in S405 .
  • the wearable device can classify the user behavior based on the result of comparing the average value of P 1 and P 3 with a preset value. Exemplarily, if the average value is greater than or equal to the preset value, the classification result is to enter the sports mode; if the average value is less than the preset value, the classification result is not to enter the sports mode.
  • the wearable device can quantify the user's motion data collected by the wearable device and the obtained position information by calculating the average value of P 1 and P 3 and comparing with the preset value. It is helpful for the wearable device to judge whether to automatically enter the exercise mode through the quantized probability value, or whether to prompt the user to enter the exercise mode.
  • the preset value may be a threshold value pre-stored in the wearable device.
  • the wearable device may obtain the preset value from the server (the server may calculate the preset value through big data).
  • the comparison of the embodiments of the present application is not limited.
  • the wearable device may determine that the final classification result is to enter the exercise mode when P 1 is greater than or equal to the first preset value and P 3 is greater than or equal to the second preset value.
  • the wearable device may determine that P 1 is less than the first preset value, and determine that the final classification result is not to enter the exercise mode; or, the wearable device may determine that P 3 is less than the second preset value, and determine that the final classification result is not to enter the sports mode. Enter the exercise mode; alternatively, the wearable device may determine that the final classification result is not to enter the exercise mode after determining that P 1 is less than the first preset value and P 3 is less than the second preset value.
  • the wearable device may be based on the results of the sum of 2 and P 4 P 1 and comparison of the sum of P 3 and P, and user behavior classification. Exemplarily, if the sum of P 1 and P 3 is greater than the sum of P 2 and P 4 , then the classification result is to enter the sports mode; if the sum of P 1 and P 3 is less than the sum of P 2 and P 4 , then the classification result is Do not enter sport mode.
  • the wearable device automatically turns on the basketball movement mode, and reminds the user through voice broadcast or vibration that the wearable device has turned on the basketball movement mode (or, further, the user may be asked to confirm whether to turn on the basketball movement mode again). sports mode); if it is non-basketball sports, the wearable device does not turn on the basketball sports mode.
  • the wearable device keeps silent and maintains the current state; if it is not to enter the exercise mode, then The user is reminded by voice broadcast or vibration that the electronic device is about to turn off the basketball sport mode (or, further, the user may be asked to confirm whether to turn off the sport mode again).
  • the wearable device may perform data fusion to estimate the current behavioral characteristics of the user based on Wi-Fi hotspot information near the mobile terminal carried by the user, the user's location information, and the user's motion data collected by the wearable device. Thereby, the self-start/end detection of the basketball motion mode is realized.
  • the wearable device may send a query request to the mobile terminal after performing S403, where the query request is used to query the Wi-Fi hotspot name information and/or the location information of the mobile terminal saved by the mobile terminal. If the wearable device does not receive the Wi-Fi hotspot name information and/or the location information of the mobile terminal within the preset time period, the wearable device can directly determine whether to enter the exercise mode according to the result output in S403.
  • the wearable device may, after acquiring the user's motion data and the name information and location information of the Wi-Fi hotspot sent by the mobile terminal, respectively analyze the user's behavior characteristics Judging with the user's location characteristics, and finally determining whether to remind the user to enter the sports mode.
  • the following describes a schematic flowchart of another method 500 for detecting a motion pattern provided by an embodiment of the present application in conjunction with the method 500, and the method 500 can be used in a wearable device. As shown in Figure 7, the method 500 includes:
  • the wearable device collects motion data of the user.
  • the wearable device performs parameter estimation.
  • the wearable device performs user behavior classification.
  • the wearable device determines whether the user is in an exercise state.
  • basketball mode as an example, if the wearable device determines S503 the user is obtained in the probability basketball or equal to a preset value P is greater than 1, the wearable device may determine that the user is in motion.
  • the wearable device determines that the probability that the user is in basketball sports obtained in S503 is P 1 greater than the probability P 2 of non-basketball sports, then the wearable device can determine that the user is in sports.
  • the wearable device may maintain the current state if the wearable device determines that the user is not exercising.
  • the wearable device determines that the user is in an exercise state, the wearable device acquires name information and/or location information of the Wi-Fi hotspot.
  • the wearable device may request the name information and/or location information of the Wi-Fi hotspot from the mobile terminal.
  • the wearable device may send a query request to the mobile terminal, where the query request is used to request name information and location information of the Wi-Fi hotspot.
  • the query request may be carried in a Bluetooth (Bluetooth low energy, BLE) data packet.
  • the wearable device may request the mobile terminal for name information and/or location information of the Wi-Fi hotspot after determining that the user is in motion, which can save signaling overhead between the wearable device and the mobile terminal. Unnecessary signaling interaction between the wearable device and the mobile terminal is avoided.
  • the wearable device can obtain the name information of surrounding Wi-Fi hotspots; or, if the wearable device has a satellite positioning system, the wearable device can obtain the user's current Or, if the wearable device has Wi-Fi function and a satellite positioning system, the wearable device can obtain the name information of surrounding Wi-Fi hotspots and the user's current location information.
  • the geographic coordinate information of the user and combined with the map information to determine the geographic location information of the user.
  • the wearable device may have a satellite positioning system but not include map information, then the wearable device may send the corresponding geographic coordinate information to the server, and receive the user's geographic location information from the server.
  • the wearable device may send the corresponding geographic coordinate information to the mobile terminal, and the mobile terminal may determine the geographic location information of the user in combination with the map information.
  • the mobile terminal can send the user's geographic location information to the wearable device.
  • the wearable device is Wi-Fi capable. When the wearable device determines that the user is exercising, the Wi-Fi function is not turned on. Then the wearable device can automatically turn on the Wi-Fi function when it is determined that the user is in an exercise state, so as to obtain the name information of the surrounding Wi-Fi hotspots.
  • the wearable device has a satellite positioning system.
  • the positioning function is not turned on. Then the wearable device can automatically turn on the positioning function when it is determined that the user is in motion, so as to obtain the current geographic coordinate information of the user.
  • the wearable device determines whether to obtain name information and/or location information of the Wi-Fi hotspot within a preset time period.
  • the wearable device may execute S509 to remind the user to enter the exercise mode.
  • the wearable device classifies the user's location.
  • the wearable device determines whether the user is in a sports field.
  • basketball mode as an example, if the wearable device determines the user is obtained in S507, the probability P 3 basketball court is greater than or equal to a preset value, the wearable device may determine that the user is in the sports field.
  • basketball mode as an example, if the wearable device is obtained in S507 to determine the probability P 3 basketball court is greater than the probability that the user is in the basketball court P 4, then the wearable device may determine that the user is in motion venue .
  • the wearable device may first determine whether the user is in a sports field through the acquired name information of the Wi-Fi hotspot.
  • the name information of the Wi-Fi hotspot obtained by the wearable device includes "basketball court", "sports”, etc., then the wearable device can determine that the user is in the basketball court, and the wearable device may not determine the location information at this time. , which directly determines that the user is in the sports field.
  • the wearable device determines that the user is performing a certain exercise according to the user's exercise parameters, and the wearable device determines that the user is in another exercise according to the acquired Wi-Fi hotspot name information and/or the user's location information In the sports field, the wearable device can prompt the user to choose one of the two sports modes.
  • FIG. 8 shows a schematic diagram of another scenario provided by an embodiment of the present application.
  • the display interface can display information such as time, weather, power, and unread messages.
  • the wearable device can collect motion data of the user through the sensor, and determine that the user is in a badminton state based on the collected motion data.
  • the display interface shown in (b) of FIG. 8 shows that the wearable device has been connected to a Wi-Fi hotspot named “Basketball Arena” on the display interface. convenience store” Wi-Fi router. At this time, the wearable device can determine that the user is in the basketball court according to the positioning function.
  • a display interface as shown in (c) of FIG. 8 may be displayed.
  • the wearable device can remind the user through text "detected that you are exercising, please select an exercise mode".
  • the sports modes that the wearable device can provide users include basketball sports mode and badminton sports mode. The user can choose to enter the badminton sport mode.
  • the wearable device can also perform statistics on historical records.
  • the wearable device can count the number of times the basketball mode and the badminton mode are turned on when the wearable device is in the "XX Middle School Basketball Court" or connected to the Wi-Fi router of the "Basketball Hall Convenience Store” within one month. If the number of times the user turns on the badminton mode is greater than the number of times the user turns on the basketball mode, the next time the wearable device determines that the user is playing badminton according to the user's motion parameters and the user's location information obtained by the wearable device is "XX middle school basketball court" or When connected to the Wi-Fi router of the "Basketball Hall Convenience Store", the wearable device can directly prompt the user whether to turn on the badminton mode.
  • the wearable device may first determine whether the user is in a sports field through the acquired name information of the Wi-Fi hotspot. Exemplarily, the wearable device may input the name information of the Wi-Fi hotspot into the stored name information database of the Wi-Fi hotspot to obtain the probability that the user is in the sports field. If the probability is less than the preset value, the wearable device can continue to determine whether the user is in the sports field through the location information.
  • the wearable device can input the location information into the stored location information database to obtain the probability that the user is in the sports field. If the probability is less than the preset value, the wearable device can determine that the user is not in the sports field; If the probability is greater than or equal to the preset value, the wearable device can determine that the user is in the sports field.
  • the wearable device determines that the user is in the sports field, the wearable device prompts the user to enter the sports mode.
  • the wearable device can periodically repeat the above process, and then can automatically enter or automatically exit the exercise mode.
  • the wearable device may perform data fusion to estimate the current behavioral characteristics of the user based on Wi-Fi hotspot information near the mobile terminal carried by the user, the user's location information, and the user's motion data collected by the wearable device. Thereby, the self-start/end detection of the basketball motion mode is realized.
  • FIG. 9 is another schematic flowchart illustrating a method 600 for initiating a motion mode provided by an embodiment of the present application.
  • the method can be performed by an electronic device, and the method 600 includes:
  • the electronic device acquires first motion data of a user.
  • the electronic device acquires first information, where the first information includes name information of Wi-Fi hotspots around the electronic device and/or first location information of the electronic device.
  • the electronic device can obtain name information of Wi-Fi hotspots around the electronic device through the Wi-Fi function; if the electronic device includes a positioning function, then the electronic device The device can obtain the first location information of the electronic device through the positioning function.
  • the method further includes: the electronic device enables the Wi-Fi function; and/or, if The electronic device determines through the first motion data that the positioning function of the electronic device is in a closed state when the user is in a motion state, and the method further includes: the electronic device starts the positioning function.
  • the electronic device may automatically activate the Wi-Fi function and/or the positioning function after determining that the user is in a motion state according to the first motion data, which can save power consumption of the electronic device.
  • the electronic device can obtain name information of Wi-Fi hotspots around the electronic device from another electronic device; if the electronic device does not include a positioning function, then The electronic device may acquire first location information of the electronic device from another electronic device.
  • the electronic device when the electronic device determines through the first motion data that the user is in motion, the electronic device requests name information of Wi-Fi hotspots around the electronic device from another electronic device; When the first movement data determines that the user is in a movement state, the electronic device requests the first position information of the electronic device from another electronic device.
  • the electronic device may request the name information and/or the first location information of the Wi-Fi hotspot from another electronic device after determining that the user is in motion according to the first motion data, which can save the power of the electronic device. consumption.
  • the first electronic device prompts the user to activate the exercise mode according to the first exercise data and the first information, or activates the exercise mode.
