WO2021218940A1

WO2021218940A1 - Workout class recommendation method and apparatus

Info

Publication number: WO2021218940A1
Application number: PCT/CN2021/090085
Authority: WO
Inventors: 姜永航; 陈霄汉
Original assignee: 华为技术有限公司
Priority date: 2020-04-27
Filing date: 2021-04-27
Publication date: 2021-11-04
Also published as: CN113643787A

Abstract

A workout class recommendation method and apparatus, said method comprising: obtaining body state information of a current user, the body state information coming from one or many devices among smart home, medical platform, and wearable devices; determining a workout class appropriate for the current user according to the body state information; recommending said workout class appropriate for the current user. The present method allows a recommended workout class to better meet personalized needs of a user.

Description

Method and device for pushing fitness courses

This application claims the priority of a Chinese patent application filed with the State Intellectual Property Office of China, the application number is 202010344407.1, and the application name is "Fitness Course Push Method and Device" on April 27, 2020, the entire content of which is incorporated into this application by reference middle.

Technical field

This application relates to computer technology, in particular to a method and device for pushing fitness courses.

Background technique

In recent years, the group of fitness enthusiasts has gradually increased, and intelligent fitness services have emerged. In this type of service, an important function is the push of fitness courses. How to push users the most suitable fitness courses for users is an urgent problem to be solved.

In related technologies, the user's training plan can be formulated and adjusted according to the user's personal situation and training purpose, and related fitness courses can be pushed to the user. However, the fitness courses pushed by this method are relatively programmatic and cannot fully meet the individual needs of users.

Summary of the invention

This application provides a method and device for pushing fitness courses, so that the pushed fitness courses are more in line with the personalized needs of users.

In the first aspect, this application provides a method for pushing fitness courses, including: obtaining physical state information of the current user, the physical state information coming from one or more of wearable devices, smart homes, and medical platforms; according to the The body state information determines the fitness course suitable for the current user; and pushes the fitness course suitable for the current user.

This application determines the fitness course most suitable for the user according to the user's physical state information, which has multiple sources such as wearable devices, smart homes, and medical platforms, so that the pushed fitness courses are more in line with the user's personalized needs.

In a possible implementation, the body state information includes one or more of body fat rate, average daily activity level, sleep time, stress index, cardiopulmonary data, medical records, and physical examination reports. The body fat rate comes from the smart home, the daily average amount of activity, the sleep time, and the cardiopulmonary data come from the wearable device, and the stress index, the medical record, and the physical examination report come from the Medical platform.

In a possible implementation, the physical state information further includes: the personal information and/or fitness purpose of the current user, and the personal information includes one or more of age, gender, height, weight, and job category. Pieces of information, the personal information and the fitness purpose come from a questionnaire of the current user or an application or device associated with the personal account of the current user.

In a possible implementation, the physical state information further includes: the current user's athletic ability, the athletic ability includes one or more of joint flexibility, limb strength, core strength, and physical fitness, so The exercise ability comes from a fitness video shot by the wearable device or the camera device in the fitness environment of the current user.

The above-mentioned physical state information of the user includes various applications or equipment from wearable devices, smart homes, medical platforms, etc., and can also come from questionnaires, camera devices, etc. The obtained user portraits are closer to the actual situation, which makes the pushed fitness courses more in line with the individual needs of users.

In a possible implementation manner, the method further includes: obtaining feedback information of the current user, the feedback information including one or more of course click-through rate, like record, course collection record, and class experience record; The determining the fitness course suitable for the current user according to the body state information includes: determining the fitness course suitable for the current user according to the body state information and feedback information of the current user.

The user's feedback information can more intuitively reflect the user's preference for fitness courses.

In a possible implementation manner, the method further includes: determining the size of the space of the current user's fitness environment through the fitness video shot by the camera device in the current user's fitness environment; The fitness course for the current user includes: determining a fitness course suitable for the current user according to the body state information, the feedback information of the current user and/or the size of the space of the fitness environment of the current user.

