CN113949993A

CN113949993A - Method for starting motion mode and electronic equipment

Info

Publication number: CN113949993A
Application number: CN202010612362.1A
Authority: CN
Inventors: 徐腾; 陈霄汉; 严家兵; 吴黄伟
Original assignee: Honor Device Co Ltd
Current assignee: Honor Device Co Ltd
Priority date: 2020-06-30
Filing date: 2020-06-30
Publication date: 2022-01-18
Also published as: WO2022001749A1

Abstract

The application provides a method for starting a sport mode and an electronic device, wherein the method can be used for an Artificial Intelligence (AI) terminal. The method comprises the following steps: the first electronic equipment acquires first motion data of a user; the second electronic equipment sends first information to the first electronic equipment, wherein the first information comprises name information of a Wi-Fi hotspot detected by the second electronic equipment and/or first position information of the second electronic equipment; and the first electronic equipment prompts a user to start a motion mode or starts the motion mode according to the first motion data and the first information. According to the embodiment of the application, the self-starting of the motion mode is facilitated, so that the intelligent degree of the electronic equipment is improved, and the user experience is improved.

Description

Method for starting motion mode and electronic equipment

Technical Field

The present application relates to the field of terminals, and more particularly, to a method and an electronic device for initiating a motion mode.

Background

Basketball is a sport item popular to the public, is an interesting entertainment item, has good body building and exercising functions, improves the physiological function of human body and enables the body to develop in a balanced way. In the basketball sport, the wearable sports equipment has huge market prospect.

At present, multiple intelligent wearing equipment has appeared in the market, like energy bracelet, foot ring, meter step shoes etc. for the removal step number, the distance of record motion in-process, calorie isoparametric that consume, these equipment majority are mostly running motion and design. Basketball is a competitive sport, has diversified actions and is mainly completed by walking, running and jumping, longitudinal jumping, lateral moving and the like. Parameters such as jumping height, jumping times, flight time and the like are used as important parameters of basketball technical statistical indexes, the comprehensive physique of athletes is reflected, and comprehensive assessment on the comprehensive ability of the athletes and personalized training plans can be assisted in the later period.

At present, the commonly used motion starting and ending detection mode of the bracelet (or the foot ring) is started manually or controlled according to voice, but the bracelet basketball motion mode is started by mistake or missed because of other reasons (such as user misoperation, missed starting and the like), so that the whole basketball scene data can be recorded or recorded without data.

Disclosure of Invention

The application provides a method for starting a motion mode and electronic equipment, and the method can be used for an Artificial Intelligence (AI) terminal and is beneficial to realizing self-starting of the motion mode, so that the intelligent degree of the electronic equipment is improved, and the user experience is improved.

In a first aspect, a method for initiating a motion mode is provided, where the method is applied to a system including a first electronic device and a second electronic device, and the first electronic device and the second electronic device are connected by a short-range wireless communication technology, and the method includes: the first electronic equipment acquires first motion data of a user; the second electronic equipment sends first information to the first electronic equipment, wherein the first information comprises name information of a Wi-Fi hotspot detected by the second electronic equipment and/or first position information of the second electronic equipment; and the first electronic equipment prompts a user to start a motion mode or starts the motion mode according to the first motion data and the first information.

In the embodiment of the application, the first electronic device can determine whether to prompt the user to enter the motion mode or determine whether to directly enter the motion mode by combining the motion data of the user and the position information of the user, so that the self-starting of the motion mode is facilitated, the tedious operation of the user and the motion data loss caused by the forgetting of the user are avoided, and the user experience is facilitated to be improved.

In some possible implementations, the first electronic device may be a wearable device (e.g., a smart foot ring) and the second electronic device may be a cell phone.

With reference to the first aspect, in some implementations of the first aspect, the prompting, by the first electronic device, a user to start a motion mode or starting the motion mode according to the first motion data and the first information includes: acquiring a first probability and a second probability, wherein the first probability is obtained by inputting the first motion data into a first database, the second probability is obtained by inputting the first information into a second database, the first database is obtained by acquiring the motion data of a user in a motion state, and the second database is obtained by acquiring the name information and the position information of a Wi-Fi hotspot in a motion field; and prompting the user to start the motion mode or starting the motion mode according to the first probability and the second probability.

In the embodiment of the application, the first electronic device can acquire the first probability and the second probability in a machine learning manner, and the first electronic device can determine whether to prompt a user to start a motion mode or determine whether to directly enter the motion mode according to the first probability and the second probability, so that the accuracy of judgment of the first electronic device is improved.

In some possible implementations, the first database and the second database are stored in a first electronic device, and the first electronic device may input the first motion data into the first database to obtain a first probability; the first electronic device may enter the first information into a second database to obtain the second probability.

In some possible implementation manners, 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 the cloud server determines the first probability and the second probability and then sends the first probability and the second probability to the first electronic device.

The first probability and the second probability may also be determined by a second electronic device (e.g., a cell phone) in some possible implementations. And the second electronic equipment determines the first probability and the second probability and then sends the first probability and the second probability to the first electronic equipment.

With reference to the first aspect, in some implementations of the first aspect, prompting a user to initiate the movement pattern or initiating the movement pattern according to the first probability and the second probability includes: and when the first probability is larger than or equal to a first preset value and the second probability is larger than or equal to a second preset value, prompting a user to start the motion mode or starting the motion mode.

In this embodiment of the application, when the first electronic device determines that the user is in the motion state and the first electronic device determines that the user is in the motion field, the first electronic device may prompt the user to start the motion mode, or directly start the motion mode. The method and the device are beneficial to realizing the self-starting of the motion mode, avoid the complex operation of the user and the motion data loss caused by the forgetting of the user, and are beneficial to improving the experience of the user.

In some possible implementations, the first probability being greater than or equal to the first preset value may also be understood as the first electronic device determining that the user is in a motion state.

In some possible implementations, that the second probability is greater than or equal to the second preset value may also be understood as the first electronic device determining that the user is in the athletic field.

With reference to the first aspect, in some implementations of the first aspect, prompting a user to initiate the movement pattern or initiating the movement pattern according to the first probability and the second probability includes: and prompting the user to start the motion mode or starting the motion mode when the average value of the first probability and the second probability is larger than or equal to a preset value.

In this embodiment of the application, the first electronic device may prompt the user to start the motion mode or directly start the motion mode when an average value of the first probability and the second probability is greater than or equal to a preset value. Thus, the self-starting of the motion mode is facilitated, the complex operation of the user and the motion data loss caused by the forgetting of the user are avoided, and the user experience is facilitated to be improved.

With reference to the first aspect, in certain implementations of the first aspect, the method further includes: the first electronic equipment acquires second motion data of a user; the second electronic equipment sends second information to the first electronic equipment, wherein the second information comprises name information of a Wi-Fi hotspot detected by the second electronic equipment and/or second position information of the second electronic equipment; and the first electronic equipment determines that the user is in a non-sport state according to the second sport data, or prompts the user to close the sport mode or close the sport mode when determining that the user is in a non-sport field according to the second information.

In this embodiment of the application, when the first electronic device determines that the first electronic device is in a non-sport state or determines that the first electronic device is in a non-sport area, the electronic device may prompt the user to turn off the sport mode or directly turn off the sport mode. Therefore, the self-closing of the motion mode is facilitated, the complex operation of a user is avoided, and the inaccurate motion data caused by the fact that the user forgets to close the motion mode is avoided, so that the experience of the user is facilitated to be improved.

In some possible implementations, the determining, by the first electronic device and according to the second motion data, that the user is in a non-motion state includes: the first electronic equipment acquires a third probability, and the third probability is obtained by inputting second motion data into the first database; and when the third probability is smaller than the first preset value, the first electronic equipment determines that the user is in a non-motion state.

In some possible implementations, the determining, by the first electronic device and according to the second information, that the user is at a non-athletic field includes: the first electronic equipment acquires a fourth probability, and the fourth probability is obtained by inputting second information into a second database; when the fourth probability is smaller than the second preset value, the first electronic equipment determines that the user is in a non-sport field.

With reference to the first aspect, in certain implementations of the first aspect, the prompting the user to initiate the movement mode includes: the user is prompted by voice or vibration to initiate the movement pattern.

With reference to the first aspect, in some implementations of the first aspect, the account number logged in on the first electronic device is associated with the account number logged in on the second electronic device.

In some possible implementations, 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 account logged in on the second electronic device are accounts in the same family group; alternatively, the account registered on the second electronic device may be an account authorized by the account registered on the first electronic device.