  • the first electronic device may combine the user's motion data and the user's location information to determine whether to prompt the user to enter the exercise mode or determine whether to directly enter the exercise mode, thereby helping to realize the self-starting of the exercise mode and avoiding It eliminates the tedious operation of the user and the loss of motion data caused by the user's forgetting, which helps to improve the user's experience.
  • the first electronic device prompts the user to activate the motion mode according to the first motion data and the first information, or, activating the motion mode includes: acquiring a first probability and a second probability, where the first probability is determined by The first motion data is obtained by inputting the first database, the second probability is obtained by inputting the first information into the second database, the first database is obtained by collecting the motion data of the user in a state of motion, and the second database is obtained by collecting The name information and location information of the Wi-Fi hotspot in the sports field are obtained; according to the first probability and the second probability, the user is prompted to activate the sports mode, or the sports mode is activated.
  • the first database may be the above-mentioned user behavior database
  • the second database may be the name information and location information database of Wi-Fi hotspots.
  • the process of how to prompt the user to activate the motion mode or directly activate the motion mode by using the first probability and the second probability is not specifically limited.
  • prompting the user to start the sports mode, or, starting the sports mode including:
  • the user is prompted to activate the exercise mode, or the exercise mode is activated.
  • the first electronic device when the first electronic device determines that the user is in motion and the first electronic device determines that the user is in a sports field, the first electronic device may prompt the user to activate the exercise mode, or directly activate the exercise mode. It helps to realize the self-start of the exercise mode, avoids the cumbersome operation of the user and the lack of exercise data caused by the user's forgetting, and helps to improve the user's experience.
  • the first electronic device determines that the user is in a motion state.
  • the first electronic device determines that the user is in the sports field.
  • prompting the user to start the sports mode, or, starting the sports mode including:
  • the user is prompted to activate the motion mode, or, the motion mode is activated.
  • the first electronic device may prompt the user to activate the exercise mode, or directly activate the exercise mode, when the average value of the first probability and the second probability is greater than or equal to a preset value. It helps to realize the self-start of the exercise mode, avoids the cumbersome operation of the user and the lack of exercise data caused by the user's forgetting, and helps to improve the user's experience.
  • the method 600 further includes:
  • the first electronic device obtains the second movement data of the user
  • the first electronic device acquires second information, where the second information includes name information of Wi-Fi hotspots around the first electronic device and/or second location information where the first electronic device is located;
  • the first electronic device When determining that the user is in a non-exercise state according to the second movement data, or when determining that the user is in a non-exercise field according to the second information, the first electronic device prompts the user to turn off the movement mode or turn off the movement mode.
  • the electronic device may prompt the user to turn off the sports mode or directly turn off the sports mode. It helps to realize the self-closing of the sports mode, avoids the cumbersome operation of the user and inaccurate movement data caused by the user forgetting to turn off, and helps to improve the user's experience.
  • the first electronic device determines that the user is in a non-exercise state according to the second movement data, including:
  • the first electronic device acquires a third probability, and the third probability is obtained by inputting the second motion data into the first database; when the third probability is smaller than the first preset value, the first electronic device determines that the user is not exercising state.
  • the first electronic device determines that the user is in a non-sports venue according to the second information, including:
  • the first electronic device obtains a fourth probability, and the fourth probability is obtained by inputting the second information into the second database; when the fourth probability is less than the second preset value, the first electronic device determines that the user is in a non-sports venue .
  • the electronic device may include the six-axis sensor 102 as shown in FIG. 1 , the processor 104 and the RF circuit 105 .
  • the six-axis sensor 102 can be used to perform the steps in the above S601;
  • the RF circuit 105 can be used in the above S602 to receive the name information and/or the first location information of the Wi-Fi hotspot received by another electronic device;
  • the processor 104 can be used to perform the steps in S603.