Learn about the user's fitness environment through the fitness real-time screen, so that you can push fitness courses that are more in line with the environment.

In a possible implementation, before acquiring the physical state information of the current user, the method further includes: associating one or more devices according to the personal account of the current user, the one or more devices including the wearable One or more of the equipment, the smart home, the medical platform, and the camera device; and/or one or more applications are associated with the personal account of the current user.

Connect multiple devices through the user's personal account, so as to collect more information related to the user's physical state.

In a possible implementation manner, the determining a fitness course suitable for the current user according to the body state information includes: determining a fitness course suitable for the current user through a pre-created fitness course recommendation model according to the body state information Fitness classes for users.

In a possible implementation manner, it further includes: pushing records according to expert knowledge, the physical state information of the historical user, the feedback information of the historical user, the space size of the fitness environment of the historical user, and the historical fitness course One or more pieces of information to create the fitness course recommendation model.

The fitness course recommendation model can be intelligently close to different users and needs.

In a possible implementation, after the pushing the fitness course applicable to the current user, the method further includes: judging whether the pushed fitness course is suitable for the current user; if the pushed fitness course is not If it is suitable for the current user, a new fitness course suitable for the current user is determined.

In a second aspect, this application provides a fitness course push device, including: an acquisition module for acquiring physical state information of the current user, the physical state information coming from one or more of wearable devices, smart homes, and medical platforms Equipment; a processing module for determining a fitness course suitable for the current user according to the body state information; pushing the fitness course suitable for the current user.

In a possible implementation manner, the acquisition module is also used to acquire feedback information of the current user, and the feedback information includes one or one of course click-through rate, like record, course collection record, and class experience record. Multiple pieces of information; the processing module is also used to determine a fitness course suitable for the current user according to the body state information and the feedback information of the current user.

In a possible implementation, the processing module is further configured to determine the spatial size of the current user's fitness environment through the fitness video shot by the camera device in the current user's fitness environment; Information, and the feedback information of the current user and/or the size of the space of the fitness environment of the current user determine a fitness course suitable for the current user.

In a possible implementation manner, the processing module is further configured to associate one or more devices according to the personal account of the current user, and the one or more devices include the wearable device, the smart home One or more devices in the medical platform and the camera device; and/or one or more applications are associated with the personal account of the current user.

In a possible implementation manner, the processing module is specifically configured to determine a fitness course suitable for the current user through a pre-created fitness course recommendation model according to the body state information.

In a possible implementation manner, the processing module is also used for the physical state information of the historical user, the feedback information of the historical user, the spatial size and history of the fitness environment of the historical user, and the processing module One or more pieces of information in the fitness course push record create the fitness course recommendation model.

In a possible implementation, the processing module is also used to determine whether the pushed fitness course is suitable for the current user; if the pushed fitness course is not suitable for the current user, it is determined to be suitable for the current user. Describe the current user’s new fitness course.

In a third aspect, this application provides a terminal device, including: one or more processors; a memory, used to store one or more programs; when the one or more programs are executed by the one or more processors , Enabling the one or more processors to implement the method according to any one of the foregoing first aspects.

In a fourth aspect, the present application provides a computer-readable storage medium, including a computer program, which when executed on a computer, causes the computer to execute the method described in any one of the above-mentioned first aspects.

In a fifth aspect, the present application provides a computer program, when the computer program is executed by a computer, it is used to execute the method described in any one of the above-mentioned first aspects.