In a second aspect, a method for initiating a motion mode is provided, where the method is applied to a first electronic device, and the method includes: the first electronic equipment acquires first motion data of a user; the first electronic equipment acquires first information, wherein the first information comprises name information of Wi-Fi hotspots around the first electronic equipment and/or first position information of the first electronic equipment; and the first electronic equipment prompts a user to start a motion mode or starts the motion mode according to the first motion data and the first information.

In some possible implementations, the first electronic device may be a wearable device (e.g., a smart foot ring).

In some possible implementations, the first information acquired by the first electronic device may be sent to the first electronic device by the second electronic device. Since the first electronic device and the second electronic device are connected through the 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 hotspot around the first electronic device.

It can also be understood that the first location information acquired by the second electronic device through its positioning function is the location information of the first electronic device.

With reference to the second aspect, in some implementations of the second aspect, the prompting, by the first electronic device, a user to start a motion mode or starting the motion mode according to the first motion data and the first information includes: acquiring a first probability and a second probability, wherein the first probability is obtained by inputting the first motion data into a first database, the second probability is obtained by inputting the first information into a second database, the first database is obtained by acquiring the motion data of a user in a motion state, and the second database is obtained by acquiring the name information and the position information of a Wi-Fi hotspot in a motion field; and prompting the user to start the motion mode or starting the motion mode according to the first probability and the second probability.

With reference to the second aspect, in some implementations of the second aspect, prompting a user to initiate the movement pattern or initiating the movement pattern according to the first probability and the second probability includes: and when the first probability is larger than or equal to a first preset value and the second probability is larger than or equal to a second preset value, prompting a user to start the motion mode or starting the motion mode.

With reference to the second aspect, in some implementations of the second aspect, prompting a user to initiate the movement pattern or initiating the movement pattern according to the first probability and the second probability includes: and prompting the user to start the motion mode or starting the motion mode when the average value of the first probability and the second probability is larger than or equal to a preset value.

In this embodiment of the application, the first electronic device may prompt the user to start the motion mode or directly start the motion mode when an average value of the first probability and the second probability is greater than or equal to a preset value. The method and the device are beneficial to realizing the self-starting of the motion mode, avoid the complex operation of the user and the motion data loss caused by the forgetting of the user, and are beneficial to improving the experience of the user.

With reference to the second aspect, in certain implementations of the second aspect, the method further includes: the first electronic equipment acquires second motion data of a user; the first electronic equipment acquires second information, wherein the second information comprises name information of Wi-Fi hotspots around the first electronic equipment and/or second position information of the first electronic equipment; and when the first electronic equipment determines that the user is in a non-sport state according to the second sport data or determines that the user is in a non-sport field according to the second information, prompting the user to close the sport mode or close the sport mode.

In some possible implementations, the determining, by the first electronic device and according to the second information, that the user is at a non-athletic field includes: the first electronic equipment acquires a fourth probability, and the fourth probability is obtained by inputting second information into a second database; and when the fourth probability is smaller than the second preset value, the first electronic equipment determines that the user is in a non-sports field.

With reference to the second aspect, in some implementations of the second aspect, the prompting the user to initiate the movement mode includes: the first electronic device prompts the user to initiate the movement mode by voice or vibration.

With reference to the second aspect, in some implementations of the second aspect, the first electronic device and the second electronic device are connected by a short-range wireless communication technology, and the acquiring, by the first electronic device, the first information includes receiving, by the first electronic device, the first information sent by the second electronic device.

In the embodiment of the application, for a first electronic device without Wi-Fi function or positioning function, the first information can be acquired from a second electronic device. The second electronic equipment is used for assisting the first electronic equipment in judging, the self-starting of the motion mode is facilitated, the complex operation of a user is avoided, the motion data loss caused by the fact that the user forgets is avoided, and the user experience is facilitated to be improved.

With reference to the second aspect, in some implementations of the second aspect, the account number logged in on the first electronic device is associated with the account number logged in on the second electronic device.

In a third aspect, an apparatus is provided, where 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 implementation manner of the second aspect. The functions may be implemented by hardware, or by hardware executing corresponding software. The hardware or software includes one or more modules or units corresponding to the above-described functions.

In a fourth aspect, an electronic device is provided, comprising: one or more processors; a memory; and one or more computer programs. Wherein the one or more computer programs are stored in the memory, the one or more computer programs comprising instructions. The instructions, when executed by the electronic device, cause the electronic device to perform a method of initiating a motion pattern in any one of the possible implementations of the second aspect described above.

In a fifth aspect, the present disclosure provides a computer storage medium including computer instructions, which, when executed on an electronic device, cause the electronic device to perform a method for initiating a motion mode in any one of the possible implementations of the second aspect.

In a sixth aspect, the present disclosure provides a computer program product, which when run on an electronic device, causes the electronic device to perform the method for initiating a motion pattern of any one of the possible designs of the second aspect.

In a seventh aspect, the present disclosure provides a chip system, where the chip system includes at least one processor, and when a program instruction is executed in the at least one processor, the function of any one of the possible methods in the second aspect on an electronic device is implemented.

In an eighth aspect, the present disclosure provides a system including the first electronic device and the second electronic device in any possible method of the first aspect.

Drawings

Fig. 1 is a schematic structural diagram of an intelligent foot ring provided in an embodiment of the present application.

Fig. 2 is a scene schematic diagram provided in an embodiment of the present application.

Fig. 3 is a schematic view of another scenario provided in the embodiment of the present application.

Fig. 4 is a schematic view of another scenario provided in the embodiment of the present application.

Fig. 5 is a schematic flow chart of a method for initiating a motion mode provided by an embodiment of the present application.

Fig. 6 is another schematic flow chart of a method for initiating a motion pattern provided by an embodiment of the present application.

Fig. 7 is another schematic flow chart of a method for initiating a motion pattern provided by an embodiment of the present application.

Fig. 8 is a schematic view of another scenario provided in the embodiment of the present application.

Fig. 9 is another schematic flow chart of a method for initiating a motion pattern provided by an embodiment of the present application.

Detailed Description

The technical solution in the present application will be described below with reference to the accompanying drawings.

In the description of the embodiments herein, "/" means "or" unless otherwise specified, for example, a/B may mean a or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "a plurality" or "a plurality" means two or more.

In the following, the terms "first", "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present embodiment, "a plurality" means two or more unless otherwise specified.

The technical scheme of the embodiment of the application is suitable for any electronic equipment with motion parameter detection capability, and the electronic equipment can be portable electronic equipment such as a mobile phone; or the electronic device may also be a wearable device, for example, the wearable device is a smart watch, a smart foot ring, a smart bracelet, smart glasses, or the like.

First, an electronic device to which the embodiment of the present application is applied will be described by taking the intelligent foot ring 100 shown in fig. 1 as an example. In this embodiment, the intelligent foot ring 100 may include: the pressure sensor 101, the six-axis sensor 102, the processor 104, a Radio Frequency (RF) circuit 105, a battery 106, a memory 107, an input unit 108, a display unit 109, another sensor 110, an audio circuit 111, a speaker 112, a vibration device 113, a charging management module, and a power management module. Those skilled in the art will appreciate that the configuration of the smart foot ring 100 shown in fig. 1 is not intended to be limiting and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.

The following describes the components of the intelligent foot ring 100 in detail with reference to fig. 1:

a pressure sensor 101, the pressure sensor 101 being capable of detecting shell deformation on a nanometer scale. Illustratively, the fit tightness of the intelligent foot ring 100 and the wearing part of the user is reflected by detecting the pressure value of the rear shell of the intelligent foot ring 100 and the wearing part of the user.

In addition, the intelligent foot ring 100 may further include other sensors 110, and the other sensors 110 may be a temperature sensor, an air pressure sensor, or the like. In particular, the temperature sensor may be used to detect skin temperature; the altitude can be calculated by the barometric pressure of the position of the user through the barometric pressure sensor.

The six-axis sensor 102 is configured to acquire motion data acquired by the acceleration sensor and the gyroscope sensor in the intelligent foot ring 100, and estimate user parameter values including a moving distance, a step number, a vertical jump height, a moving speed, and the like in real time through a data fusion method.

It should be understood that in the embodiment of the present application, the six-axis sensor 102 may include an acceleration sensor and a gyro sensor.

The gyroscope sensors may be used to determine the intelligent foot ring motion gestures. In some embodiments, the angular velocity of the smart foot ring about three axes (i.e., X, Y and the Z axis) may be determined by a gyroscope sensor.

The acceleration sensor can detect the magnitude of the acceleration of the intelligent foot ring in all directions (generally three axes). When the intelligent foot ring is static, the size and the direction of gravity can be detected. The method can also be used for recognizing the posture of the intelligent foot ring and applied to applications such as a pedometer and the like.