  • the RF circuit can be used to provide a Wi-Fi function, then the electronic device can obtain name information of Wi-Fi hotspots around the electronic device through the RF circuit.
  • the RF circuit can be used to provide a positioning function, then the electronic device can obtain the position information of the electronic device through the RF circuit.
  • the disclosed system, apparatus and method may be implemented in other manners.
  • the apparatus embodiments described above are only illustrative.
  • the division of the units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented.
  • the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and 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 in this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
  • the functions, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium.
  • the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution.
  • the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application.
  • the aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other media that can store program codes .

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Abstract

一种启动运动模式的方法和电子设备，所述方法包括：第一电子设备获取用户的第一运动数据；第二电子设备向第一电子设备发送第一信息，第一信息包括第二电子设备检测到的Wi-Fi热点的名称信息和/或第二电子设备所处的第一位置信息；第一电子设备根据第一运动数据和第一信息，提示用户启动运动模式，或者，启动运动模式。所述方法有助于实现运动模式的自启动，从而提高了电子设备的智能化程度，提升了用户体验。

Description

一种启动运动模式的方法和电子设备
本申请要求于2020年6月30日提交中国专利局、申请号为202010612362.1、申请名称为“一种启动运动模式的方法和电子设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及终端领域，并且更具体地，涉及一种启动运动模式的方法和电子设备。
背景技术
篮球是很受大众欢迎的一种运动项目，既是一种趣味娱乐项目，又兼有很好的健身锻炼功能，提高人体的生理机能，让身体均衡发展。在篮球运动中，可穿戴运动设备具有巨大的市场前景。
目前，市场已出现多种智能穿戴设备，如能量手环、脚环、计步鞋等，用来记录运动过程中的移动步数、距离、消耗的卡路里等参数，这些设备大部分多为跑步运动而设计。篮球是一项竞技运动，动作多样化，主要通过走跑、跑跳、纵跳、侧向移动等来完成。跳跃高度、跳跃次数、腾空时间等参数作为篮球技术统计指标的重要参数，反应了运动员的综合体质，后期可以辅助对运动员的综合能力进行全面评估和制定个性化的训练计划。
目前手环(或者脚环)常用的运动开启和结束的检测模式为手动启动或者根据语音控制启动，但常因其他原因(如用户误操作、漏启动等原因)造成手环篮球运动模式误启动或漏记，这样有可能导致整场无数据记录或者记录非篮球场景数据。
发明内容
本申请提供一种启动运动模式的方法和电子设备，该方法可以用于人工智能(artificial intelligence，AI)终端，有助于实现运动模式的自启动，从而提高了电子设备的智能化程度，提升了用户体验。
第一方面，提供了一种启动运动模式的方法，该方法应用于包括第一电子设备和第二电子设备的系统中，该第一电子设备和该第二电子设备通过短距无线通信技术连接，该方法包括：该第一电子设备获取用户的第一运动数据；该第二电子设备向该第一电子设备发送第一信息，该第一信息包括该第二电子设备检测到的Wi-Fi热点的名称信息和/或该第二电子设备所处的第一位置信息；该第一电子设备根据该第一运动数据和该第一信息，提示用户启动运动模式，或者，启动该运动模式。
本申请实施例中，第一电子设备可以结合用户的运动数据以及用户的位置信息，来确定是否提示用户进入运动模式或者确定是否直接进入运动模式，从而有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，有助于提升用户的体验。
在一些可能的实现方式中，该第一电子设备可以为可穿戴设备(例如，智能脚环)，该第二电子设备可以为手机。
结合第一方面，在第一方面的某些实现方式中，该第一电子设备根据该第一运动数据和该第一信息，提示用户启动运动模式，或者，启动该运动模式，包括：获取第一概率和第二概率，该第一概率由该第一运动数据输入第一数据库中得到，该第二概率由该第一信息输入第二数据库中得到，该第一数据库通过采集用户处于运动状态中的运动数据获得，该第二数据库通过采集运动场地中的Wi-Fi热点的名称信息和位置信息获得；根据该第一概率和该第二概率，提示用户启动该运动模式，或者，启动该运动模式。
本申请实施例中，通过机器学习的方式，第一电子设备可以获取第一概率和第二概率，第一电子设备可以根据第一概率和第二概率确定是否提示用户启动运动模式或者确定是否直接进入运动模式，有助于提升第一电子设备判断的准确性。
在一些可能的实现方式中，该第一数据库和第二数据库保存在第一电子设备中，第一电子设备可以将第一运动数据输入第一数据库中得到第一概率；第一电子设备可以将第一信息输入第二数据库中得到第二概率。
在一些可能的实现方式中，该第一数据库可以保存在云端服务器，第一电子设备可以将第一运动数据和第一信息上报给云端服务器，从而由云端服务器确定第一概率和第二概率后发送给第一电子设备。
在一些可能的实现方式中该第一概率和该第二概率也可以是由第二电子设备(例如，手机)确定的。第二电子设备在确定第一概率和第二概率后发送给第一电子设备。
结合第一方面，在第一方面的某些实现方式中，根据该第一概率和该第二概率，提示用户启动该运动模式，或者，启动该运动模式，包括：当该第一概率大于或者等于第一预设值且该第二概率大于或者等于第二预设值时，提示用户启动该运动模式，或者，启动该运动模式。
本申请实施例中，当第一电子设备确定用户处于运动状态中且第一电子设备确定用户处于运动场地中时，第一电子设备可以提示用户启动运动模式，或者，直接启动运动模式。有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，有助于提升用户的体验。
在一些可能的实现方式中，该第一概率大于或者等于第一预设值也可以理解为第一电子设备确定用户处于运动状态中。
在一些可能的实现方式中，该第二概率大于或者等于第二预设值也可以理解为第一电子设备确定用户处于运动场地中。
结合第一方面，在第一方面的某些实现方式中，根据该第一概率和该第二概率，提示用户启动该运动模式，或者，启动该运动模式，包括：当该第一概率和该第二概率的平均值大于或者等于预设值时，提示用户启动该运动模式，或者，启动该运动模式。
本申请实施例中，第一电子设备可以在第一概率和第二概率的平均值大于或者等于预设值时，提示用户启动运动模式，或者，直接启动运动模式。这样有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，从而有助于提升用户的体验。
结合第一方面，在第一方面的某些实现方式中，该方法还包括：该第一电子设备获取 用户的第二运动数据；该第二电子设备向该第一电子设备发送第二信息，该第二信息包括该第二电子设备检测到的Wi-Fi热点的名称信息和/或该第二电子设备所处的第二位置信息；该第一电子设备根据该第二运动数据确定用户处于非运动状态，或者，根据该第二信息确定用户处于非运动场地时，提示用户关闭该运动模式或者关闭该运动模式。
本申请实施例中，当第一电子设备确定处于非运动状态或者确定处于非运动场地时，电子设备可以提示用户关闭运动模式或者直接关闭运动模式。这样有助于实现运动模式的自关闭，避免了用户的繁琐操作以及因用户遗忘关闭而造成运动数据不准确，从而有助于提升用户的体验。
在一些可能的实现方式中，该第一电子设备根据该第二运动数据确定用户处于非运动状态，包括：该第一电子设备获取第三概率，该第三概率由第二运动数据输入第一数据库得到；在该第三概率小于该第一预设值时，该第一电子设备确定用户处于非运动状态。
在一些可能的实现方式中，该第一电子设备根据该第二信息确定用户处于非运动场地，包括：该第一电子设备获取第四概率，该第四概率由第二信息输入第二数据库得到；在该第四概率小于该第二预设值时，该第一电子设备确定用户处于非运动场地。
结合第一方面，在第一方面的某些实现方式中，该提示用户启动运动模式，包括：通过语音或者震动提示用户启动该运动模式。
结合第一方面，在第一方面的某些实现方式中，该第一电子设备上登录的账号和该第二电子设备上登录的账号相关联。
在一些可能的实现方式中，该第一电子设备上登录的账号和该第二电子设备上登录的账号可以是相同的账号；或者，该第一电子设备上登录的账号和该第二电子设备上登录的账号为同一家庭群组中的账号；或者，该第二电子设备上登录的账号可以是该第一电子设备上登录的账号授权过的账号。
第二方面，提供了一种启动运动模式的方法，该方法应用于第一电子设备中，该方法包括：该第一电子设备获取用户的第一运动数据；该第一电子设备获取第一信息，该第一信息包括该第一电子设备周围的Wi-Fi热点的名称信息和/或该第一电子设备所处的第一位置信息；该第一电子设备根据该第一运动数据和该第一信息，提示用户启动运动模式，或者，启动该运动模式。
本申请实施例中，第一电子设备可以结合用户的运动数据以及用户的位置信息，来确定是否提示用户进入运动模式或者确定是否直接进入运动模式，从而有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，有助于提升用户的体验。
在一些可能的实现方式中，该第一电子设备可以为可穿戴设备(例如，智能脚环)。
在一些可能的实现方式中，第一电子设备获取的第一信息可以是第二电子设备发送给第一电子设备。由于第一电子设备和第二电子设备是通过短距通信技术连接，所以可以理解为第二电子设备检测到的Wi-Fi热点的名称信息为第一电子设备周围的Wi-Fi热点的名称信息。
也可以理解为第二电子设备通过其定位功能获取的第一位置信息为第一电子设备的位置信息。
结合第二方面，在第二方面的某些实现方式中，该第一电子设备根据该第一运动数据 和该第一信息，提示用户启动运动模式，或者，启动该运动模式，包括：获取第一概率和第二概率，该第一概率由该第一运动数据输入第一数据库中得到，该第二概率由该第一信息输入第二数据库中得到，该第一数据库通过采集用户处于运动状态中的运动数据获得，该第二数据库通过采集运动场地中的Wi-Fi热点的名称信息和位置信息获得；根据该第一概率和该第二概率，提示用户启动该运动模式，或者，启动该运动模式。
本申请实施例中，通过机器学习的方式，第一电子设备可以获取第一概率和第二概率，第一电子设备可以根据第一概率和第二概率确定是否提示用户启动运动模式或者确定是否直接进入运动模式，有助于提升第一电子设备判断的准确性。
在一些可能的实现方式中，该第一数据库和第二数据库保存在第一电子设备中，第一电子设备可以将第一运动数据输入第一数据库中得到第一概率；第一电子设备可以将第一信息输入第二数据库中得到第二概率。
在一些可能的实现方式中，该第一数据库可以保存在云端服务器，第一电子设备可以将第一运动数据和第一信息上报给云端服务器，从而由云端服务器确定第一概率和第二概率后发送给第一电子设备。