Description of the drawings

Figure 1 shows an exemplary frame diagram of the intelligent push system for fitness courses provided by this application;

Figure 2 shows an exemplary schematic diagram of the intelligent push system for fitness courses provided by the present application;

FIG. 3 is an exemplary structural block diagram of the server 300 provided by this application;

FIG. 4 shows a schematic structural diagram of a terminal device 400;

Fig. 5 is a flowchart of an embodiment of a method for applying for a fitness course push;

Figure 6 shows an exemplary schematic diagram of the questionnaire;

Fig. 7 shows an exemplary schematic diagram of incorporating a wearable device;

8a and 8b respectively show exemplary schematic diagrams of fitness course push interfaces on mobile phones and TVs;

Figures 9a and 9b respectively show exemplary screens of brief introductions to fitness courses on mobile phones and TV;

Figures 10a and 10b respectively show exemplary pictures of fitness classes on a mobile phone and a TV;

Fig. 11a and Fig. 11b respectively show exemplary pictures of fitness courses on a mobile phone and a TV;

Fig. 12 shows an exemplary schematic diagram of the current user feedback interface.

Detailed ways

In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be described clearly and completely in conjunction with the accompanying drawings in this application. Obviously, the described embodiments are part of the embodiments of this application. , Not all examples. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application.

The terms "first", "second", etc. in the specification embodiments, claims, and drawings of this application are only used for the purpose of distinguishing description, and cannot be understood as indicating or implying relative importance, nor can it be understood as indicating Or imply the order. In addition, the terms "including" and "having" and any variations of them are intended to cover non-exclusive inclusions, for example, including a series of steps or units. The method, system, product, or device need not be limited to those clearly listed steps or units, but may include other steps or units that are not clearly listed or are inherent to these processes, methods, products, or devices.

It should be understood that in this application, "at least one (item)" refers to one or more, and "multiple" refers to two or more. "And/or" is used to describe the association relationship of associated objects, indicating that there can be three types of relationships, for example, "A and/or B" can mean: only A, only B, and both A and B , Where A and B can be singular or plural. The character "/" generally indicates that the associated objects before and after are in an "or" relationship. "The following at least one item (a)" or similar expressions refers to any combination of these items, including any combination of a single item (a) or a plurality of items (a). For example, at least one of a, b, or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c" ", where a, b, and c can be single or multiple.

This application provides an intelligent push system for fitness courses, which mainly solves the problem of how to push the most suitable fitness courses to users in fitness applications (APP). Generally, the fitness process is affected by the user’s physical condition, fitness purpose, exercise ability, health status, sleep quality, psychological pressure, and external space environment. Only by comprehensively considering as much information as possible can we formulate the most suitable training for the user. Plan, and then recommend the most suitable fitness courses for users.

Figure 1 shows an exemplary framework diagram of the intelligent push system for fitness courses provided by the present application. As shown in Figure 1, the adaptive recommendation module collects a number of data, which includes one or more of the following information : Physical parameters (such as height, weight, age, gender, etc.), fitness goals (such as fat loss, shaping, muscle gain, etc.), athletic ability (such as joint flexibility, lower limb strength, core strength, upper limb strength, physical fitness, etc.) , Health status (such as disease records, psychological stress, etc.), sleep quality (such as time to fall asleep, deep sleep time, etc.), external spatial environment (such as indoors, outdoors, space size, etc.), and user feedback (such as class likes, class Experience, course click-through rate, course collection rate, etc.). The adaptive recommendation module determines the fitness course most suitable for the user based on the above-mentioned multiple data.

Optionally, after the adaptive recommendation module pushes the fitness course to the user, it can collect course completion assessments (such as course completion ratio, course completion time, etc.), so that the course completion status can also be adopted in subsequent course pushes Evaluate.

It can be seen that the intelligent push system for fitness courses provided by this application can comprehensively consider a variety of information that affects the fitness process. This information also reflects the user's current status, including their physical, psychological, fitness needs, fitness preferences, and fitness. Environment, etc., that is, combining this information can get a portrait of the user's current situation. The more the combined information, the closer the portrait is to the user, and the closer the portrait is to the user, the more suitable the fitness course pushed for this portrait is for the user.

The intelligent push system for fitness courses provided in this application may include a server and a terminal device, and the above-mentioned adaptive recommendation module may be implemented by the server, or may be implemented jointly by the server and the terminal device.