The processor 104 is a control center of the intelligent pin ring 100, connects various parts of the whole intelligent pin ring by using various interfaces and lines, and executes various functions and processes data of the intelligent pin ring 100 by running or executing software programs and/or modules stored in the memory 107 and calling data stored in the memory 107, thereby implementing various services based on the intelligent pin ring 100. Alternatively, processor 104 may include one or more processing units; preferably, the processor 104 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 104.

Processor 104 may include one or more processing units, such as: the processor 104 may include an Application Processor (AP), a modem processor, a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a video codec, a Digital Signal Processor (DSP), a baseband processor, and/or a neural-Network Processing Unit (NPU), among others.

Wherein the different processing units may be separate components or may be integrated in one or more processors. In some embodiments, 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 time sequence signal to complete the control of instruction fetching and instruction execution. In other embodiments, a memory may also be provided in the processor 104 for storing instructions and data. Illustratively, the memory in the processor 104 may be a cache memory. The memory may hold instructions or data that have just been used or recycled by the processor 104. If the processor 104 needs to reuse the instruction or data, it can be called directly from the memory. This avoids repeated accesses, reduces the latency of the processor 104, and thus increases the efficiency of the intelligent foot ring 100 in processing data or executing instructions.

The processor 104 may classify the current athletic performance of the user based on the data from the six-axis sensor 102, with the classification including athletic patterns such as basketball, soccer, volleyball, etc., as well as non-athletic patterns.

The processor 104 may also classify the obtained 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 (e.g., a basketball field, a football field, a volleyball court, etc.) and that the user is in a non-sports field.

The RF circuit 105 may be used for reception and transmission of signals, and in general, 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. In addition, the RF circuitry 105 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to global system for mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Message Service (SMS), etc.

The RF circuit 105 may also provide a solution for wireless communication including Wireless Local Area Network (WLAN) (e.g., Wi-Fi network), bluetooth (bluetooth, BT), Global Navigation Satellite System (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), Infrared (IR), and the like, which is applied to the smart foot ring 100.

Illustratively, a GNSS may include a Global Positioning System (GPS), a GLONASS satellite navigation system (GLONASS), a GALILEO satellite navigation system (GALILEO), or a Bei Dou satellite navigation system (BDS).

In this embodiment, the smart foot ring 100 may receive, through the RF circuit 105, name information of a Wi-Fi hotspot near the mobile terminal and/or location information of the mobile terminal (e.g., Global Positioning System (GPS) information of the mobile terminal) transmitted by the mobile terminal (e.g., a mobile phone), and the processor 104 may determine whether the user is in a sports field or whether the processor 104 may determine a probability that the user is in the sports field based on the above information.

The memory 107 may be used for storing software programs and modules, and the processor 104 executes various functional applications and data processing of the smart foot ring 100 by executing the software programs and modules stored in the memory 107. The memory 107 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data) created according to the use of the smart foot ring 100, and the like. Further, the 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 input numeric or character information and generate key signal inputs related to user settings and function control of the intelligent foot ring 100. Specifically, 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, may collect touch operations of a user (e.g., operations of the user on the touch panel 181 or near the touch panel 181 using any suitable object or accessory such as a finger or a stylus), and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 181 may include two parts, i.e., a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 104, and can receive and execute commands sent by the processor 104. In addition, the touch panel may be implemented in various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The input unit 108 may include other input devices 182 in addition to the touch panel 181. In particular, other input devices 182 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The display unit 109 may be used to display information input by or provided to the user as well as various menus of the intelligent foot ring 100. When the processor 104 determines that the user is in the basketball game, the user may be prompted through the display unit 109 that the user is currently in the sports mode, or the user may be prompted through the display unit 109 to confirm whether to enter the sports mode. The display unit 109 may include a display panel 191, and optionally, the display panel 191 may be configured in the form of a Liquid Crystal Display (LCD), an organic light-emitting display (OLED), or the like. Further, the touch panel 181 may cover the display panel 191, and when the touch panel 181 detects a touch operation on or near the touch panel, the touch panel is transmitted to the processor 104 to determine the type of the touch event, and then the processor 104 provides a corresponding visual output on the display panel 191 according to the type of the touch event. Although in fig. 1, the touch panel 181 and the display panel 191 are two separate components to implement the input and output functions of the smart foot ring 100, in some embodiments, the touch panel 181 and the display panel 191 may be integrated to implement the input and output functions of the smart foot ring 100.

The audio circuit 111, speaker 112 may provide an audio interface between the user and the smart foot ring 100. When the processor 104 determines to enter the exercise mode, it may output through the audio circuit 111, speaker 112 to prompt 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 may transmit the electrical signal converted from the received audio data to the speaker 112, and convert the electrical signal into a sound signal for output by the speaker 112.

The vibration device 113 can alert the user by vibration. When the processor 104 determines to enter the sport mode, the vibration device 113 may remind the user through the vibration device 113, so that the user can confirm whether to enter the sport mode through the display unit 109 after receiving the vibration reminder; alternatively, the vibration device 113 may also prompt the user that the smart foot ring 100 has entered the athletic mode.

The charging management module is configured to receive a charging input from a charger. The charger may be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module may receive charging input from a wired charger via a USB interface. In some wireless charging embodiments, the charging management module may receive a wireless charging input through a wireless charging coil of the smart foot ring 100. The charging management module may also provide power to the electronic device via the power management module while charging the battery 106.

The power management module is used to connect the battery 106, the charging management module and the processor 104. The power management module receives input from the battery 106 and/or the charge management module to power the processor 104, the memory 107, the display unit 109, and the like. The power management module may also be used to monitor parameters such as battery capacity, battery cycle number, battery state of health (leakage, impedance), etc. In other embodiments, the power management module may also be disposed in the processor 104. In other embodiments, the power management module and the charging management module may be disposed in the same device.

It is to be understood that the illustrated structure of the embodiment of the present application does not constitute a specific limitation to the intelligent foot ring 100. In other embodiments of the present application, the smart foot ring 100 may include more or fewer components than shown, or some components may be combined, some components may be split, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware. The embodiment of the application can be applied to terminal equipment such as intelligent bracelets, intelligent bracelets and intelligent glasses, and the embodiment of the application does not limit the terminal equipment.

Fig. 2 is a scene schematic diagram provided in an embodiment of the present application. As shown in fig. 2, when the user is playing basketball, the six-axis sensor in the user's smart hoop may collect the user's movement data, so that the user is judged to be playing basketball by analyzing the user's movement data; in addition, the smart foot ring may also receive name information of a Wi-Fi hotspot near the mobile terminal (for example, the name of the Wi-Fi hotspot connected to the mobile phone is "basketball court") and GPS information of the mobile phone (for example, the GPS of the mobile phone is located at "first school basketball court") sent by the mobile terminal (for example, the mobile phone), so as to determine that the user is already in basketball sports through analysis of the user location information.

In the embodiment of the application, the name information of the Wi-Fi hotspot near the mobile terminal may include name information of a Wi-Fi hotspot to which the mobile terminal has connected and name information of a peripheral Wi-Fi hotspot which is not connected but has been detected by the mobile terminal.

After the intelligent foot ring determines that the user is playing basketball and is in the basketball court, the intelligent foot ring can remind the user in different modes.

Illustratively, as shown in fig. 2, the smart foot ring may prompt the user via the display screen to "detect that you are playing basketball, ask you to determine whether to enter a basketball sport mode? When the intelligent foot ring detects that the user clicks, the intelligent foot ring enters a basketball movement mode.

After the basketball mode is entered, the intelligent foot ring can detect the actions of running, jumping, turning and the like when the user plays the basketball; the data that intelligent foot ring can show include moving distance, number of steps moved, moving speed, number of times of turning around and turning direction, number of times of jumping, jumping height, flight time and the like.

It should be understood that when the intelligent foot ring detects that the user is playing basketball and the user is located the basketball court, the intelligent foot ring can prompt the user that information needs the user to confirm on the display screen in a vibration mode, and the user can operate after seeing the information on the intelligent foot ring, so that the intelligent foot ring enters the basketball sport mode.

In one embodiment, after the intelligent foot ring determines that the user is playing basketball and is in the basketball court, the intelligent foot ring can automatically enter the basketball sport mode, and meanwhile, the user is reminded that the intelligent foot ring has entered the basketball sport mode through a voice prompt or a vibration prompt.

For example, the smart foot ring may remind the user of "detect that you are playing basketball and turn on basketball movement mode for you" by way of voice prompt.