结合第二方面，在第二方面的某些实现方式中，根据该第一概率和该第二概率，提示用户启动该运动模式，或者，启动该运动模式，包括：当该第一概率大于或者等于第一预设值且该第二概率大于或者等于第二预设值时，提示用户启动该运动模式，或者，启动该运动模式。
本申请实施例中，当第一电子设备确定用户处于运动状态中且第一电子设备确定用户处于运动场地中时，第一电子设备可以提示用户启动运动模式，或者，直接启动运动模式。有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，有助于提升用户的体验。
在一些可能的实现方式中，该第一概率大于或者等于第一预设值也可以理解为第一电子设备确定用户处于运动状态中。
在一些可能的实现方式中，该第二概率大于或者等于第二预设值也可以理解为第一电子设备确定用户处于运动场地中。
结合第二方面，在第二方面的某些实现方式中，根据该第一概率和该第二概率，提示用户启动该运动模式，或者，启动该运动模式，包括：当该第一概率和该第二概率的平均值大于或者等于预设值时，提示用户启动该运动模式，或者，启动该运动模式。
本申请实施例中，第一电子设备可以在第一概率和第二概率的平均值大于或者等于预设值时，提示用户启动运动模式，或者，直接启动运动模式。有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，有助于提升用户的体验。
结合第二方面，在第二方面的某些实现方式中，该方法还包括：该第一电子设备获取用户的第二运动数据；该第一电子设备获取第二信息，该第二信息包括该第一电子设备周围的Wi-Fi热点的名称信息和/或该第一电子设备所处的第二位置信息；该第一电子设备在根据该第二运动数据确定用户处于非运动状态时，或者，根据该第二信息确定用户处于非运动场地时，提示用户关闭该运动模式或者关闭该运动模式。
本申请实施例中，当第一电子设备确定处于非运动状态或者确定处于非运动场地时，电子设备可以提示用户关闭运动模式或者直接关闭运动模式。这样有助于实现运动模式的 自关闭，避免了用户的繁琐操作以及因用户遗忘关闭而造成运动数据不准确，从而有助于提升用户的体验。
在一些可能的实现方式中，该第一电子设备根据该第二运动数据确定用户处于非运动状态，包括：该第一电子设备获取第三概率，该第三概率由第二运动数据输入第一数据库得到；在该第三概率小于所述第一预设值时，该第一电子设备确定用户处于非运动状态。
在一些可能的实现方式中，该第一电子设备根据该第二信息确定用户处于非运动场地，包括：该第一电子设备获取第四概率，该第四概率由第二信息输入第二数据库得到；在该第四概率小于所述第二预设值时，该第一电子设备确定用户处于非运动场地。
结合第二方面，在第二方面的某些实现方式中，该提示用户启动该运动模式，包括：该第一电子设备通过语音或者震动提示用户启动该运动模式。
结合第二方面，在第二方面的某些实现方式中，该第一电子设备和第二电子设备通过短距无线通信技术连接，该第一电子设备获取第一信息，包括:该第一电子设备接收该第二电子设备发送的该第一信息。
本申请实施例中，对于没有Wi-Fi功能或者没有定位功能的第一电子设备，可以从第二电子设备处获取该第一信息。通过第二电子设备辅助第一电子设备判断，有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，有助于提升用户的体验。
结合第二方面，在第二方面的某些实现方式中，该第一电子设备上登录的账号和该第二电子设备上登录的账号相关联。
在一些可能的实现方式中，该第一电子设备上登录的账号和该第二电子设备上登录的账号可以是相同的账号；或者，该第一电子设备上登录的账号和该第二电子设备上登录的账号为同一家庭群组中的账号；或者，该第二电子设备上登录的账号可以是该第一电子设备上登录的账号授权过的账号。
第三方面，提供了一种装置，该装置包含在电子设备中，该装置具有实现上述第二方面可能实现方式中电子设备行为的功能。功能可以通过硬件实现，也可以通过硬件执行相应的软件实现。硬件或软件包括一个或多个与上述功能相对应的模块或单元。
第四方面，提供了一种电子设备，包括：一个或多个处理器；存储器；以及一个或多个计算机程序。其中，一个或多个计算机程序被存储在存储器中，一个或多个计算机程序包括指令。当指令被电子设备执行时，使得电子设备执行上述第二方面中任一项可能的实现中的启动运动模式的方法。
第五方面，本技术方案提供了一种计算机存储介质，包括计算机指令，当计算机指令在电子设备上运行时，使得电子设备执行上述第二方面任一项可能的实现中的启动运动模式的方法。
第六方面，本技术方案提供了一种计算机程序产品，当计算机程序产品在电子设备上运行时，使得电子设备执行上述第二方面任一项可能的设计中的启动运动模式的方法。
第七方面，本技术方案提供了一种芯片系统，该芯片系统包括至少一个处理器，当程序指令在该至少一个处理器中执行时，使得上述第二方面任一项可能的方法在电子设备上的功能得以实现。
第八方面，本技术方案提供了一种系统，该系统包括第一方面中任一项可能的方法中 的第一电子设备和第二电子设备。
附图说明
图1是本申请实施例提供的智能脚环的示意性结构图。
图2是本申请实施例提供的一种场景示意图。
图3是本申请实施例提供的另一种场景示意图。
图4是本申请实施例提供的另一种场景示意图。
图5是本申请实施例提供的启动运动模式的方法的示意性流程图。
图6是本申请实施例提供的启动运动模式的方法的另一示意性流程图。
图7是本申请实施例提供的启动运动模式的方法的另一示意性流程图。
图8是本申请实施例提供的另一种场景示意图。
图9是本申请实施例提供的启动运动模式的方法的另一示意性流程图。
具体实施方式
下面将结合附图，对本申请中的技术方案进行描述。
其中，在本申请实施例的描述中，除非另有说明，“/”表示或的意思，例如，A/B可以表示A或B；本文中的“和/或”仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，在本申请实施例的描述中，“复数个”或者“多个”是指两个或多于两个。
以下，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括一个或者更多个该特征。在本实施例的描述中，除非另有说明，“多个”的含义是两个或两个以上。
本申请实施例的技术方案适用于任何具有运动参数检测能力的电子设备中，该电子设备可以为手机等便携式电子设备；或者该电子设备也可以为可穿戴设备，例如，该可穿戴设备为智能手表、智能脚环、智能手环、智能手镯和智能眼镜等。
首先，以图1所示的智能脚环100为例对本申请实施例所适用的电子设备进行介绍。在本申请实施例中，该智能脚环100可以包括：压力传感器101，六轴传感器102、处理器104、射频(Radio Frequency，RF)电路105、电池106、存储器107、输入单元108、显示单元109、其他传感器110、音频电路111、扬声器112、震动装置113、充电管理模块以及电源管理模块等部件。本领域技术人员可以理解，图1中示出的智能脚环100的结构并不构成对智能脚环的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
下面结合图1对智能脚环100的各个构成部件进行具体的介绍：
压力传感器101，该压力传感器101可以检测到纳米级的壳体变形。示例性的，通过检测智能脚环100的后壳与使用者穿戴部位的压力值，从而反应出智能脚环100和使用者穿戴部位的贴合紧密度。
此外，该智能脚环100还可以包括其他传感器110，该其他传感器110可以为温度传感器、气压传感器等等。具体而言，温度传感器可以用于检测皮肤温度；气压传感器可以 通过用户所在位置的气压大小，计算出海拔高度。
六轴传感器102，用于获取智能脚环100中加速度传感器、陀螺仪传感器采集到的运动数据，通过数据融合方法实时估计出用户参数值，包括移动距离、步数、纵跳高度、移动速度等等。
应理解，本申请实施例中，六轴传感器102可以包括加速度传感器和陀螺仪传感器。
陀螺仪传感器可以用于确定智能脚环运动姿态。在一些实施例中，可以通过陀螺仪传感器确定智能脚环围绕三个轴(即X、Y和Z轴)的角速度。
加速度传感器可检测智能脚环在各个方向上(一般为三轴)加速度的大小。当智能脚环静止时可检测出重力的大小及方向。还可以用于识别智能脚环姿态，应用于横计步器等应用。
处理器104是智能脚环100的控制中心，利用各种接口和线路连接整个智能脚环的各个部分，通过运行或执行存储在存储器107内的软件程序和/或模块，以及调用存储在存储器107内的数据，执行智能脚环100的各种功能和处理数据，从而实现基于智能脚环100的多种业务。可选的，处理器104可包括一个或多个处理单元；优选的，处理器104可集成应用处理器和调制解调处理器，其中，应用处理器主要处理操作系统、用户界面和应用程序等，调制解调处理器主要处理无线通信。可以理解的是，上述调制解调处理器也可以不集成到处理器104中。
处理器104可以包括一个或多个处理单元，例如：处理器104可以包括应用处理器(application processor，AP)，调制解调处理器，图形处理器(graphics processing unit，GPU)，图像信号处理器(image signal processor，ISP)，控制器，视频编解码器，数字信号处理器(digital signal processor，DSP)，基带处理器，和/或神经网络处理器(neural-network processing unit，NPU)等。
其中，不同的处理单元可以是独立的部件，也可以集成在一个或多个处理器中。在一些实施例中，智能脚环100也可以包括一个或多个处理器104。其中，控制器可以根据指令操作码和时序信号，产生操作控制信号，完成取指令和执行指令的控制。在其他一些实施例中，处理器104中还可以设置存储器，用于存储指令和数据。示例性地，处理器104中的存储器可以为高速缓冲存储器。该存储器可以保存处理器104刚用过或循环使用的指令或数据。如果处理器104需要再次使用该指令或数据，可从所述存储器中直接调用。这样就避免了重复存取，减少了处理器104的等待时间，因而提高了智能脚环100处理数据或执行指令的效率。
处理器104可以基于六轴传感器102的数据对用户当前的运动行为进行分类，分类结果包括篮球运动、足球运动、排球运动等等运动模式以及非运动模式。
处理器104还可以对获取的Wi-Fi热点的名称信息和/或位置信息进行分类，分类结果可以包括用户处于运动场地(例如，篮球场、足球场、排球场等)以及用户处于非运动场地。
RF电路105可用于信号的接收和发送，通常，RF电路105包括但不限于天线、至少一个放大器、收发信机、耦合器、低噪声放大器(low noise amplifier，LNA)、双工器等。此外，RF电路105还可以通过无线通信与网络和其他设备通信。所述无线通信可以使用任一通信标准或协议，包括但不限于全球移动通讯系统(global system of mobile  communication，GSM)、通用分组无线服务(general packet radio service，GPRS)、码分多址(code division multiple access，CDMA)、宽带码分多址(wideband code division multiple access，WCDMA)、长期演进(long term evolution，LTE)、电子邮件、短消息服务(short messaging service，SMS)等。
RF电路105也可以提供应用在智能脚环100上的包括无线局域网(wireless local area networks，WLAN)(如Wi-Fi网络)、蓝牙(bluetooth，BT)，全球导航卫星系统(global navigation satellite system，GNSS)、调频(frequency modulation，FM)、近距离无线通信技术(near field communication，NFC)、红外技术(infrared，IR)等无线通信的解决方案。
示例性的，GNSS可以包括全球定位系统(global positioning system，GPS)、格洛纳斯卫星导航系统(global navigation satellite system，GLONASS)、伽利略卫星导航系统(galileo satellite navigation system，GALILEO)或者北斗卫星当行系统(Bei Dou navigation satellite system，BDS)。