FIG. 2 shows an exemplary schematic diagram of the smart push system for fitness courses provided by the present application. The framework of the smart push system shown in FIG. 1 can be deployed on the system shown in FIG. 2. As shown in Figure 2, the system includes a server, terminal equipment and one or more data acquisition devices. The server and terminal equipment can transmit data through a communication network. The terminal equipment and one or more data acquisition devices, a server and one Or multiple data collection devices can also transmit data through a communication network.

The one or more data collection devices may include wearable devices, such as watches, glasses, earphones, etc., wireless devices in smart homes, such as body fat scales, sphygmomanometers, etc., and camera devices, such as monitoring probes. , Video cameras, cameras, etc., wireless devices in remote medical (remote medical), such as disease information collection modules, medical cards, etc. Among them, the wearable device collects the user's heart rate signal, fingertip pulse wave signal, etc., the body fat scale collects the user's weight, height, etc., the camera device collects the external space environment, the sphygmomanometer collects the user's blood pressure, and the disease information collection module is connected to the medical treatment. The health institution system obtains the user's health information. It should be noted that the data collection device may also include other equipment, which is not specifically limited in this application.

The terminal equipment can also be called user equipment (UE), which can be deployed on land, including indoor or outdoor, handheld or vehicle-mounted; it can also be deployed on the water (such as ships, etc.); it can also be deployed in the air ( For example, airplanes, balloons, satellites, etc.). Terminal devices can be mobile phones, tablets, smart TVs, stereos, glasses, watches, car machines, headsets, virtual reality (VR) devices, augmented reality (AR) devices It can also be wireless devices in mobile office, smart home, sports health, audio-visual entertainment, and smart travel, which are not limited in this application. In this application, the aforementioned terminal equipment and the chips that can be installed in the aforementioned terminal equipment are collectively referred to as terminal equipment.

It should be noted that the above-mentioned one or more data collection devices can be used in conjunction with a terminal device. The terminal device is used to receive multiple data sent by one or more data collection devices, and use the fitness course push method provided in this application (below It will be introduced in detail) to process the data to get the fitness course most suitable for the user and push it to the user.

Optionally, the above-mentioned one or more data collection apparatuses and terminal devices may be independent devices, or the above-mentioned one or more data collection apparatuses and terminal devices may be integrated as functional modules in one device, which is not discussed in this embodiment of the application. limited.

In a possible implementation manner, the above-mentioned one or more data collection devices and terminal devices are independent devices. The terminal device can receive multiple items of data sent by the data collection device through a communication network, and then combine multiple items of data through the communication network. The data is reported to the server, and the server determines the fitness course most suitable for the user based on multiple data, and the server pushes the fitness course to the user's terminal device.

In a possible implementation manner, the one or more data collection devices and terminal equipment are independent devices, and the server can directly receive multiple data sent by the data collection device through the communication network, and then determine the most suitable data based on the multiple data. For the user’s fitness course, the server pushes the fitness course to the user’s terminal device.

In a possible implementation manner, the above-mentioned one or more data collection devices and terminal equipment are independent devices, and the terminal equipment can receive multiple pieces of data sent by the data collection device through a communication network, and the terminal equipment can receive multiple pieces of data according to the multiple pieces of data. Determine the fitness course most suitable for the user, and the terminal device will display the fitness course to the user through the display screen, touch screen, etc.

In a possible implementation, one or more of the above-mentioned data collection devices and terminal devices are integrated as functional modules in one device. The device collects multiple data and determines the fitness course most suitable for the user based on the multiple data. Fitness courses are displayed to users through display screens, touch screens, etc.

In a possible implementation, the one or more data collection devices and terminal devices mentioned above are integrated into one device as functional modules. The device collects multiple data, and then reports multiple data to the server through the communication network. The fitness course that is most suitable for the user is determined based on a number of data, and the server pushes the fitness course to the user's device.