For example, the intelligent foot ring may also remind the user that the intelligent foot ring has entered the basketball game mode by way of a vibration prompt.

For example, the intelligent foot ring may further remind the user whether to enter the basketball mode through a voice prompt or a vibration prompt, and enter the basketball mode when the intelligent foot ring detects an instruction that the user determines to enter the basketball mode (for example, the intelligent foot ring enters the basketball mode after detecting a voice instruction of the user, or the intelligent foot ring detects that the user clicks a control that determines to enter the basketball mode on the display screen).

It should also be understood that the above prompting manners are merely illustrative, and the intelligent foot ring may remind the user through other manners. For example, the user can be prompted by voice to "detect that you are playing basketball, ask you to determine whether to enter basketball sport mode? ".

Fig. 3 shows another schematic view of a scenario provided in an embodiment of the present application.

As shown in (a) of fig. 3, information such as time, weather, power, and unread message may be displayed on the display interface. When the user is playing basketball, the wearable device may collect motion data of the user through the sensors and determine to be in a basketball state based on the collected motion data.

As shown in (b) of fig. 3, compared to the display interface shown in (a) of fig. 3, the display interface displays that the wearable device has connected to the surrounding Wi-Fi router and the Wi-Fi hotspot of the Wi-Fi router is named as "basketball store convenience store". At this point, the wearable device may determine that the user is in a basketball court from the Wi-Fi hotspot name.

When the wearable device determines that the user is in a basketball state and in a basketball court, a display interface may be displayed as shown in (c) of fig. 3. The wearable device may remind the user through text "detect you are playing basketball, enter basketball sports mode". When the wearable device detects that the user clicks "yes," the wearable device enters a basketball sport mode.

In one embodiment, the wearable device may not collect the user's motion data. When the wearable device determines that a surrounding Wi-Fi router has been connected and the Wi-Fi hotspot name of the Wi-Fi router is "basketball hall convenience store," the wearable device may determine from the history whether to prompt the user to enter a basketball sports mode.

For example, the wearable device history records that the wearable device enters the basketball sports mode 8 times after connecting to a Wi-Fi router with a Wi-Fi hotspot name of "basketball house convenience store" 10 times. The wearable device may determine that the user desires the wearable device to enter a basketball sport mode after connecting the Wi-Fi router. So that the wearable can prompt the user whether to enter a basketball sport mode.

Fig. 4 shows another schematic view of a scenario provided in an embodiment of the present application.

As shown in (a) of fig. 4, information such as time, weather, power, and unread message may be displayed on the display interface. When the user is playing basketball, the wearable device may collect motion data of the user through the sensors and determine to be in a basketball state based on the collected motion data.

As shown in fig. 4 (b), compared to the display interface shown in fig. 4 (a), the display interface displays that the wearable device has turned on the positioning function. At this time, the wearable device may determine that the user is in a basketball court according to the positioning function.

When the wearable device determines that the user is in a basketball state and in a basketball court, a display interface may be displayed as shown in (c) of fig. 4. The wearable device may remind the user through text "detect you are playing basketball, enter basketball sports mode". When the wearable device detects that the user clicks "yes," the wearable device enters a basketball sport mode.

In one embodiment, the wearable device may not collect the user's motion data. When the wearable device is in a position determined by the positioning function, the wearable device may determine whether to prompt the user to enter a corresponding motion mode according to the history.

For example, the wearable device history records that the wearable device has entered the basketball game mode 8 times when it was in the basketball court 10 times. The wearable device may determine that after being in a basketball court, the user desires the wearable device to enter a basketball sport mode. So that the wearable can prompt the user whether to enter a basketball sport mode.

In the embodiment of the application, the electronic device can determine whether to prompt the user to enter the motion mode or determine whether to directly enter the motion mode by combining the motion data of the user and the position information of the user, so that the self-starting of the motion mode is facilitated, the tedious operation of the user and the loss of the motion data caused by the forgetting of the user are avoided, and the user experience is facilitated to be improved.

Fig. 5 shows a schematic flow chart of a method 300 for initiating a motion pattern provided by an embodiment of the application, where the method 300 may be used for a wearable device. As shown in fig. 5, the method 300 includes:

s301, the wearable device detects and identifies the motion parameters of the user based on the motion data acquired by the six-axis sensor, and classifies the current motion behavior, wherein the classification result comprises that the user is in a motion state or the user is in a non-motion state.

In this application embodiment, wearable equipment can classify the current motion of user according to user's motion parameter, and the motion and non-motion such as basketball sports, football, volleyball sports, table tennis can also be subdivided into to its classification result.

For example, for basketball and soccer, the identified sports parameters may be used to determine which sport the user is playing. For example, the motion parameters recognized by the wearable device include parameters of user turning, jumping and the like, and the parameters satisfy preset conditions, then the wearable device may determine that the user is in basketball; if the motion parameters recognized by the wearable device include parameters such as linear acceleration, leg movement and the like of the user, and the parameters meet preset conditions, the wearable device may determine that the user is in football.

For example, for basketball and volleyball sports, if the wearable device recognizes that the sports parameters include take-off, movement, etc., it can be determined which sports the user is performing by other parameters. For example, if the wearable device identifies a motion parameter that also includes a turn, the wearable device may determine that the user is in basketball; otherwise, if no turns are included in the identified motion parameters, the wearable device may determine that the user is in volleyball motion.

It should be understood that how the wearable device distinguishes between basketball sports, football sports, volleyball sports, and other sports patterns is described above by way of examples only, and the embodiments of the present application are not limited thereto.

S302, the wearable device receives Wi-Fi hotspot name information and/or position information sent by the mobile terminal.

In the embodiment of the application, the wearable device and the mobile terminal (e.g., a mobile phone) can establish connection through short-range wireless communication. Illustratively, the wearable device may establish a bluetooth connection or a Wi-Fi connection with the mobile terminal. The mobile terminal may send Wi-Fi hotspot name information and/or location information to the wearable device via near field wireless communication.

In one embodiment, the wearable device and the mobile terminal may log in to the same account, and then the mobile terminal may also send Wi-Fi hotspot name information and/or location information to the wearable device through the cloud server.

And S303, the wearable device classifies the current position of the user according to the Wi-Fi hotspot name information and/or the position information, and the classification result comprises that the user is in a sports field and the user is in a non-sports field.

In the embodiment of the application, the wearable device can classify the current position of the user according to the position information of the user, and the classification result can be further divided into sports fields such as basketball court, football field, volleyball court, table tennis court and non-sports field.

It should be appreciated that the location information may be one that the mobile terminal determines in conjunction with a satellite positioning system and map information.

For example, if the wearable device receives Wi-Fi hotspot name information sent by the mobile terminal, the wearable device may determine that the user is in a basketball court if the wearable device determines that the Wi-Fi hotspot name information contains information such as "basketball court", "basketball sport", or "basketball game".

For example, if the wearable device receives the location information sent by the mobile terminal, the wearable device may determine that the user is in a basketball court if the wearable device determines that the location information includes "XX basketball court", "basketball court", and so on.

For example, if the wearable device receives Wi-Fi hotspot name information and location information sent by the mobile terminal, the wearable device may determine that the user is in a basketball court when determining that the Wi-Fi hotspot name information or the location information meets a preset condition; or, the wearable device may determine that the user is located in the basketball court when determining that the name information and the location information of the Wi-Fi hotspot both satisfy the preset condition.

It should be understood that there may be no actual order between S301 and S302-S303.

And S304, based on the classification results in S301 and S303, performing final judgment on the current behavior of the user, wherein the judgment result is classified as entering the motion mode or not entering the motion mode.

In one embodiment, when the classification results of S301 and S303 satisfy a first preset condition, the wearable device prompts the user to start a motion 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 in S303 is that the user is in a sports field.

For example, if the wearable device determines that the user is in a basketball game in S301, and the wearable device determines that the user is currently in a basketball court in S303, the wearable device may automatically turn on the basketball game mode, or the wearable device may remind the user whether to enter the basketball game mode; otherwise, the wearable device does not enter the motion mode (remains in the current state).

Illustratively, the wearable device receives name information of a Wi-Fi hotspot sent by the mobile terminal. If the wearable device determines that the user is in basketball movement according to the collected movement data in S301, and the wearable device determines that the name information of the Wi-Fi hotspot includes information such as "basketball", the wearable device may prompt the user to start a movement mode in S303.

Illustratively, the wearable device receives location information sent by the mobile terminal. If the wearable device determines from the collected motion data that the user is in basketball motion in S301 and the wearable device determines that the location information includes "basketball court", "playground", etc. information in S303, the wearable device may prompt the user to initiate a motion mode.