本申请实施例中，智能脚环100可以通过RF电路105接收移动终端(例如，手机)发送来的移动终端附近的Wi-Fi热点的名称信息和/或移动终端的位置信息(例如，移动终端的全球定位系统(global positioning system，GPS)信息)，处理器104可以基于以上信息确定用户是否处于运动场地或者处理器104可以基于以上信息确定用户处于运动场地的概率。
存储器107可用于存储软件程序以及模块，处理器104通过运行存储在存储器107的软件程序以及模块，从而执行智能脚环100的各种功能应用以及数据处理。存储器107可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序(比如声音播放功能、图像播放功能等)等；存储数据区可存储根据智能脚环100的使用所创建的数据(比如音频数据等)等。此外，存储器107可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
输入单元108可用于接收输入的数字或字符信息，以及产生与智能脚环100的用户设置以及功能控制有关的键信号输入。具体地，输入单元108可包括触控面板181以及其他输入设备182。触控面板181，也称为触摸屏，可收集用户在其上或附近的触摸操作(比如用户使用手指、触笔等任何适合的物体或附件在触控面板181上或在触控面板181附近的操作)，并根据预先设定的程式驱动相应的连接装置。可选的，触控面板181可包括触摸检测装置和触摸控制器两个部分。其中，触摸检测装置检测用户的触摸方位，并检测触摸操作带来的信号，将信号传送给触摸控制器；触摸控制器从触摸检测装置上接收触摸信息，并将它转换成触点坐标，再送给处理器104，并能接收处理器104发来的命令并加以执行。此外，可以采用电阻式、电容式、红外线以及表面声波等多种类型实现触控面板。除了触控面板181，输入单元108还可以包括其他输入设备182。具体地，其他输入设备182可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆等中的一种或多种。
显示单元109可用于显示由用户输入的信息或提供给用户的信息以及智能脚环100的各种菜单。当处理器104判断用户正处于篮球运动中时，可以通过显示单元109提示用户 当前正处于运动模式中，或者，可以通过显示单元109提醒用户确认是否进入运动模式。显示单元109可包括显示面板191，可选的，可以采用液晶显示屏(liquid crystal display，LCD)、有机电激光显示(organic light-emitting diode，OLED)等形式来配置显示面板191。进一步的，触控面板181可覆盖显示面板191，当触控面板181检测到在其上或附近的触摸操作后，传送给处理器104以确定触摸事件的类型，随后处理器104根据触摸事件的类型在显示面板191上提供相应的视觉输出。虽然在图1中，触控面板181与显示面板191是作为两个独立的部件来实现智能脚环100的输入和输入功能，但是在某些实施例中，可以将触控面板181与显示面板191集成而实现智能脚环100的输入和输出功能。
音频电路111、扬声器112可提供用户与智能脚环100之间的音频接口。当处理器104确定进入运动模式时，则可以通过音频电路111、扬声器112输出，以提醒用户确认是否进入运动模式或者提示用户智能脚环100已经进入运动模式。音频电路111可将接收到的音频数据转换后的电信号，传输到扬声器112，由扬声器112转换为声音信号输出。
震动装置113可以通过震动的方式提醒用户注意。当处理器104确定进入运动模式时，震动装置113可以通过震动装置113提醒用户，以便于用户在收到震动提醒后，通过显示单元109确认是否进入运动模式；或者，震动装置113也可以提示用户智能脚环100已经进入运动模式。
充电管理模块用于从充电器接收充电输入。其中，充电器可以是无线充电器，也可以是有线充电器。在一些有线充电的实施例中，充电管理模块可以通过USB接口接收有线充电器的充电输入。在一些无线充电的实施例中，充电管理模块可以通过智能脚环100的无线充电线圈接收无线充电输入。充电管理模块为电池106充电的同时，还可以通过电源管理模块为电子设备供电。
电源管理模块用于连接电池106，充电管理模块与处理器104。电源管理模块接收电池106和/或充电管理模块的输入，为处理器104、存储器107、显示单元109等供电。电源管理模块还可以用于监测电池容量、电池循环次数、电池健康状态(漏电，阻抗)等参数。在其他一些实施例中，电源管理模块也可以设置于处理器104中。在另一些实施例中，电源管理模块和充电管理模块也可以设置于同一个器件中。
可以理解的是，本申请实施例示意的结构并不构成对智能脚环100的具体限定。在本申请另一些实施例中，智能脚环100可以包括比图示更多或更少的部件，或者组合某些部件，或者拆分某些部件，或者不同的部件布置。图示的部件可以以硬件，软件或软件和硬件的组合实现。本申请实施例可以应用于智能手环、智能手镯、智能眼镜等终端设备，本申请实施例对此不做限定。
图2是本申请实施例提供的一种场景示意图。如图2所示，当用户正在打篮球时，用户的智能脚环中的六轴传感器可以采集用户的运动数据，从而通过对用户的运动数据并的分析，判断用户已经在篮球运动中；此外，智能脚环还可以接收到移动终端(例如，手机)发送的移动终端附近的Wi-Fi热点的名称信息(示例性的，手机连接的Wi-Fi热点名称为“篮球馆”)以及手机的GPS信息(示例性的，手机的GPS定位在“第一中学篮球馆”)，从而通过对用户位置信息的分析，判断用户已经在篮球运动中。
本申请实施例中，移动终端附近的Wi-Fi热点的名称信息可以包括移动终端已经连接的Wi-Fi热点的名称信息以及Wi-Fi热点的名称信息未连接但是已经检测到的周围的 Wi-Fi热点的名称信息。
在智能脚环确定用户正在打篮球且处于篮球场地中后，智能脚环可以通过不同的方式提醒用户。
示例性的，如图2所示，智能脚环可以通过显示屏提示用户“检测到您正在打篮球，请您确定是否进入篮球运动模式？”当智能脚环检测到用户点击“是”时，智能脚环进入篮球运动模式。
进入篮球模式后，智能脚环可以对用户打篮球时走跑、跳跃、转身变向等动作进行检测；智能脚环可以展示的数据有移动距离、移动步数、移动速度、转身变向次数、跳跃次数、跳跃高度、腾空时间等。
应理解，当智能脚环检测到用户正在打篮球且用户位于篮球场地时，智能脚环可以通过震动的方式提示用户在显示屏上有信息需要用户确认，用户在看到智能脚环上的信息后可以进行操作，从而使得智能脚环进入篮球运动模式。
一个实施例中，在智能脚环确定用户正在打篮球且处于篮球场地中后，智能脚环也可以自动进入篮球运动模式，同时通过语音提示或者震动提示的方式提醒用户智能脚环已经进入篮球运动模式。
示例性的，智能脚环可以通过语音提示的方式提醒用户“检测到您正在打篮球，已为您开启篮球运动模式”。
示例性的，智能脚环也可以通过震动提示的方式提醒用户智能脚环已进入篮球运动模式。
示例性的，智能脚环还可以通过语音提示或者震动提示的方式提醒用户是否进入篮球模式，当智能脚环检测到用户确定进入篮球模式的指令后(例如，智能脚环检测到用户的语音指令后进入篮球模式；或者智能脚环在显示屏上检测到用户点击确定进入篮球模式的控件)，进入篮球模式。
还应理解，上述几种提示方式仅仅是示意性的，智能脚环还可以通过其他方式提醒用户。例如，可以通过语音提醒和震动提醒相结合的方式，在智能脚环发出震动的同时，语音提示用户“检测到您正在打篮球，请您确定是否进入篮球运动模式？”。
图3示出了本申请实施例提供的另一种场景示意图。
如图3中的(a)所示的显示界面，该显示界面上可以显示时间、天气、电量以及未读消息等等信息。当用户在打篮球时，可穿戴设备可以通过传感器对用户的运动数据进行采集，并且基于采集到的运动数据确定处于篮球状态中。
如图3中的(b)所示的显示界面，相比于图3中的(a)所示的显示界面，该显示界面上显示可穿戴设备已经连接了周围的Wi-Fi路由器且该Wi-Fi路由器的Wi-Fi热点名称为“篮球馆便利店”。此时，可穿戴设备可以根据该Wi-Fi热点名称确定用户处于篮球场地中。
当可穿戴设备确定用户处于篮球状态中且处于篮球场地中时，可以显示如图3中的(c)所示的显示界面。可穿戴设备可以通过文字提醒用户“检测到您正在打篮球，是否进入篮球运动模式”。当可穿戴设备检测到用户点击“是”后，可穿戴设备进入篮球运动模式。
一个实施例中，可穿戴设备也可以不用采集用户的运动数据。当可穿戴设备确定已经连接了周围的Wi-Fi路由器且该Wi-Fi路由器的Wi-Fi热点名称为“篮球馆便利店”后，可 穿戴设备可以根据历史记录确定是否提示用户进入篮球运动模式。
示例性的，可穿戴设备的历史记录中记录可穿戴设备10次连接Wi-Fi热点名称为“篮球馆便利店”的Wi-Fi路由器后，有8次进入了篮球运动模式。那么可穿戴设备可以确定在连接了该Wi-Fi路由器后，用户希望可穿戴设备进入篮球运动模式。从而可穿戴可以提示用户是否进入篮球运动模式。
图4示出了本申请实施例提供的另一种场景示意图。
如图4中的(a)所示的显示界面，该显示界面上可以显示时间、天气、电量以及未读消息等等信息。当用户在打篮球时，可穿戴设备可以通过传感器对用户的运动数据进行采集，并且基于采集到的运动数据确定处于篮球状态中。
如图4中的(b)所示的显示界面，相比于图4中的(a)所示的显示界面，该显示界面上显示可穿戴设备已经开启了定位功能。此时，可穿戴设备可以根据定位功能确定用户处于篮球场地中。
当可穿戴设备确定用户处于篮球状态中且处于篮球场地中时，可以显示如图4中的(c)所示的显示界面。可穿戴设备可以通过文字提醒用户“检测到您正在打篮球，是否进入篮球运动模式”。当可穿戴设备检测到用户点击“是”后，可穿戴设备进入篮球运动模式。
一个实施例中，可穿戴设备也可以不用采集用户的运动数据。当可穿戴设备在根据定位功能确定用户所处的位置，可穿戴设备可以根据历史记录确定是否提示用户进入相应的运动模式。
示例性的，可穿戴设备的历史记录中记录可穿戴设备10次处于篮球场时，有8次进入了篮球运动模式。那么可穿戴设备可以确定在处于篮球场后，用户希望可穿戴设备进入篮球运动模式。从而可穿戴可以提示用户是否进入篮球运动模式。
本申请实施例中，电子设备可以结合用户的运动数据以及用户的位置信息，来确定是否提示用户进入运动模式或者确定是否直接进入运动模式，从而有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，有助于提升用户的体验。
图5示出了本申请实施例提供的启动运动模式的方法300的示意性流程图，该方法300可以用于可穿戴设备。如图5所示，该方法300包括：
S301，可穿戴设备基于六轴传感器采集的运动数据，检测识别出用户的运动参数，并对当前的运动行为进行分类，分类结果包括用户处于运动状态或者用户处于非运动状态。
本申请实施例中，可穿戴设备可以根据用户的运动参数对用户当前的运动进行分类，其分类结果还可以细分为篮球运动、足球运动、排球运动、乒乓球运动等等运动以及非运动。
示例性的，对于篮球运动和足球运动，可以通过识别出的运动参数来判断用户在进行哪一项运动。例如，可穿戴设备识别出的运动参数中包括用户转向、起跳等参数，并且这些参数满足预设条件，那么可穿戴设备可以确定用户处于篮球运动中；如果可穿戴设备识别出的运动参数中包括用户直线加速、腿部动作等参数，且这些参数满足预设条件，那么可穿戴设备可以确定用户处于足球运动中。
示例性的，对于篮球运动和排球运动，如果可穿戴设备识别出的运动参数中包含了起跳、移动等等，可以通过其他参数来判断用户正在进行哪一项运动。例如，可穿戴设备识 别出的运动参数中还包括转向，那么可穿戴设备可以确定用户处于篮球运动中；否则，如果识别出的运动参数中不包含转向，那可穿戴设备可以确定用户处于排球运动中。
应理解，以上仅仅通过一些示例介绍了可穿戴设备如何区别篮球运动、足球运动、排球运动等等运动模式，本申请实施例中对此并不作任何限定。
S302，可穿戴设备接收移动终端发送的Wi-Fi热点名称信息和/或位置信息。
本申请实施例中，可穿戴设备和移动终端(例如，手机)之间可以通过近距离无线通信的方式建立连接。示例性的，可穿戴设备可以和移动终端之间建立蓝牙连接或者Wi-Fi连接。那么移动终端可以通过近距离无线通信向可穿戴设备发送Wi-Fi热点名称信息和/或位置信息。
一个实施例中，可穿戴设备和移动终端可以登录相同的账号，那么移动终端也可以通过云端服务器向可穿戴设备发送Wi-Fi热点名称信息和/或位置信息。
S303，可穿戴设备根据Wi-Fi热点名称信息和/或位置信息对用户当前所处位置进行分类，分类结果包括用户处于运动场地与用户处于非运动场地。
本申请实施例中，可穿戴设备可以根据用户的位置信息对用户当前所处位置进行分类，其分类结果还可以细分为篮球场、足球场、排球场、乒乓球场等运动场地以及非运动场地。
应理解，该位置信息可以是移动终端结合卫星定位系统以及地图信息确定的一个位置信息。