It should be noted that the above-mentioned communication network may be a local area network, or a wide area network switched through a relay (relay) device, or include a local area network and a wide area network. When the communication network is a local area network, for example, the communication network may be a short-distance communication network such as a wifi hotspot network, a wifi P2P network, a Bluetooth network, a zigbee network, or a near field communication (NFC) network. When the communication network is a wide area network, for example, the communication network may be a 3rd-generation wireless telephone technology (3G) network, or the 4th generation mobile communication technology (4G). ) Network, 5th-generation mobile communication technology (5G) network, public land mobile network (PLMN) that will evolve in the future, or the Internet, etc., which are not limited in the embodiments of the present application.

Exemplarily, the server in FIG. 2 may adopt the structure shown in FIG. 3. FIG. 3 is an exemplary structural block diagram of the server 300 provided by this application. As shown in FIG. 3, the server 300 includes an antenna 301, a radio frequency device 302, and a baseband device 303. The antenna 301 is connected to the radio frequency device 302. In the uplink direction, the radio frequency device 302 receives the signal from the terminal device through the antenna 301, and sends the received signal to the baseband device 303 for processing. In the downlink direction, the baseband device 303 generates a signal that needs to be sent to the terminal device, and sends the generated signal to the radio frequency device 302. The radio frequency device 302 transmits the signal through the antenna 301.

The baseband device 303 may include one or more processing units 3031. The processing unit 3031 may specifically be a processor.

In addition, the baseband device 303 may further include one or more storage units 3032 and one or more communication interfaces 3033. The storage unit 3032 is used to store computer programs and/or data. The communication interface 3033 is used to exchange information with the radio frequency device 302. The storage unit 3032 may specifically be a memory, and the communication interface 3033 may be an input/output interface or a transceiver circuit.

Optionally, the storage unit 3032 may be a storage unit on the same chip as the processing unit 3031, that is, an on-chip storage unit, or a storage unit on a different chip from the processing unit 3031, that is, an off-chip storage unit. This application does not limit this.

Exemplarily, the terminal device in FIG. 2 may adopt the structure shown in FIG. 4. FIG. 4 shows a schematic diagram of the structure of the terminal device 400.

The terminal device 400 may include a processor 410, an external memory interface 420, an internal memory 421, a universal serial bus (USB) interface 430, a charging management module 440, a power management module 441, a battery 442, antenna 1, antenna 2 , Mobile communication module 450, wireless communication module 460, audio module 470, speaker 470A, receiver 470B, microphone 470C, earphone jack 470D, sensor module 480, buttons 490, motor 491, indicator 492, camera 493, display 494, and Subscriber identification module (subscriber identification module, SIM) card interface 495, etc. The sensor module 480 can include pressure sensor 480A, gyroscope sensor 480B, air pressure sensor 480C, magnetic sensor 480D, acceleration sensor 480E, distance sensor 480F, proximity light sensor 480G, fingerprint sensor 480H, temperature sensor 480J, touch sensor 480K, ambient light Sensor 480L, bone conduction sensor 480M, etc.

It is understandable that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on the terminal device 400. In other embodiments of the present application, the terminal device 400 may include more or less components than shown in the figure, or combine certain components, or split certain components, or arrange different components. The illustrated components can be implemented in hardware, software, or a combination of software and hardware.

The processor 410 may include one or more processing units. For example, the processor 410 may include an application processor (AP), a modem processor, a graphics processing unit (GPU), and an image signal processor. (image signal processor, ISP), controller, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU), etc. Among them, the different processing units may be independent devices or integrated in one or more processors.

The controller can generate operation control signals according to the instruction operation code and timing signals to complete the control of fetching instructions and executing instructions.

A memory may also be provided in the processor 410 for storing instructions and data. In some embodiments, the memory in the processor 410 is a cache memory. The memory can store instructions or data that have just been used or recycled by the processor 410. If the processor 410 needs to use the instruction or data again, it can be directly called from the memory. Repeated accesses are avoided, the waiting time of the processor 410 is reduced, and the efficiency of the system is improved.