Illustratively, the wearable device receives name information and position information of a Wi-Fi hotspot sent by the mobile terminal. If the wearable device determines that the user is in basketball motion according to the collected motion data in S301, the wearable device determines that the name information of the Wi-Fi hotspot includes information such as "basketball court", "basketball motion", and the like in S303, and the wearable device determines that the location information includes information such as "basketball court", "playground", and the like in S303, the wearable device may prompt the user to start a motion mode.

In one embodiment, the wearable device may perform checking and determining at regular intervals, and if the classification result is still basketball movement, the wearable device keeps silent and maintains the current state; if the game is a non-basketball game, the wearable device may remind the user that the basketball game mode has been turned off (or whether the basketball game mode has been turned off) by reminding the user in the manner shown in fig. 2.

In one embodiment, if the wearable device determines that the collected motion data of the user does not satisfy the second preset condition within a certain time interval, or the name information and/or the location information of the Wi-Fi hotspot received by the wearable device within a certain time interval does not satisfy the third preset condition, the wearable device may prompt the user to turn off the motion mode.

For example, the wearable device determines that the acquired motion data of the user does not satisfy the second preset condition within a certain time interval, including: the wearable device judges that the user is in a non-motion state according to the collected motion data.

For example, the name information and/or the location information of the Wi-Fi hotspot received by the wearable device within a certain time interval do not satisfy a third preset condition, including: the wearable device determines that the user is not in the sports field through the name information of the Wi-Fi hotspot; or the wearable device determines that the user is not in the sports field through the position information; alternatively, the wearable device determines that the user is not in the athletic field by the name information and location information of the Wi-Fi hotspot.

In one embodiment, if the wearable device determines that the collected motion data of the user does not satisfy the second preset condition within a certain time interval and the name information and/or the location information of the Wi-Fi hotspot received by the wearable device within the certain time interval does not satisfy the third preset condition, the wearable device may prompt the user to turn off the motion mode.

In an embodiment of the application, when the wearable device determines to be in a non-motion state or determines to be in a non-motion field, the wearable device may prompt the user to turn off the motion mode or directly turn off the motion mode. Therefore, the self-closing of the motion mode is facilitated, the complex operation of a user is avoided, and the inaccurate motion data caused by the fact that the user forgets to close the motion mode is avoided, so that the experience of the user is facilitated to be improved.

In one embodiment, the wearable device may also determine whether to enter the motion mode based on a historical location record maintained by the wearable device.

For example, the user manually selects to enter the motion mode on the wearable device when the user is located in "school playground in XX". The next time the user reaches "school playground in XX", the wearable device may prompt the user to initiate a motion mode.

As another example, in the history of the wearable device, the user has 8 selections to enter the motion mode manually in 10 locations in the "school playground in XX". The next time the user reaches "school playground in XX", the wearable device may prompt for initiation of the motion mode.

In the embodiment of the application, the wearable device can determine whether to prompt the user to enter the motion mode or determine whether to directly enter the motion mode by combining the motion data of the user and the position information of the user, so that the self-starting of the motion mode is facilitated, the tedious operation of the user and the loss of the motion data caused by the forgetting of the user are avoided, and the experience of the user is facilitated to be improved.

The following describes a process of determining whether to enter a motion mode by the wearable device through machine learning.

Fig. 6 shows a schematic flow chart of a method 400 for initiating a motion pattern provided by an embodiment of the application, where the method 400 may be used for a wearable device. As shown in fig. 6, the method 400 includes:

s401, the wearable device collects motion data of a user.

The six-axis sensor of the wearable device collects data of a current gyroscope sensor and an acceleration sensor of a user, and transmits collected motion data to a processor of the wearable device.

S402, the wearable device carries out parameter estimation.

The processor of the wearable device performs parameter estimation on motion data obtained based on a set of a certain sampling period Δ t (for example, the sampling period may be set to Δ t ═ 5min) to obtain current motion parameters of the user, including parameters such as a moving speed, a steering frequency, a lateral movement distance, and a vertical jump height.

For example, acceleration sensors on the wearable device may directly acquire acceleration in various directions of the measured site. The wearable device can calculate the vertical acceleration, and the acceleration curve is subjected to fixed integration before jumping to obtain the speed at any moment. And carrying out fixed integral calculation of a specific interval on the speed curve to obtain a human body vertical displacement curve. The vertical jump height in the jumping process can be obtained through analysis according to the human body vertical displacement curve.

And S403, the wearable device performs user behavior classification.

The processor of the wearable device may classify the current exercise behavior of the user by using a machine learning method based on the parameter estimation result and the user behavior database in the wearable device, where the classification result includes one of basketball movement and non-basketball movement, and a probability of the behavior result is given, for example, the probability of basketball movement is P₁The probability of non-basketball is P₂。

S404, the wearable device obtains name information of the Wi-Fi hotspot sent by the mobile terminal and/or position information of the mobile terminal.

A mobile terminal carried by a user, such as a mobile phone and the like, scans and acquires the name information of all WiFi hotspots at the position of the user through a Wi-Fi module, and stores the name information into a storage unit of mobile equipment.

The mobile terminal carried by the user, such as a mobile phone, acquires current geographic coordinate information (information such as longitude, latitude, altitude and the like) of the user through a satellite positioning system (such as a GPS, a beidou satellite positioning system and the like) on the mobile phone, and acquires geographic position information (such as a first school basketball hall) of the user by combining map information, and stores the geographic position information into a storage unit of the mobile device.

In one embodiment, the mobile terminal may further determine the geographic location information of the user in combination with an indoor positioning method. For example, the mobile terminal may use a Location Based Service (LBS) to determine the location of the user indoors. For example, the mobile terminal determines that the user is in a basketball hall or a mall using an indoor positioning method.

In one embodiment, the wearable device may also have a satellite positioning system, and then the wearable device may obtain the current geographic coordinate information of the user, and combine the current geographic coordinate information with the map information to obtain the geographic position information of the user.

It should be understood that the map information in the embodiment of the present application may be map information stored in the terminal device, or may also be stored in the cloud server, or may also be map information stored in the wearable device.

If the map information is stored by the cloud server, the mobile terminal or the wearable device can send the geographic coordinate information to the cloud server after acquiring the current geographic coordinate information. The cloud server can send the geographic position information of the user to the mobile phone or the wearable device by combining the geographic coordinate information and the map information.

Or, if the map information is stored in the mobile phone, the wearable device may send the geographic coordinate information to the mobile phone after acquiring the current geographic coordinate information. The mobile phone can obtain the geographic position information of the user by combining the geographic coordinate information and the map information sent by the wearable device. The cell phone may send the geographic location information of the user to the wearable device.

The wearable device and the mobile terminal can request Wi-Fi hotspot name information and/or position information of a user from the mobile terminal through near field communication modes such as Bluetooth and the like, and the information is stored in a storage unit of the wearable device after being acquired.

In one embodiment, the wearable device may also have Wi-Fi functionality, and then the wearable device may obtain the names of the surrounding Wi-Fi hotspots directly through the Wi-Fi functionality.

In one embodiment, the wearable device outputs the probability P in determining S403₁And sending a query request to the mobile terminal after the current time is greater than or equal to the preset value, wherein the query request is used for querying the Wi-Fi hotspot name information and/or the user position information acquired by the mobile terminal. 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 geographical location information of the user.

In the embodiment of the application, a training data set can be stored in a user behavior database stored in the wearable device, wherein the training data set can be obtained through collected motion parameters of different users when playing basketball. After the wearable device performs parameter estimation to obtain the motion parameters, the wearable device may input the motion parameters into the user behavior database to obtain the probability P₁. Probability P₁The matching degree of the motion parameters obtained by the wearable device through parameter estimation and the motion parameters stored in the training data set can also be understood. In this way the wearable device can quantify the user's motion data into probability values.

Since the wearable device cannot directly determine whether the user is in motion state through the motion parameters. The data can be quantized in a machine learning mode, so that the wearable device can judge whether the user is in a motion state or not according to the quantized probability value. Meanwhile, the detection precision is also improved in a machine learning mode.

It should be understood that the wearable device may also send the query request to the mobile terminal just after S402.

And S405, classifying the current position of the user by adopting a machine learning method based on the information acquired in S404 and the name information and/or the position information database of the Wi-Fi hotspot in the wearable device.

It should be understood that, in the embodiment of the present application, the wearable device may store a database of name information and location information of the Wi-Fi hotspot, where the database may be obtained through a large amount of data statistics.