示例性的，如果可穿戴设备接收到移动终端发送的Wi-Fi热点名称信息，可穿戴设备如果判断Wi-Fi热点名称信息包含“篮球场”“篮球运动”或者“篮球竞技”等信息，那么可穿戴设备可以确定用户处于篮球场中。
示例性的，如果可穿戴设备接收到移动终端发送的位置信息，可穿戴设备如果判断位置信息包含“XX中学篮球场”、“篮球馆”等信息，那么可穿戴设备可以确定用户处于篮球场中。
示例性的，如果可穿戴设备接收到移动终端发送的Wi-Fi热点名称信息以及位置信息，可穿戴设备可以在确定上述Wi-Fi热点的名称信息或者位置信息满足预设条件时，确定用户处于篮球场地中；或者，可穿戴设备也可以在确定上述Wi-Fi热点的名称信息和位置信息均满足预设条件时，确定用户处于篮球场地中。
应理解，S301和S302-S303之间可以没有实际的先后顺序。
S304，基于S301和S303中的分类结果，对用户当前的行为进行最终判断，判断结果分为进入运动模式或者不进入运动模式。
一个实施例中，当S301和S303的分类结果满足第一预设条件时，所述可穿戴设备提示用户启动运动模式。
该第一预设条件包括但不限于：S301中的分类结果为用户处于运动状态且S303的分类结果为用户处于运动场地中。
示例性的，若S301中可穿戴设备判断用户正处于篮球运动中，S303中可穿戴设备判断用户当前处于篮球场，那么可穿戴设备可以自动打开篮球运动模式，或者，可穿戴设备可以提醒用户是否进入篮球运动模式；否则，可穿戴设备不进入运动模式(保持当前状态)。
示例性的，可穿戴设备接收移动终端发送的Wi-Fi热点的名称信息。若S301中可穿 戴设备根据采集的运动数据确定用户正在处于篮球运动中，且S303中可穿戴设备确定Wi-Fi热点的名称信息包括“篮球”等信息，那么可穿戴设备可以提示用户启动运动模式。
示例性的，可穿戴设备接收移动终端发送的位置信息。若S301中可穿戴设备根据采集的运动数据确定用户正在处于篮球运动中，且S303中可穿戴设备确定位置信息包括“篮球馆”、“操场”等信息，那么可穿戴设备可以提示用户启动运动模式。
示例性的，可穿戴设备接收移动终端发送的Wi-Fi热点的名称信息和位置信息。若S301中可穿戴设备根据采集的运动数据确定用户正在处于篮球运动中，S303中可穿戴设备确定Wi-Fi热点的名称信息包括“篮球场”、“篮球运动”等信息且S303中可穿戴设备确定位置信息包括“篮球馆”、“操场”等信息，那么可穿戴设备可以提示用户启动运动模式。
一个实施例中，可穿戴设备可以每隔一定时间间隔进行检查判断，如分类结果仍为篮球运动，则可穿戴设备保持静默，维持当前的状态；如果为非篮球运动，则可穿戴设备可以通过如图2所示的提醒方式提醒用户已经关闭篮球运动模式(或者，提醒用户是否关闭篮球运动模式)。
一个实施例中，若可穿戴设备在某个时间间隔内确定采集的用户的运动数据不满足第二预设条件，或者，可穿戴设备在某个时间间隔内接收到的Wi-Fi热点的名称信息和/或位置信息不满足第三预设条件时，可穿戴设备可以提示用户关闭运动模式。
示例性的，可穿戴设备在某个时间间隔内确定采集的用户的运动数据不满足第二预设条件，包括：可穿戴设备根据采集的运动数据判断用户处于非运动状态。
示例性的，可穿戴设备在某个时间间隔内接收到的Wi-Fi热点的名称信息和/或位置信息不满足第三预设条件，包括：可穿戴设备通过Wi-Fi热点的名称信息确定用户不在运动场地中；或者，可穿戴设备通过位置信息确定用户不在运动场地中；或者，可穿戴设备通过Wi-Fi热点的名称信息和位置信息确定用户不在运动场地中。
一个实施例中，若可穿戴设备在某个时间间隔内确定采集的用户的运动数据不满足第二预设条件且可穿戴设备在某个时间间隔内接收到的Wi-Fi热点的名称信息和/或位置信息不满足第三预设条件时，可穿戴设备可以提示用户关闭运动模式。
本申请实施例中，当可穿戴设备确定处于非运动状态或者确定处于非运动场地时，可穿戴设备可以提示用户关闭运动模式或者直接关闭运动模式。这样有助于实现运动模式的自关闭，避免了用户的繁琐操作以及因用户遗忘关闭而造成运动数据不准确，从而有助于提升用户的体验。
一个实施例中，可穿戴设备也可以根据可穿戴设备保存的历史位置记录，确定是否进入运动模式。
例如，当用户位于“XX中学操场”时用户在可穿戴设备上手动选择进入运动模式。那么下一次用户到达“XX中学操场”时，可穿戴设备可以提示用户启动运动模式。
又例如，可穿戴设备的历史记录中，用户在10次位于“XX中学操场”中有8次选择手动进入运动模式。那么下一次用户到达“XX中学操场”时，可穿戴设备可以提示用于启动运动模式。
本申请实施例中，可穿戴设备可以结合用户的运动数据以及用户的位置信息，来确定是否提示用户进入运动模式或者确定是否直接进入运动模式，从而有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，有助于提升用户的 体验。
下面通过可穿戴设备通过机器学习的方式确定是否进入运动模式的过程进行说明。
图6示出了本申请实施例提供的启动运动模式的方法400的示意性流程图，该方法400可以用于可穿戴设备。如图6所示，该方法400包括：
S401，可穿戴设备采集用户的运动数据。
可穿戴设备的六轴传感器采集用户当前的陀螺仪传感器以及加速度传感器的数据，并将采集得到的运动数据传输给可穿戴设备的处理器。
S402，可穿戴设备进行参数估计。
可穿戴设备的处理器对基于一定采样周期Δt(示例性的，采样周期可设为Δt＝5min)集得到的运动数据，进行参数估计得到用户当前的运动参数，包括移动速度、转向次数、横向移动距离、纵跳高度等参数。
例如，可穿戴设备上的加速度传感器可以直接获取所测部位各个方向上的加速度。可穿戴设备可以对垂直加速度进行计算，从跳跃前对加速度曲线进行定积分，得到任意时刻的速度。对速度曲线进行特定区间的定积分计算，得到人体垂直位移曲线。通过人体垂直位移曲线，可以分析获得起跳过程中的纵跳高度。
S403，可穿戴设备进行用户行为分类。
可穿戴设备的处理器可以基于上述参数估计结果与可穿戴设备中的用户行为数据库，采用机器学习方法，对用户当前的运动行为进行分类，分类结果包括篮球运动与非篮球运动中的一种，且给出该行为结果的概率，如篮球运动的概率为P 1、非篮球运动的概率为P 2。
S404，可穿戴设备获取移动终端发送的Wi-Fi热点的名称信息和/或移动终端的位置信息。
用户携带的移动终端如手机等，通过Wi-Fi模块扫描获取用户所处位置的全部WiFi热点的名称信息，并存入移动设备的存储单元。
用户携带的移动终端如手机等，通过手机上的卫星定位系统(例如，GPS、北斗卫星定位系统等)获取用户当前的地理坐标信息(经度、纬度、海拔高度等信息)，结合地图信息，从而获得用户的地理位置信息(如“第一中学篮球馆”)，并将其存入移动设备的存储单元。
一个实施例中，移动终端还可以结合室内定位的方法，确定用户的地理位置信息。例如，移动终端可以使用基于位置的服务(location based services，LBS)来确定用户在室内的位置。例如，移动终端使用室内定位的方法确定用户处于篮球馆或者商场内。
一个实施例中，可穿戴设备也可以具有卫星定位系统，那么可穿戴设备可以获取用户当前的地理坐标信息，结合地图信息，从而获得用户的地理位置信息。
应理解，本申请实施例中的地图信息可以是终端设备中保存的地图信息，或者，也可以是云端服务器保存的，或者，也可以是可穿戴设备保存的地图信息。
如果是云端服务器保存的地图信息，那么移动终端或者可穿戴设备在获取当前的地理坐标信息后，可以将地理坐标信息发送给云端服务器。云端服务器可以结合地理坐标信息以及地图信息，将用户的地理位置信息发送给手机或者可穿戴设备。
或者，如果是手机保存的地图信息，那么可穿戴设备可以在获取当前的地理坐标信息 后，将地理坐标信息发送给手机。手机可以结合可穿戴设备发送的地理坐标信息以及地图信息得到用户的地理位置信息。手机可以将该用户的地理位置信息发送给可穿戴设备。
可穿戴设备与移动终端通过蓝牙等近距离通讯方式，可穿戴设备可以向移动终端请求Wi-Fi热点名称信息和/或用户的位置信息，并在获取这些信息后将其存入可穿戴设备的存储单元。
一个实施例中，可穿戴设备也可以具备Wi-Fi功能，那么可穿戴设备可以直接通过Wi-Fi功能获取周围的Wi-Fi热点的名称。
一个实施例中，可穿戴设备在确定S403中输出的概率P 1大于或者等于预设值后，向移动终端发送查询请求，该查询请求用于查询移动终端获取的Wi-Fi热点名称信息和/或用户的位置信息。移动终端在接收到该查询请求后，可以向可穿戴设备发送查询结果，该查询结果中包括Wi-Fi热点名称信息和/或用户的地理位置信息。
本申请实施例中，可穿戴设备中保存的用户行为数据库中可以保存有训练数据集，其中，训练数据集可以是通过采集的不同用户打篮球时的运动参数得到。当可穿戴设备进行参数估计得到运动参数后，可穿戴设备可以将运动参数输入该用户行为数据库中，从而得到概率P 1。概率P 1也可以理解为可穿戴设备进行参数估计得到的运动参数和训练数据集中保存的运动参数的匹配度。这样可穿戴设备可以将用户的运动数据量化为概率值。
由于可穿戴设备无法直接通过运动参数来确定用户是否处于运动状态中。通过机器学习的方式可以对这些数据进行量化处理，从而有助于可穿戴设备通过量化后的概率值判断用户是否处于运动状态。同时，通过机器学习的方式也有助于提升检测精度。
应理解，可穿戴设备也可以在S402之后就向移动终端发送该查询请求。
S405，基于S404中获取的信息和可穿戴设备中Wi-Fi热点的名称信息和/或位置信息数据库，采用机器学习方法，对用户当前的位置进行分类。
应理解，本申请实施例中，可穿戴设备可以保存有Wi-Fi热点的名称信息与位置信息数据库，这个数据库可以是通过大量数据统计获得。
例如，可以通过采集某个城市所有的篮球场地的Wi-Fi热点的名称信息，并将采集的数据保存在这个数据库中。
又例如，可以通过百度地图、高德地图等等提取这些地图数据中跟篮球场地相关的位置信息，并将提取到的数据保存在这个数据中。
示例性的，可穿戴设备中保存的Wi-Fi热点的名称信息与位置信息数据库中记录了某城市100个篮球运动场地中每个篮球场地的位置信息以及每个篮球场地周围的Wi-Fi热点的名称信息。当可穿戴设备获取到的Wi-Fi热点的名称信息包括“XX便利店”，那么可穿戴设备可以将获取的Wi-Fi热点的名称信息与数据库记录的信息进行匹配。例如，“XX便利店”为某个篮球场地内的便利店的Wi-Fi热点的名称，那么可穿戴设备可以确定用户处于篮球场内。
还应理解，上述Wi-Fi热点的名称信息与位置信息数据库可以是一个数据库，也可以将该数据库分为Wi-Fi热点的名称信息数据库和位置信息数据库。
示例性的，分类结果包括处于运动场地的概率以及用户处于非篮球场地的概率，如用户处于篮球场的概率为P 3，用户处于非篮球场的概率为P 4。
示例性的，可穿戴设备中保存的Wi-Fi热点的名称信息与位置信息数据库中记录的 “XX便利店”为某个篮球场地内的便利店的Wi-Fi热点的名称。一段时间后，该篮球场地内的便利店的Wi-Fi热点的名称更新为“XX便利商店”，那么可穿戴设备可以根据更新后的Wi-Fi热点的名称与原始的Wi-Fi热点的名称的匹配度，输出用户处于篮球场的概率为P 3。
本申请实施例中，可穿戴设备中保存Wi-Fi热点的名称信息与位置信息数据库。当可穿戴设备获取到Wi-Fi热点的名称信息和/或位置信息后，可穿戴设备可以将Wi-Fi热点的名称信息和/或位置信息输入该数据库中，从而得到概率P 3。概率P 3也可以理解为可穿戴设备获取的Wi-Fi热点的名称信息和/或位置信息与数据库的匹配度。这样可穿戴设备可以将用户的位置特征量化为概率值。
由于可穿戴设备无法直接通过Wi-Fi热点的名称信息以及位置信息来确定用户是否处于运动场地中。通过机器学习的方式可以对这些数据进行量化处理，从而有助于可穿戴设备通过量化后的概率值判断用户是否处于运动场地。同时，通过机器学习的方式也有助于提升检测精度。
一个实施例中，上述Wi-Fi热点的名称信息与位置信息数据库也可以保存在手机中，可穿戴设备可以向移动终端发送查询请求，该查询请求可以用于请求手机对用户当前的位置进行分类，手机可以将检测到的Wi-Fi热点的名称信息与位置信息输入Wi-Fi热点的名称信息与位置信息数据库，得到用户处于运动场地的概率以及用户处于非篮球场地的概率。从而手机可在向手机发送的查询结果中携带用户处于运动场地的概率。
S406，基于用户的行为特征和位置信息，对用户行为进行最终分类，分类结果包括进入运动模式与不进入运动模式。
本申请实施例中，S403和S405中的得到的分类结果是为了可穿戴设备最终分类做准备。可以将S403和S405中的得到的分类结果作为参数输入，经过可穿戴设备的计算输出最终的分类结果。或者，可穿戴设备可以结合S403和S405中的得到的分类结果进行数据融合，得到最终的分类结果。
示例性的，可穿戴设备可以结合S403输出的概率P 1和S405输出的概率P 3，根据预设的计算方式，来确定最终分类结果。