In some embodiments, the processor 410 may include one or more interfaces. The interface may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, a pulse code modulation (pulse code modulation, PCM) interface, and a universal asynchronous transmitter/receiver (universal asynchronous) interface. receiver/transmitter, UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (GPIO) interface, subscriber identity module (SIM) interface, and / Or Universal Serial Bus (USB) interface, etc.

The terminal device 400 can implement a shooting function through an ISP, a camera 493, a video codec, a GPU, a display screen 494, and an application processor.

The ISP is used to process the data fed back from the camera 493. For example, when taking a picture, the shutter is opened, the light is transmitted to the photosensitive element of the camera through the lens, the light signal is converted into an electrical signal, and the photosensitive element of the camera transmits the electrical signal to the ISP for processing and is converted into an image visible to the naked eye. ISP can also optimize the image noise, brightness, and skin color. ISP can also optimize the exposure, color temperature and other parameters of the shooting scene. In some embodiments, the ISP may be provided in the camera 493.

The camera 493 is used to capture still images or videos. The object generates an optical image through the lens and is projected to the photosensitive element. The photosensitive element may be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The photosensitive element converts the optical signal into an electrical signal, and then transfers the electrical signal to the ISP to convert it into a digital image signal. ISP outputs digital image signals to DSP for processing. DSP converts digital image signals into standard RGB, YUV and other formats of image signals. In some embodiments, the terminal device 400 may include 1 or N cameras 493, and N is a positive integer greater than 1.

Digital signal processors are used to process digital signals. In addition to digital image signals, they can also process other digital signals. For example, when the terminal device 400 selects the frequency point, the digital signal processor is used to perform Fourier transform on the energy of the frequency point.

Video codecs are used to compress or decompress digital video. The terminal device 400 may support one or more video codecs. In this way, the terminal device 400 can play or record videos in multiple encoding formats, such as: moving picture experts group (MPEG) 1, MPEG2, MPEG3, MPEG4, and so on.

NPU is a neural-network (NN) computing processor. By drawing on the structure of biological neural networks, for example, the transfer mode between human brain neurons, it can quickly process input information, and it can also continuously self-learn. Through the NPU, applications such as intelligent cognition of the terminal device 400 can be realized, such as image recognition, face recognition, voice recognition, text understanding, and so on.

The external memory interface 420 may be used to connect an external memory card, such as a Micro SD card, so as to expand the storage capacity of the terminal device 400. The external memory card communicates with the processor 410 through the external memory interface 420 to realize the data storage function. For example, save music, video and other files in an external memory card.

The internal memory 421 may be used to store computer executable program code, where the executable program code includes instructions. The internal memory 421 may include a program storage area and a data storage area. Among them, the storage program area can store an operating system, an application program (such as a sound playback function, an image playback function, etc.) required by at least one function, and the like. The data storage area can store data (such as audio data, phone book, etc.) created during the use of the terminal device 400. In addition, the internal memory 421 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, a universal flash storage (UFS), and the like. The processor 410 executes various functional applications and data processing of the terminal device 400 by running instructions stored in the internal memory 421 and/or instructions stored in a memory provided in the processor.

The terminal device 400 can implement audio functions through an audio module 470, a speaker 470A, a receiver 470B, a microphone 470C, a headphone interface 470D, and an application processor. For example, music playback, recording, etc.

The audio module 470 is used to convert digital audio information into an analog audio signal for output, and is also used to convert an analog audio input into a digital audio signal. The audio module 470 can also be used to encode and decode audio signals. In some embodiments, the audio module 470 may be disposed in the processor 410, or part of the functional modules of the audio module 470 may be disposed in the processor 410.

The speaker 470A, also called "speaker", is used to convert audio electrical signals into sound signals. The terminal device 400 can listen to music through the speaker 470A, or listen to a hands-free call.