For example, the name information of Wi-Fi hotspots of all basketball courts in a certain city can be collected, and the collected data is stored in the database.

For another example, position information related to a basketball court in the map data may be extracted from a Baidu map, a Gade map, or the like, and the extracted data may be stored in the data.

For example, the name information and location information database of the Wi-Fi hotspots stored in the wearable device records the location information of each basketball court in 100 basketball sports grounds of a city and the name information of the Wi-Fi hotspots around each basketball court. When the name information of the Wi-Fi hotspot acquired by the wearable device comprises 'XX convenience store', the wearable device can match the acquired name information of the Wi-Fi hotspot with information recorded in a database. For example, if the "XX convenience store" is the name of a Wi-Fi hotspot of a convenience store within a certain basketball court, then the wearable device may determine that the user is within the basketball court.

It should also be understood that the Wi-Fi hotspot name information and location information database may be one database, or the database may be divided into a Wi-Fi hotspot name information database and a Wi-Fi hotspot location information database.

Illustratively, the classification result includes a probability of being in a sports court and a probability of being in a non-basketball court, such as a probability of being in a basketball court of P₃The probability that the user is in the non-basketball court is P₄。

Illustratively, the name information of the Wi-Fi hotspot stored in the wearable device and the 'XX convenience store' recorded in the position information database are names of Wi-Fi hotspots of convenience stores in a certain basketball court. After a period of time, the name of the Wi-Fi hotspot of the convenience store in the basketball court is updated to be 'XX convenience store', and then the wearable device can output the probability that the user is in the basketball court as P according to the matching degree of the updated name of the Wi-Fi hotspot and the original name of the Wi-Fi hotspot₃。

In the embodiment of the application, a name information and position information database of the Wi-Fi hotspot is stored in the wearable device. After the wearable device acquires the name information and/or the position information of the Wi-Fi hotspot, the wearable device can input the name information and/or the position information of the Wi-Fi hotspot into the database, so that the probability P is obtained₃. Probability P₃The matching degree of the name information and/or the position information of the Wi-Fi hotspot acquired by the wearable device and the database can also be understood. In this way the wearable device can quantify the location characteristics of the user into probability values.

Since the wearable device cannot determine whether the user is in the athletic field directly from the name information and location information of the Wi-Fi hotspot. The data can be quantized in a machine learning mode, so that the wearable device can judge whether the user is in the sports field or not according to the quantized probability value. Meanwhile, the detection precision is also improved in a machine learning mode.

In one embodiment, the name information and location information database of the Wi-Fi hotspot may also be stored in a mobile phone, the wearable device may send an inquiry request to the mobile terminal, where the inquiry request may be used to request the mobile phone to classify the current location of the user, and the mobile phone may input the detected name information and location information of the Wi-Fi hotspot into the name information and location information database of the Wi-Fi hotspot, so as to obtain a probability that the user is in a sports field and a 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.

S406, based on the behavior characteristics and the position information of the user, the user behaviors are finally classified, and the classification result comprises the movement entering mode and the movement not entering mode.

In this embodiment of the application, the classification results obtained in S403 and S405 are prepared for final classification of the wearable device. The obtained classification results in S403 and S405 may be used as parameter inputs, and a final classification result may be output through calculation of the wearable device. Or, the wearable device may perform data fusion with the obtained classification results in S403 and S405 to obtain a final classification result.

Illustratively, the wearable device may incorporate the probability P output of S403₁And probability P of S405 output₃And determining a final classification result according to a preset calculation mode.

In one embodiment, the wearable device may be based on P₁And P₃The average value of the user behavior is compared with the preset value, and the user behavior is classified. Illustratively, if the average value is greater than or equal to the preset value, the classification result is entering a motion mode; if the average value is smaller than the preset value, the classification result is that the motion mode is not entered.

In this embodiment, the wearable device may calculate P₁And P₃The average value of the motion data is compared with a preset value, so that the motion data of the user and the acquired position information collected by the wearable device are quantized. The wearable device is facilitated to judge whether to automatically enter the motion mode or not through the quantized probability value, or whether to prompt the user to enter the motion mode or not.

It should be understood that the preset value may be a threshold value pre-stored in the wearable device. Alternatively, after calculating the average value, the wearable device may obtain the preset value from a server (the server may calculate the preset value through big data). The examples of the present application are not intended to be limiting.

In one embodiment, the wearable device may be determining P₁Greater than or equal to a first predetermined value and P₃And when the classification result is greater than or equal to the second preset value, determining that the final classification result is the entering of the motion mode.

The wearable device can be in determining P₁If the classification result is smaller than the first preset value, determining that the final classification result is that the movement mode is not entered; alternatively, the wearable device may be determining P₃If the classification result is smaller than the second preset value, determining that the final classification result is that the movement mode is not entered; alternatively, the wearable device may be determining P₁Less than a first predetermined value and P₃If the classification result is less than the second preset value, the final classification result is determined as not entering the motionMode(s).

In one embodiment, the wearable device may be based on P₁And P₃Sum of (1) and P₂And P₄The user behavior is classified as a result of the sum comparison. Exemplarily, if P₁And P₃Is greater than P₂And P₄If the sum of the above results is less than the threshold, then the classification result is entering the motion mode; if P is₁And P₃Is less than P₂And P₄Then the classification result is no motion mode entered.

For example, if the classification result is a basketball movement, the wearable device automatically starts a basketball movement mode, and reminds the user that the wearable device starts the basketball movement mode through voice broadcast or a vibration mode (or further asks the user to confirm whether to start the movement mode again); if the basketball movement is not performed, the wearable device does not start the basketball movement mode.

In one embodiment, the wearable device is checked and determined once at regular time intervals (e.g., Δ t ═ 5min), and if the classification result is still entering the motion mode, the wearable device is silent and maintains the current state; if the basketball game mode is not to be entered, the user is reminded that the electronic equipment is about to close the basketball game mode through voice broadcast or vibration (or the user can be further asked to confirm whether the basketball game mode is closed again).

In the embodiment of the application, the wearable device can perform data fusion to estimate the current behavior characteristics of the user based on Wi-Fi hotspot information near the mobile terminal carried by the user, the position information of the user and the motion data of the user collected by the wearable device, so that the self-starting/ending detection of the basketball motion mode is realized.

In one embodiment, the wearable device may send an inquiry request to the mobile terminal after executing S403, where the inquiry request is used to inquire Wi-Fi hotspot name information and/or location information of the mobile terminal stored 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 may directly determine whether to enter the motion mode according to the result output in S403.

The method 300 and the method 400 are introduced above, wherein in the method 300 and the method 400, after obtaining the motion data of the user and the name information and the location information of the Wi-Fi hotspot sent by the mobile terminal, the wearable device may respectively judge the user behavior characteristic and the user location characteristic, and finally judge whether to remind the user to enter the motion mode. A schematic flow chart of another method 500 for detecting a motion pattern provided by embodiments of the present application is described below in conjunction with the method 500, where the method 500 may be used in a wearable device. As shown in fig. 7, the method 500 includes:

s501, the wearable device collects motion data of a user.

And S502, the wearable device carries out parameter estimation.

S503, the wearable device performs user behavior classification.

It should be understood that the processes of S501-S503 may refer to the processes of S401-S403 in the method 400, and are not described herein again for brevity.

S504, the wearable device determines whether the user is in a motion state.

In one embodiment, taking basketball mode as an example, if the wearable device determines the probability P of the user being in basketball movement obtained in S503₁Greater than or equal to the preset value, the wearable device may determine that the user is in motion.

In one embodiment, taking a basketball mode as an example, if the wearable device determines that the probability of the user being in a basketball game obtained in S503 is P₁Greater than the probability of non-basketball movement P₂Then the wearable device may determine that the user is in motion.

In one embodiment, if the wearable device determines that the user is not in motion, the wearable device may remain in the current state.

And S505, if the wearable device determines that the user is in the motion state, the wearable device acquires name information and/or position information of the Wi-Fi hotspot.

In one embodiment, if the wearable device does not have a Wi-Fi function and has a location function, the wearable device may request name information and/or location information of a Wi-Fi hotspot from the mobile terminal.

When the wearable device determines that the user is in motion, the wearable device may send a query request to the mobile terminal, the query request requesting name information and location information of the Wi-Fi hotspot. Illustratively, the inquiry request may be carried in a Bluetooth (BLE) packet.

In the embodiment of the application, the wearable device can request the mobile terminal for name information and/or position information of the Wi-Fi hotspot after determining that the user is in the motion state, so that signaling overhead between the wearable device and the mobile terminal can be saved, and unnecessary signaling interaction between the wearable device and the mobile terminal is avoided.