一个实施例中，可穿戴设备可以基于P 1和P 3的平均值和预设值比较的结果，对用户行为进行分类。示例性的，如果该平均值大于或者等于该预设值，那么分类结果为进入运动模式；如果平均值小于该预设值，那么分类结果为不进入运动模式。
本申请实施例中，可穿戴设备可以通过计算P 1和P 3的平均值与预设值比较，从而将可穿戴设备采集到的用户的运动数据以及获取到的位置信息进行量化。有助于可穿戴设备通过量化后的概率值判断是否自动进入运动模式，或者，是否提示用户进入运动模式。
应理解，该预设值可以为可穿戴设备中预先保存的一个阈值。或者，可穿戴设备在计算得到平均值后，可以从服务器(服务器可以通过大数据计算出该预设值)获取该预设值。本申请实施例对比并不作限定。
一个实施例中，可穿戴设备可以在确定于P 1大于或者等于第一预设值且P 3大于或者等于第二预设值时，确定最终的分类结果为进入运动模式。
可穿戴设备可以在确定P 1小于第一预设值，确定最终的分类结果为不进入运动模式；或者，可穿戴设备可以在确定P 3小于第二预设值，确定最终的分类结果为不进入运动模式；或者，可穿戴设备可以在确定P 1小于第一预设值且P 3小于第二预设值，确定最终的分类结 果为不进入运动模式。
一个实施例中，可穿戴设备可以基于P 1和P 3的总和与P 2和P 4的总和比较的结果，对用户行为进行分类。示例性的，如果P 1和P 3的总和大于P 2和P 4的总和，那么分类结果为进入运动模式；如果P 1和P 3的总和小于P 2和P 4的总和，那么分类结果为不进入运动模式。
示例性的，分类结果若为篮球运动，则可穿戴设备自动开启篮球运动模式，且通过语音播报或者震动方式提醒用户可穿戴设备已开启篮球运动模式(或者，进一步还可以请用户再次确认是否开启运动模式)；若为非篮球运动，则可穿戴设备不开启篮球运动模式。
一个实施例中，每隔一定时间间隔(如Δt＝5min)进行检查判断一次，如分类结果仍为进入运动模式，则可穿戴设备保持静默，维持当前的状态；如果为不进入运动模式，则通过语音播报或者震动方式提醒用户电子设备已即将关闭篮球运动模式(或者，进一步还可以请用户再次确认是否关闭运动模式)。
本申请实施例中，可穿戴设备可以基于用户携带的移动终端附近的Wi-Fi热点信息、用户的位置信息与可穿戴设备采集的用户的运动数据，进行数据融合估计出用户当前的行为特征，从而实现篮球运动模式的自启动/结束检测。
一个实施例中，可穿戴设备可以在执行完S403后向移动终端发送查询请求，该查询请求用于查询移动终端保存的Wi-Fi热点名称信息和/或移动终端的位置信息。如果在预设时长内可穿戴设备没有接收到Wi-Fi热点名称信息和/或移动终端的位置信息，那么可穿戴设备可以直接根据S403输出的结果判断是否进入运动模式。
以上介绍了方法300和方法400，其中，方法300和方法400中可穿戴设备可以是在获取用户的运动数据以及移动终端发送的Wi-Fi热点的名称信息和位置信息后，分别对用户行为特征和用户位置特征进行判断，最终判断是否提醒用户进入运动模式。下面结合方法500介绍本申请实施例提供的另一种检测运动模式的方法500的示意性流程图，该方法500可以用于可穿戴设备。如图7所示，该方法500包括：
S501，可穿戴设备采集用户的运动数据。
S502，可穿戴设备进行参数估计。
S503，可穿戴设备进行用户行为分类。
应理解，S501-S503的过程可以参考上述方法400中S401-S403的过程，为了简洁，在此不再赘述。
S504，可穿戴设备判断用户是否处于运动状态。
一个实施例中，以篮球模式为例，若可穿戴设备确定S503中得到的用户处于篮球运动的概率P 1大于或者等于预设值，那么可穿戴设备可以确定用户处于运动中。
一个实施例中，以篮球模式为例，若可穿戴设备确定S503中得到的用户处于篮球运动的概率为P 1大于非篮球运动的概率P 2，那么可穿戴设备可以确定用户处于运动中。
一个实施例中，若可穿戴设备确定用户不是处于运动中，那么可穿戴设备可以保持当前状态。
S505，若可穿戴设备确定用户处于运动状态，可穿戴设备获取Wi-Fi热点的名称信息和/或位置信息。
一个实施例中，若可穿戴设备没有Wi-Fi功能已经定位功能，那么可穿戴设备可以向移动终端请求Wi-Fi热点的名称信息和/或位置信息。
当可穿戴设备确定用户处于运动中时，可穿戴设备可以向移动终端发送查询请求，该查询请求用于请求Wi-Fi热点的名称信息以及位置信息。示例性的，该查询请求可以携带在蓝牙(Bluetooth low energy，BLE)数据包中。
本申请实施例中，可穿戴设备可以在确定用户处于运动状态后向移动终端请求Wi-Fi热点的名称信息和/或位置信息，这样可以节省可穿戴设备和移动终端之间的信令开销，避免了可穿戴设备和移动终端之间不必要的信令交互。
一个实施例中，若可穿戴设备具有Wi-Fi功能，那么可穿戴设备可以获取周围的Wi-Fi热点的名称信息；或者，若可穿戴设备具有卫星定位系统，那么可穿戴设备可以获取用户当前的地理坐标信息，从而结合地图信息确定用户的地理位置信息；或者，若可穿戴设备具有Wi-Fi功能以及卫星定位系统，那么可穿戴设备可以获取周围的Wi-Fi热点的名称信息以及用户当前的地理坐标信息，并结合地图信息确定用户的地理位置信息。
应理解，可穿戴设备可以具有卫星定位系统但是不包含地图信息，那么可穿戴设备可以向服务器发送对应的地理坐标信息，并从服务器接收用户的地理位置信息。
或者，可穿戴设备可以向移动终端发送对应的地理坐标信息，由移动终端结合地图信息确定用户的地理位置信息。移动终端可以向可穿戴设备发送用户的地理位置信息。
一个实施例中，可穿戴设备具有Wi-Fi功能。可穿戴设备确定用户处于运动状态时，并没有开启Wi-Fi功能。那么可穿戴设备可以在确定用户处于运动状态时，自动开启Wi-Fi功能，从而获取周围的Wi-Fi热点的名称信息。
一个实施例中，可穿戴设备具有卫星定位系统。可穿戴设备确定用户处于运动状态时，并没有开启定位功能。那么可穿戴设备可以在确定用户处于运动状态时，自动开启定位功能，从而获取用户当前的地理坐标信息。
S506，可穿戴设备判断预设时长内是否获取Wi-Fi热点的名称信息和/或位置信息。
一个实施例中，当可穿戴设备在预设时长内未获取到移动终端发送的Wi-Fi热点的名称信息以及位置信息，那么可穿戴设备可以执行S509，提醒用户进入运动模式。
S507，若可穿戴设备在预设时长内获取Wi-Fi热点的名称信息和/或位置信息，那么可穿戴设备对用户位置分类。
应理解，S507可以参考上述S405的过程，为了简洁，在此不再赘述。
S508，可穿戴设备判断用户是否处于运动场地中。
一个实施例中，以篮球模式为例，若可穿戴设备确定S507中得到的用户处于篮球场地中的概率P 3大于或者等于预设值，那么可穿戴设备可以确定用户处于运动场地中。
一个实施例中，以篮球模式为例，若可穿戴设备确定S507中得到的处于篮球场地中的概率P 3大于用户处于篮球场地中的概率P 4，那么可穿戴设备可以确定用户处于运动场地中。
一个实施例中，可穿戴设备可以在获取到Wi-Fi热点的名称信息和位置信息后，先通过获取到的Wi-Fi热点的名称信息判断用户是否处于运动场地中。示例性的，可穿戴设备获取到的Wi-Fi热点的名称信息包括“篮球场”、“运动”等，那么可穿戴设备可以确定用户处于篮球场地中，此时可穿戴设备可以不判断位置信息，直接确定用户处于运动场地中。
一个实施例中，若可穿戴设备根据用户的运动参数确定用户正在进行某一项运动，而可穿戴设备根据获取的Wi-Fi热点的名称信息和/或用户的位置信息确定用户在另一项运 动的场地内，那么可穿戴设备可以提示用户在两项运动模式中选择一项。
图8示出了本申请实施例提供的另一种场景示意图。
如图8中的(a)所示的显示界面，该显示界面上可以显示时间、天气、电量以及未读消息等等信息。当用户在打羽毛球时，可穿戴设备可以通过传感器对用户的运动数据进行采集，并且基于采集到的运动数据确定处于羽毛球状态中。
如图8中的(b)所示的显示界面，相比于图8中的(a)所示的显示界面，该显示界面上显示可穿戴设备已经连接了Wi-Fi热点名称为“篮球馆便利店”的Wi-Fi路由器。此时，可穿戴设备可以依据定位功能确定用户处于篮球场地中。
当可穿戴设备确定用户处于羽毛球状态中且处于篮球场地中时，可以显示如图8中的(c)所示的显示界面。可穿戴设备可以通过文字提醒用户“检测到您正在运动，请选择运动模式”。可穿戴设备可以为用户提供的运动模式包括了篮球运动模式和羽毛球运动模式。用户可以选择进入羽毛球运动模式。
进一步的，可穿戴设备还可以对历史记录进行统计。
例如，可穿戴设备可以统计1个月内可穿戴设备处于“XX中学篮球场”时或者连接了“篮球馆便利店”的Wi-Fi路由器时，开启篮球模式的次数以及羽毛球模式的次数。若用户开启羽毛球模式的次数大于用户开启篮球模式的次数，那么下一次可穿戴设备根据用户的运动参数确定用户正在打羽毛球且可穿戴设备获取的用户的位置信息为“XX中学篮球场”时或者连接了“篮球馆便利店”的Wi-Fi路由器时，可穿戴设备可以直接提示用户是否开启羽毛球模式。
一个实施例中，可穿戴设备可以在获取到Wi-Fi热点的名称信息和位置信息后，先通过获取到的Wi-Fi热点的名称信息判断用户是否处于运动场地中。示例性的，可穿戴设备可以将Wi-Fi热点的名称信息输入保存的Wi-Fi热点的名称信息数据库中，得到用户处于运动场地的概率。如果该概率小于预设值，那么可穿戴设备可以继续通过位置信息判断用户是否处于运动场地中。
示例性的，可穿戴设备可以将位置信息输入保存的位置信息数据库中，得到用户处于运动场地的概率，如果该概率小于预设值，那么可穿戴设备可以确定用户不是处于运动场地中；如果该概率大于或者等于预设值，那么可穿戴设备可以确定用户处于运动场地中。
S509，若可穿戴设备判断用户处于运动场地中，那么可穿戴设备提示用户进入运动模式。
一个实施例中，可穿戴设备可以周期性的重复上述流程，进而可以实现自动进入或者自动退出运动模式。
本申请实施例中，可穿戴设备可以基于用户携带的移动终端附近的Wi-Fi热点信息、用户的位置信息与可穿戴设备采集的用户的运动数据，进行数据融合估计出用户当前的行为特征，从而实现篮球运动模式的自启动/结束检测。
图9是示出了本申请实施例提供的启动运动模式的方法600的另一示意性流程图。该方法可以由电子设备执行，该方法600包括：
S601，该电子设备获取用户的第一运动数据。
应理解，S601可以参考上述S401-S402的描述，为了简洁，在此不再赘述。
S602，该电子设备获取第一信息，该第一信息包括该电子设备周围的Wi-Fi热点的名 称信息和/或该电子设备所处的第一位置信息。
可选地，若该电子设备中包括Wi-Fi功能，那么该电子设备可以通过Wi-Fi功能获取该电子设备周围的Wi-Fi热点的名称信息；若该电子设备包括定位功能，那么该电子设备可以通过定位功能获得该电子设备所处的第一位置信息。
可选地，若该电子设备通过第一运动数据确定用户处于运动状态中时电子设备的Wi-Fi功能处于关闭状态，该方法还包括：该电子设备启动Wi-Fi功能；和/或，若该电子设备通过第一运动数据确定用户处于运动状态中时电子设备的定位功能处于关闭状态，该方法还包括：该电子设备启动定位功能。
本申请实施例中，电子设备可以在通过第一运动数据确定用户处于运动状态后，自动启动Wi-Fi功能和/或定位功能，这样可以节省电子设备的功耗。
可选地，若该电子设备不包括Wi-Fi功能，那么该电子设备可以从另一电子设备处获取该电子设备周围的Wi-Fi热点的名称信息；若该电子设备不包括定位功能，那么该电子设备可以从另一电子设备处获取该电子设备所处的第一位置信息。
可选地，该电子设备通过第一运动数据确定用户处于运动状态中时，该电子设备向另一电子设备请求该电子设备周围的Wi-Fi热点的名称信息；和/或，该电子设备通过第一运动数据确定用户处于运动状态中时，该电子设备向另一电子设备请求该电子设备所处的第一位置信息。
本申请实施例中，电子设备可以在通过第一运动数据确定用户处于运动状态后，向另一电子设备请求Wi-Fi热点的名称信息和/或第一位置信息，这样可以节省电子设备的功耗。
S603，该第一电子设备根据该第一运动数据和该第一信息，提示用户启动运动模式，或者，启动该运动模式。
应理解，S603的过程可以参考上述S403、S405以及S406的过程，为了简洁，在此不再赘述。
本申请实施例中，第一电子设备可以结合用户的运动数据以及用户的位置信息，来确定是否提示用户进入运动模式或者确定是否直接进入运动模式，从而有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，有助于提升用户的体验。