The pressure sensor 480A is used to sense the pressure signal and can convert the pressure signal into an electrical signal. In some embodiments, the pressure sensor 480A may be provided on the display screen 494. There are many types of pressure sensors 480A, such as resistive pressure sensors, inductive pressure sensors, capacitive pressure sensors and so on. The capacitive pressure sensor may include at least two parallel plates with conductive materials. When a force is applied to the pressure sensor 480A, the capacitance between the electrodes changes. The terminal device 400 determines the strength of the pressure according to the change in capacitance. When a touch operation acts on the display screen 494, the terminal device 400 detects the intensity of the touch operation according to the pressure sensor 480A. The terminal device 400 may also calculate the touched position based on the detection signal of the pressure sensor 480A. In some embodiments, touch operations that act on the same touch position but have different touch operation strengths may correspond to different operation instructions. For example: when a touch operation whose intensity of the touch operation is less than the first pressure threshold is applied to the short message application icon, an instruction to view the short message is executed. When a touch operation with a touch operation intensity greater than or equal to the first pressure threshold acts on the short message application icon, an instruction to create a new short message is executed.

The gyro sensor 480B may be used to determine the motion posture of the terminal device 400. In some embodiments, the angular velocity of the terminal device 400 around three axes (ie, x, y, and z axes) can be determined by the gyro sensor 480B. The gyro sensor 480B can be used for image stabilization. Exemplarily, when the shutter is pressed, the gyroscope sensor 480B detects the shake angle of the terminal device 400, calculates the distance that the lens module needs to compensate according to the angle, and allows the lens to counteract the shake of the terminal device 400 through reverse movement to achieve anti-shake. The gyro sensor 480B can also be used for navigation and somatosensory game scenes.

The air pressure sensor 480C is used to measure air pressure. In some embodiments, the terminal device 400 calculates the altitude based on the air pressure value measured by the air pressure sensor 480C, and assists positioning and navigation.

The magnetic sensor 480D includes a Hall sensor. The terminal device 400 may use the magnetic sensor 480D to detect the opening and closing of the flip holster. In some embodiments, when the terminal device 400 is a flip machine, the terminal device 400 can detect the opening and closing of the flip according to the magnetic sensor 480D. Furthermore, according to the detected opening and closing state of the leather case or the opening and closing state of the flip cover, features such as automatic unlocking of the flip cover are set.

The acceleration sensor 480E can detect the magnitude of the acceleration of the terminal device 400 in various directions (generally three axes). When the terminal device 400 is stationary, the magnitude and direction of gravity can be detected. It can also be used to identify the posture of the terminal device, applied to applications such as horizontal and vertical screen switching, pedometer and so on.

Distance sensor 480F, used to measure distance. The terminal device 400 can measure the distance by infrared or laser. In some embodiments, when shooting a scene, the terminal device 400 may use the distance sensor 480F to measure the distance to achieve fast focusing.

The proximity light sensor 480G may include, for example, a light emitting diode (LED) and a light detector, such as a photodiode. The light emitting diode may be an infrared light emitting diode. The terminal device 400 emits infrared light to the outside through the light emitting diode. The terminal device 400 uses a photodiode to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the terminal device 400. When insufficient reflected light is detected, the terminal device 400 can determine that there is no object near the terminal device 400. The terminal device 400 can use the proximity light sensor 480G to detect that the user holds the terminal device 400 close to the ear to talk, so as to automatically turn off the screen to save power. Proximity light sensor 480G can also be used in leather case mode, pocket mode automatically unlocks and locks the screen.

The ambient light sensor 480L is used to sense the brightness of the ambient light. The terminal device 400 may adaptively adjust the brightness of the display screen 494 according to the perceived brightness of the ambient light. The ambient light sensor 480L can also be used to automatically adjust the white balance when taking pictures. The ambient light sensor 480L can also cooperate with the proximity light sensor 480G to detect whether the terminal device 400 is in a pocket to prevent accidental touch.