In one embodiment, if the wearable device has Wi-Fi functionality, the wearable device may obtain name information of surrounding Wi-Fi hotspots; or, if the wearable device has a satellite positioning system, the wearable device may acquire current geographic coordinate information of the user, so as to determine geographic position information of the user in combination with the map information; or, if the wearable device has a Wi-Fi function and a satellite positioning system, the wearable device may acquire name information of surrounding Wi-Fi hotspots and current geographic coordinate information of the user, and determine geographic location information of the user by combining map information.

It should be understood that the wearable device may have a satellite positioning system but not contain map information, and the wearable device may then send corresponding geographic coordinate information to the server and receive geographic location information of the user from the server.

Alternatively, the wearable device may send corresponding geographic coordinate information to the mobile terminal, and the mobile terminal determines geographic location information of the user in combination with the map information. The mobile terminal may send the geographic location information of the user to the wearable device.

In one embodiment, the wearable device has Wi-Fi functionality. The wearable device does not turn on Wi-Fi functionality when it determines that the user is in a motion state. The wearable device may automatically turn on the Wi-Fi function when it is determined that the user is in a motion state, thereby obtaining name information of surrounding Wi-Fi hotspots.

In one embodiment, the wearable device has a satellite positioning system. When the wearable device determines that the user is in the motion state, the positioning function is not started. The wearable device may automatically turn on the positioning function when it is determined that the user is in a motion state, so as to obtain the current geographic coordinate information of the user.

S506, the wearable device judges whether name information and/or position information of the Wi-Fi hotspot is acquired within a preset time length.

In an embodiment, when the wearable device does not acquire the name information and the location information of the Wi-Fi hotspot sent by the mobile terminal within the preset time period, the wearable device may execute S509 to remind the user to enter a motion mode.

S507, if the wearable device obtains the name information and/or the position information of the Wi-Fi hotspot within the preset time, the wearable device classifies the position of the user.

It should be understood that S507 may refer to the above-mentioned process of S405, and is not described herein again for brevity.

S508, the wearable device determines whether the user is in a sports field.

In one embodiment, taking the basketball mode as an example, if the wearable device determines the probability P obtained in S507 that the user is in the basketball court₃Greater than or equal to the preset value, then the wearable device may determine that the user is in the athletic field.

In one embodiment, taking the basketball mode as an example, if the wearable device determines the probability P of being in the basketball court obtained in S507₃Is greater than the probability P of the user in the basketball court₄Then the wearable device may determine that the user is in the athletic field.

In one embodiment, after obtaining the name information and the location information of the Wi-Fi hotspot, the wearable device may first determine whether the user is in a sports field according to the obtained name information of the Wi-Fi hotspot. For example, the name information of the Wi-Fi hotspot acquired by the wearable device includes "basketball court", "sports", and the like, and then the wearable device may determine that the user is in the basketball court, and at this time, the wearable device may directly determine that the user is in the sports court without determining the location information.

In one embodiment, if the wearable device determines that the user is performing a certain sport according to the sport parameters of the user, and the wearable device determines that the user is in the field of another sport according to the obtained name information of the Wi-Fi hotspot and/or the position information of the user, the wearable device may prompt the user to select one of two sport modes.

Fig. 8 shows another scene schematic diagram provided in the embodiment of the present application.

As shown in (a) of fig. 8, information such as time, weather, power, and unread message may be displayed on the display interface. When the user is playing badminton, the wearable device can collect the motion data of the user through the sensor, and determine that the user is in a badminton state based on the collected motion data.

As shown in fig. 8 (b), compared to the display interface shown in fig. 8 (a), the display interface displays that the wearable device has connected a Wi-Fi router with a Wi-Fi hotspot name of "basketball store convenience store". At this time, the wearable device may determine that the user is in the basketball court according to the positioning function.

When the wearable device determines that the user is in a badminton state and in a basketball court, a display interface may be displayed as shown in (c) of fig. 8. The wearable device may remind the user by text "detect you are moving, please select the motion mode". The wearable device may provide the user with athletic patterns including a basketball athletic pattern and a badminton athletic pattern. The user may choose to enter a badminton mode.

Further, the wearable device may also count historical records.

For example, the wearable device may count the number of times the basketball mode is turned on and the number of times the badminton mode is turned on when the wearable device is in the "XX basketball court" or when a Wi-Fi router of the "basketball court convenience store" is connected within 1 month. If the number of times that the user opens the badminton mode is larger than the number of times that the user opens the basketball mode, the wearable device can directly prompt the user whether to open the badminton mode or not when the wearable device determines that the user is playing the badminton according to the motion parameters of the user and the position information of the user acquired by the wearable device is the 'XX middle school basketball court' or when a Wi-Fi router of a 'basketball court convenience store' is connected.

In one embodiment, after obtaining the name information and the location information of the Wi-Fi hotspot, the wearable device may first determine whether the user is in a sports field according to the obtained name information of the Wi-Fi hotspot. For example, the wearable device may input the name information of the Wi-Fi hotspot into a stored name information database of the Wi-Fi hotspot to obtain a probability that the user is at the athletic field. If the probability is less than the preset value, the wearable device may continue to determine whether the user is in the athletic field via the location information.

For example, the wearable device may input the location information into a stored location information database to obtain a probability that the user is in the athletic field, and if the probability is smaller than a preset value, the wearable device may determine that the user is not in the athletic field; if the probability is greater than or equal to a preset value, the wearable device may determine that the user is in the athletic field.

S509, if the wearable device determines that the user is in the athletic field, the wearable device prompts the user to enter an athletic mode.

In one embodiment, the wearable device may repeat the above process periodically, and thus may automatically enter or exit the motion mode.

Fig. 9 is another schematic flow chart diagram illustrating a method 600 for initiating a movement pattern provided by an embodiment of the present application. The method may be performed by an electronic device, the method 600 comprising:

s601, the electronic equipment acquires first motion data of a user.

It should be understood that S601 may refer to the description of S401-S402 above, and is not described herein again for brevity.

S602, the electronic device acquires first information, wherein the first information comprises name information of Wi-Fi hotspots around the electronic device and/or first position information of the electronic device.

Optionally, if the electronic device includes a Wi-Fi function, the electronic device may obtain name information of Wi-Fi hotspots around the electronic device through the Wi-Fi function; if the electronic equipment comprises a positioning function, the electronic equipment can obtain first position information of the electronic equipment through the positioning function.

Optionally, if the electronic device determines that the Wi-Fi function of the electronic device is in the off state when the user is in the motion state through the first motion data, the method further includes: the electronic equipment starts a Wi-Fi function; and/or if the electronic device determines that the positioning function of the electronic device is in the off state when the user is in the motion state through the first motion data, the method further comprises: the electronic device initiates a positioning function.

In the embodiment of the application, the electronic device can automatically start the Wi-Fi function and/or the positioning function after determining that the user is in the motion state through the first motion data, so that the power consumption of the electronic device can be saved.

Optionally, if the electronic device does not include a Wi-Fi function, the electronic device may acquire name information of Wi-Fi hotspots around the electronic device from another electronic device; if the electronic device does not include a positioning function, the electronic device may acquire first location information where the electronic device is located from another electronic device.

Optionally, when the electronic device determines that the user is in a motion state through the first motion data, the electronic device requests another electronic device for name information of Wi-Fi hotspots around the electronic device; and/or when the electronic equipment determines that the user is in the motion state through the first motion data, the electronic equipment requests the other electronic equipment for the first position information of the electronic equipment.

In the embodiment of the application, the electronic device can request the name information and/or the first position information of the Wi-Fi hotspot from another electronic device after determining that the user is in the motion state through the first motion data, so that the power consumption of the electronic device can be saved.

S603, the first electronic device prompts the user to start the motion mode or start the motion mode according to the first motion data and the first information.

It should be understood that the process of S603 may refer to the processes of S403, S405, and S406, which are not described herein again for brevity.

Optionally, the prompting, by the first electronic device, the user to start a motion mode according to the first motion data and the first information, or starting the motion mode includes: acquiring a first probability and a second probability, wherein the first probability is obtained by inputting the first motion data into a first database, the second probability is obtained by inputting the first information into a second database, the first database is obtained by acquiring the motion data of a user in a motion state, and the second database is obtained by acquiring the name information and the position information of a Wi-Fi hotspot in a motion field; and prompting the user to start the motion mode or starting the motion mode according to the first probability and the second probability.

It should be understood that the first database may be the user behavior database described above; the second database may be a Wi-Fi hotspot name information and location information database.