可选地，该第一电子设备根据该第一运动数据和该第一信息，提示用户启动运动模式，或者，启动该运动模式，包括：获取第一概率和第二概率，该第一概率由该第一运动数据输入第一数据库中得到，该第二概率由该第一信息输入第二数据库中得到，该第一数据库通过采集用户处于运动状态中的运动数据获得，该第二数据库通过采集运动场地中的Wi-Fi热点的名称信息和位置信息获得；根据该第一概率和该第二概率，提示用户启动该运动模式，或者，启动该运动模式。
应理解，该第一数据库可以为上述用户行为数据库；该第二数据库可以为Wi-Fi热点的名称信息与位置信息数据库。
还应理解，本申请实施例中，对如何通过第一概率和第二概率来提示用户启动该运动模式或者直接启动该运动模式的过程并不作具体限定。
可选地，该根据该第一概率和该第二概率，提示用户启动该运动模式，或者，启动该 运动模式，包括：
当该第一概率大于或者等于第一预设值且该第二概率大于或者等于第二预设值时，提示用户启动该运动模式，或者，启动该运动模式。
本申请实施例中，当第一电子设备确定用户处于运动状态中且第一电子设备确定用户处于运动场地中时，第一电子设备可以提示用户启动运动模式，或者，直接启动运动模式。有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，有助于提升用户的体验。
应理解，该第一概率大于或者等于第一预设值也可以理解为第一电子设备确定用户处于运动状态中。
还应理解，该第二概率大于或者等于第二预设值也可以理解为第一电子设备确定用户处于运动场地中。
可选地，该根据该第一概率和该第二概率，提示用户启动该运动模式，或者，启动该运动模式，包括：
当该第一概率和该第二概率的平均值大于或者等于预设值时，提示用户启动该运动模式，或者，启动该运动模式。
本申请实施例中，第一电子设备可以在第一概率和第二概率的平均值大于或者等于预设值时，提示用户启动运动模式，或者，直接启动运动模式。有助于实现运动模式的自启动，避免了用户的繁琐操作以及因用户遗忘而造成运动数据缺失，有助于提升用户的体验。
可选地，该方法600还包括：
该第一电子设备获取用户的第二运动数据；
该第一电子设备获取第二信息，该第二信息包括该第一电子设备周围的Wi-Fi热点的名称信息和/或该第一电子设备所处的第二位置信息；
该第一电子设备在根据该第二运动数据确定用户处于非运动状态时，或者，根据该第二信息确定用户处于非运动场地时，提示用户关闭该运动模式或者关闭该运动模式。
本申请实施例中，当第一电子设备确定处于非运动状态或者确定处于非运动场地时，电子设备可以提示用户关闭运动模式或者直接关闭运动模式。有助于实现运动模式的自关闭，避免了用户的繁琐操作以及因用户遗忘关闭而造成运动数据不准确，有助于提升用户的体验。
在一些可能的实现方式中，该第一电子设备根据该第二运动数据确定用户处于非运动状态，包括：
该第一电子设备获取第三概率，该第三概率由第二运动数据输入第一数据库得到；在该第三概率小于所述第一预设值时，该第一电子设备确定用户处于非运动状态。
在一些可能的实现方式中，该第一电子设备根据该第二信息确定用户处于非运动场地，包括：
该第一电子设备获取第四概率，该第四概率由第二信息输入第二数据库得到；在该第四概率小于所述第二预设值时，该第一电子设备确定用户处于非运动场地。
本申请实施例中还提供了一种电子设备，该电子设备可以包括如图1所示的六轴传感器102、处理器104以及RF电路105。其中，六轴传感器102可以用于执行上述S601中的步骤；RF电路105可以用于上述S602中接收另一电子设备接收Wi-Fi热点的名称信息 和/或第一位置信息的步骤；处理器104可以用于执行S603中的步骤。
或者，该RF电路可以用于提供Wi-Fi功能，那么电子设备可以通过RF电路获取电子设备周围的Wi-Fi热点的名称信息。
或者，该RF电路可以用于提供定位功能，那么电子设备可以通过RF电路获取电子设备的位置信息。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以所述权利要求的保护范围为准。

Claims (25)

  1. 一种启动运动模式的方法，所述方法应用于包括第一电子设备和第二电子设备的系统中，所述第一电子设备和所述第二电子设备通过短距无线通信技术连接，其特征在于，所述方法包括：
    所述第一电子设备获取用户的第一运动数据；
    所述第二电子设备向所述第一电子设备发送第一信息，所述第一信息包括所述第二电子设备检测到的Wi-Fi热点的名称信息和/或所述第二电子设备所处的第一位置信息；
    所述第一电子设备根据所述第一运动数据和所述第一信息，提示用户启动运动模式，或者，启动所述运动模式。
  2. 根据权利要求1所述的方法，其特征在于，所述第一电子设备根据所述第一运动数据和所述第一信息，提示用户启动运动模式，或者，启动所述运动模式，包括：
    获取第一概率和第二概率，所述第一概率由所述第一运动数据输入第一数据库中得到，所述第二概率由所述第一信息输入第二数据库中得到，所述第一数据库通过采集用户处于运动状态中的运动数据获得，所述第二数据库通过采集运动场地中的Wi-Fi热点的名称信息和位置信息获得；
    根据所述第一概率和所述第二概率，提示用户启动所述运动模式，或者，启动所述运动模式。
  3. 根据权利要求2所述的方法，其特征在于，所述根据所述第一概率和所述第二概率，提示用户启动所述运动模式，或者，启动所述运动模式，包括：
    当所述第一概率大于或者等于第一预设值且所述第二概率大于或者等于第二预设值时，提示用户启动所述运动模式，或者，启动所述运动模式。
  4. 根据权利要求2所述的方法，其特征在于，所述根据所述第一概率和所述第二概率，提示用户启动所述运动模式，或者，启动所述运动模式，包括：
    当所述第一概率和所述第二概率的平均值大于或者等于预设值时，提示用户启动所述运动模式，或者，启动所述运动模式。
  5. 根据权利要求1至4中任一项所述的方法，其特征在于，所述方法还包括：
    所述第一电子设备获取用户的第二运动数据；
    所述第二电子设备向所述第一电子设备发送第二信息，所述第二信息包括所述第二电子设备检测到的Wi-Fi热点的名称信息和/或所述第二电子设备所处的第二位置信息；
    所述第一电子设备根据所述第二运动数据确定用户处于非运动状态，或者，根据所述第二信息确定用户处于非运动场地时，提示用户关闭所述运动模式或者关闭所述运动模式。
  6. 根据权利要求1至5中任一项所述的方法，其特征在于，所述提示用户启动运动模式，包括：通过语音或者震动提示用户启动所述运动模式。
  7. 根据权利要求1至6中任一项所述的方法，其特征在于，所述第一电子设备上登录的账号和所述第二电子设备上登录的账号相关联。
  8. 根据权利要求1至7中任一项所述的方法，其特征在于，所述第一电子设备为可 穿戴设备。
  9. 一种启动运动模式的方法，所述方法应用于第一电子设备中，其特征在于，包括：
    所述第一电子设备获取用户的第一运动数据；
    所述第一电子设备获取第一信息，所述第一信息包括所述第一电子设备周围的Wi-Fi热点的名称信息和/或所述第一电子设备所处的第一位置信息；
    所述第一电子设备根据所述第一运动数据和所述第一信息，提示用户启动运动模式，或者，启动所述运动模式。
  10. 根据权利要求9所述的方法，其特征在于，所述第一电子设备根据所述第一运动数据和所述第一信息，提示用户启动运动模式，或者，启动所述运动模式，包括：
    获取第一概率和第二概率，所述第一概率由所述第一运动数据输入第一数据库中得到，所述第二概率由所述第一信息输入第二数据库中得到，所述第一数据库通过采集用户处于运动状态中的运动数据获得，所述第二数据库通过采集运动场地中的Wi-Fi热点的名称信息和位置信息获得；
    根据所述第一概率和所述第二概率，提示用户启动所述运动模式，或者，启动所述运动模式。
  11. 根据权利要求10所述的方法，其特征在于，所述根据所述第一概率和所述第二概率，提示用户启动所述运动模式，或者，启动所述运动模式，包括：
    当所述第一概率大于或者等于第一预设值且所述第二概率大于或者等于第二预设值时，提示用户启动所述运动模式，或者，启动所述运动模式。
  12. 根据权利要求10所述的方法，其特征在于，所述根据所述第一概率和所述第二概率，提示用户启动所述运动模式，或者，启动所述运动模式，包括：
    当所述第一概率和所述第二概率的平均值大于或者等于预设值时，提示用户启动所述运动模式，或者，启动所述运动模式。
  13. 根据权利要求9至12中任一项所述的方法，其特征在于，所述方法还包括：
    所述第一电子设备获取用户的第二运动数据；
    所述第一电子设备获取第二信息，所述第二信息包括所述第一电子设备周围的Wi-Fi热点的名称信息和/或所述第一电子设备所处的第二位置信息；
    所述第一电子设备在根据所述第二运动数据确定用户处于非运动状态时，或者，根据所述第二信息确定用户处于非运动场地时，提示用户关闭所述运动模式或者关闭所述运动模式。
  14. 根据权利要求9至13中任一项所述的方法，其特征在于，所述提示用户启动所述运动模式，包括：
    所述第一电子设备通过语音或者震动提示用户启动所述运动模式。
  15. 根据权利要求9至14中任一项所述的方法，其特征在于，所述第一电子设备和第二电子设备通过短距无线通信技术连接，所述第一电子设备获取第一信息，包括:
    所述第一电子设备接收所述第二电子设备发送的所述第一信息。
  16. 根据权利要求15所述的方法，其特征在于，所述第一电子设备上登录的账号和所述第二电子设备上登录的账号相关联。
  17. 一种电子设备，其特征在于，包括：
    一个或多个处理器；
    一个或多个存储器；
    所述一个或多个存储器存储有一个或多个计算机程序，所述一个或多个计算机程序包括指令，当所述指令被所述一个或多个处理器执行时，使得所述电子设备执行以下步骤：
    获取用户的第一运动数据；
    获取第一信息，所述第一信息包括所述第一电子设备周围的Wi-Fi热点的名称信息和/或所述第一电子设备所处的第一位置信息；
    根据所述第一运动数据和所述第一信息，提示用户启动运动模式，或者，启动所述运动模式。
  18. 根据权利要求17所述的电子设备，其特征在于，当所述指令被所述一个或多个处理器执行时，使得所述电子设备执行以下步骤：
    获取第一概率和第二概率，所述第一概率由所述第一运动数据输入第一数据库中得到，所述第二概率由所述第一信息输入第二数据库中得到，所述第一数据库通过采集用户处于运动状态中的运动数据获得，所述第二数据库通过采集运动场地中的Wi-Fi热点的名称信息和位置信息获得；
    根据所述第一概率和所述第二概率，提示用户启动所述运动模式，或者，启动所述运动模式。
  19. 根据权利要求18所述的电子设备，其特征在于，当所述指令被所述一个或多个处理器执行时，使得所述电子设备执行以下步骤：
    当所述第一概率大于或者等于第一预设值且所述第二概率大于或者等于第二预设值时，提示用户启动所述运动模式，或者，启动所述运动模式。
  20. 根据权利要求18所述的电子设备，其特征在于，当所述指令被所述一个或多个处理器执行时，使得所述电子设备执行以下步骤：
    当所述第一概率和所述第二概率的平均值大于或者等于预设值时，提示用户启动所述运动模式，或者，启动所述运动模式。
  21. 根据权利要求17至20中任一项所述的电子设备，其特征在于，当所述指令被所述一个或多个处理器执行时，使得所述电子设备执行以下步骤：
    获取用户的第二运动数据；
    获取第二信息，所述第二信息包括所述第一电子设备周围的Wi-Fi热点的名称信息和/或所述第一电子设备所处的第二位置信息；
    在根据所述第二运动数据确定用户处于非运动状态时，或者，根据所述第二信息确定用户处于非运动场地时，提示用户关闭所述运动模式或者关闭所述运动模式。
  22. 根据权利要求17至21中任一项所述的电子设备，其特征在于，当所述指令被所述一个或多个处理器执行时，使得所述电子设备执行以下步骤：
    通过语音或者震动提示用户启动所述运动模式。
  23. 根据权利要求17至22中任一项所述的电子设备，其特征在于，所述第一电子设备和第二电子设备通过短距无线通信技术连接，当所述指令被所述一个或多个处理器执行时，使得所述电子设备执行以下步骤：
    接收所述第二电子设备发送的所述第一信息。
  24. 根据权利要求23所述的电子设备，其特征在于，述第一电子设备上登录的账号和所述第二电子设备上登录的账号相关联。
  25. 一种计算机可读存储介质，其特征在于，包括计算机指令，当所述计算机指令在电子设备上运行时，使得所述电子设备执行如权利要求9至16中任一项所述的启动运动模式的方法。
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