It should also be understood that, in the embodiment of the present application, the process of how to prompt the user to start the exercise mode or directly start the exercise mode through the first probability and the second probability is not particularly limited.

Optionally, prompting the user to start the motion mode or starting the motion mode according to the first probability and the second probability includes:

and when the first probability is larger than or equal to a first preset value and the second probability is larger than or equal to a second preset value, prompting a user to start the motion mode or starting the motion mode.

It is to be understood that the first probability being greater than or equal to the first preset value may also be understood as the first electronic device determining that the user is in a motion state.

It is also understood that the second probability being greater than or equal to the second predetermined value may also be understood as the first electronic device determining that the user is in the athletic field.

and prompting the user to start the motion mode or starting the motion mode when the average value of the first probability and the second probability is larger than or equal to a preset value.

Optionally, the method 600 further comprises:

the first electronic equipment acquires second motion data of a user;

the first electronic equipment acquires second information, wherein the second information comprises name information of Wi-Fi hotspots around the first electronic equipment and/or second position information of the first electronic equipment;

and when the first electronic equipment determines that the user is in a non-sport state according to the second sport data or determines that the user is in a non-sport field according to the second information, prompting the user to close the sport mode or close the sport mode.

In this embodiment of the application, when the first electronic device determines that the first electronic device is in a non-sport state or determines that the first electronic device is in a non-sport area, the electronic device may prompt the user to turn off the sport mode or directly turn off the sport mode. The method and the device are beneficial to realizing the self-closing of the motion mode, avoid the complicated operation of a user and inaccurate motion data caused by forgetting to close the user, and are beneficial to improving the experience of the user.

In some possible implementations, the determining, by the first electronic device and according to the second motion data, that the user is in a non-motion state includes:

the first electronic equipment acquires a third probability, and the third probability is obtained by inputting second motion data into the first database; and when the third probability is smaller than the first preset value, the first electronic equipment determines that the user is in a non-motion state.

In some possible implementations, the determining, by the first electronic device and according to the second information, that the user is at a non-athletic field includes:

the first electronic equipment acquires a fourth probability, and the fourth probability is obtained by inputting second information into a second database; and when the fourth probability is smaller than the second preset value, the first electronic equipment determines that the user is in a non-sports field.

Also provided in embodiments herein is an electronic device that may include a six-axis sensor 102, as shown in fig. 1, a processor 104, and RF circuitry 105. Wherein, the six-axis sensor 102 may be used to execute the step in S601 above; the RF circuit 105 may be configured to receive the name information and/or the first location information of the Wi-Fi hotspot received by the other electronic device in S602; the processor 104 may be configured to execute the step in S603.

Alternatively, the RF circuitry may be configured to provide Wi-Fi functionality, and the electronic device may obtain, via the RF circuitry, name information for Wi-Fi hotspots around the electronic device.

Alternatively, the RF circuit may be used to provide a location function, and the electronic device may then obtain location information of the electronic device via the RF circuit.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for initiating a movement mode, the method being applied to a system comprising a first electronic device and a second electronic device, the first electronic device and the second electronic device being connected by a short-range wireless communication technology, the method comprising:

the first electronic equipment acquires first motion data of a user;

the second electronic equipment sends first information to the first electronic equipment, wherein the first information comprises name information of a Wi-Fi hotspot detected by the second electronic equipment and/or first position information of the second electronic equipment;

and the first electronic equipment prompts a user to start a motion mode or starts the motion mode according to the first motion data and the first information.

2. The method of claim 1, wherein the first electronic device prompting a user to initiate a motion mode or initiating the motion mode based on the first motion data and the first information comprises:

acquiring a first probability and a second probability, wherein the first probability is obtained by inputting the first sports data into a first database, the second probability is obtained by inputting the first information into a second database, the first database is obtained by collecting the sports data of a user in a sports state, and the second database is obtained by collecting the name information and the position information of a Wi-Fi hotspot in a sports field;

and prompting a user to start the motion mode or starting the motion mode according to the first probability and the second probability.

3. The method of claim 2, wherein prompting a user to initiate the movement pattern or initiating the movement pattern based on the first probability and the second probability comprises:

and prompting a user to start the motion mode or starting the motion mode when the first probability is larger than or equal to a first preset value and the second probability is larger than or equal to a second preset value.

4. The method of claim 2, wherein prompting a user to initiate the movement pattern or initiating the movement pattern based on the first probability and the second probability comprises:

and when the average value of the first probability and the second probability is greater than or equal to a preset value, prompting a user to start the motion mode, or starting the motion mode.

5. The method according to any one of claims 1 to 4, further comprising:

the first electronic equipment acquires second motion data of a user;

the second electronic equipment sends second information to the first electronic equipment, wherein the second information comprises name information of a Wi-Fi hotspot detected by the second electronic equipment and/or second position information of the second electronic equipment;

and the first electronic equipment determines that the user is in a non-sport state according to the second sport data, or prompts the user to close the sport mode or close the sport mode when determining that the user is in a non-sport field according to the second information.

6. The method of any of claims 1-5, wherein prompting a user to initiate a motion pattern comprises: prompting the user to initiate the movement pattern by voice or vibration.

7. The method of any one of claims 1-6, wherein the account logged into on the first electronic device is associated with the account logged into on the second electronic device.

8. The method of any one of claims 1-7, wherein the first electronic device is a wearable device.

9. A method for starting a motion mode, the method being applied to a first electronic device and comprising:

the first electronic equipment acquires first motion data of a user;

the first electronic equipment acquires first information, wherein the first information comprises name information of Wi-Fi hotspots around the first electronic equipment and/or first position information of the first electronic equipment;

10. The method of claim 9, wherein the first electronic device prompting a user to initiate a motion mode or initiating the motion mode based on the first motion data and the first information comprises:

11. The method of claim 10, wherein prompting a user to initiate the movement pattern or initiating the movement pattern based on the first probability and the second probability comprises:

12. The method of claim 10, wherein prompting a user to initiate the movement pattern or initiating the movement pattern based on the first probability and the second probability comprises:

13. The method according to any one of claims 9 to 12, further comprising:

the first electronic equipment acquires second motion data of a user;

14. The method of any of claims 9 to 13, wherein the prompting the user to initiate the movement mode comprises:

and the first electronic equipment prompts a user to start the motion mode through voice or vibration.

15. The method according to any one of claims 9 to 14, wherein the first electronic device and the second electronic device are connected by a short-range wireless communication technology, and wherein the first electronic device acquires first information, comprising:

and the first electronic equipment receives the first information sent by the second electronic equipment.

16. The method of claim 15, wherein the account logged into on the first electronic device is associated with the account logged into on the second electronic device.

17. An electronic device, comprising:

one or more processors;

one or more memories;

the one or more memories store one or more computer programs, the one or more computer programs comprising instructions, which when executed by the one or more processors, cause the electronic device to perform the steps of:

acquiring first motion data of a user;

acquiring first information, wherein the first information comprises name information of Wi-Fi hotspots around the first electronic equipment and/or first position information of the first electronic equipment;

and prompting a user to start a motion mode or starting the motion mode according to the first motion data and the first information.

18. The electronic device of claim 17, wherein the instructions, when executed by the one or more processors, cause the electronic device to perform the steps of:

19. The electronic device of claim 18, wherein the instructions, when executed by the one or more processors, cause the electronic device to perform the steps of:

20. The electronic device of claim 18, wherein the instructions, when executed by the one or more processors, cause the electronic device to perform the steps of:

21. The electronic device of any of claims 17-20, wherein the instructions, when executed by the one or more processors, cause the electronic device to perform the steps of:

acquiring second motion data of the user;

acquiring second information, wherein the second information comprises name information of Wi-Fi hotspots around the first electronic equipment and/or second position information of the first electronic equipment;

and prompting the user to close the sport mode or close the sport mode when the user is determined to be in a non-sport state according to the second sport data or the user is determined to be in a non-sport field according to the second information.

22. The electronic device of any of claims 17-21, wherein the instructions, when executed by the one or more processors, cause the electronic device to perform the steps of:

prompting the user to initiate the movement pattern by voice or vibration.

23. The electronic device of any of claims 17-22, wherein the first electronic device and second electronic device are connected by a short-range wireless communication technology, and wherein the instructions, when executed by the one or more processors, cause the electronic device to perform the steps of:

and receiving the first information sent by the second electronic equipment.

24. The electronic device of claim 23, wherein the account logged into the first electronic device is associated with the account logged into the second electronic device.

25. A computer readable storage medium comprising computer instructions which, when run on an electronic device, cause the electronic device to perform the method of initiating a movement pattern of any of claims 9 to 16.