The fingerprint sensor 480H is used to collect fingerprints. The terminal device 400 can use the collected fingerprint characteristics to realize fingerprint unlocking, access application locks, fingerprint photographs, fingerprint answering calls, and so on.

The temperature sensor 480J is used to detect temperature. In some embodiments, the terminal device 400 uses the temperature detected by the temperature sensor 480J to execute a temperature processing strategy. For example, when the temperature reported by the temperature sensor 480J exceeds the threshold, the terminal device 400 performs a reduction in the performance of the processor located near the temperature sensor 480J, so as to reduce power consumption and implement thermal protection. In other embodiments, when the temperature is lower than another threshold, the terminal device 400 heats the battery 442 to avoid abnormal shutdown of the terminal device 400 due to low temperature. In some other embodiments, when the temperature is lower than another threshold, the terminal device 400 boosts the output voltage of the battery 442 to avoid abnormal shutdown caused by low temperature.

Touch sensor 480K, also called "touch device". The touch sensor 480K may be arranged on the display screen 494, and the touch screen is composed of the touch sensor 480K and the display screen 494, which is also called a “touch screen”. The touch sensor 480K is used to detect touch operations acting on or near it. The touch sensor can pass the detected touch operation to the application processor to determine the type of touch event. The visual output related to the touch operation can be provided through the display screen 494. In other embodiments, the touch sensor 480K may also be disposed on the surface of the terminal device 400, which is different from the position of the display screen 494.

The bone conduction sensor 480M can acquire vibration signals. In some embodiments, the bone conduction sensor 480M can acquire the vibration signal of the vibrating bone mass of the human voice. The bone conduction sensor 480M can also contact the human pulse and receive blood pressure beating signals. In some embodiments, the bone conduction sensor 480M may also be provided in the earphone, combined with the bone conduction earphone. The audio module 470 can parse the voice signal based on the vibration signal of the vibrating bone block of the voice obtained by the bone conduction sensor 480M, and realize the voice function. The application processor may analyze the heart rate information based on the blood pressure beating signal obtained by the bone conduction sensor 480M, and realize the heart rate detection function.

Those skilled in the art can understand that the terminal device 400 may include fewer or more components than those shown in FIG. 4, and the terminal device shown in FIG. 4 only includes components that are more relevant to the multiple implementations disclosed in this application. .

Based on the above-mentioned intelligent push system for fitness courses, this application provides a method for pushing fitness courses to solve the problem that the fitness courses pushed by related technologies are relatively programmatic and cannot fully meet the individual needs of users.

FIG. 5 is a flowchart of an embodiment of a method for pushing a fitness course according to this application. As shown in FIG. 5, the process 500 may be applied to the system shown in FIG. 2, and the execution subject may be a server or a terminal device. The process 500 is described as a series of steps or operations. It should be understood that the process 500 may be executed in various orders and/or occur simultaneously, and is not limited to the execution order shown in FIG. 5. The fitness course push methods for this application include:

Step 501: During the initial construction of an intelligent push system for fitness courses, users are divided into several types according to expert knowledge, physical parameters, exercise ability, fitness purpose, etc., and a fitness course recommendation model is developed for each type.

Experts refer to professionals who specialize in sports, fitness, sports training, and sports data analysis, such as fitness coaches, sports coaches, athletes, and sports coaches. These professionals have accumulated a wealth of experience in their long-term work and can use their experience to provide people who need fitness advice that is more suitable for the person, including the duration of fitness, the content of fitness, and the intensity of fitness.

Expert knowledge is fitness advice given by the above-mentioned experts based on professional knowledge and experience.

Physical parameters can include gender, height, weight, age, etc. According to universal experience, physical parameters can reflect the physical conditions of similar people. For example, the strength and endurance of women are usually less than those of men; sports that young people can accept The intensity is usually higher than the exercise intensity acceptable to the elderly; the flexibility of thin and short people is usually higher than that of tall and heavy people. It should be noted that the physical parameters may include fewer or more parameters than the above-mentioned parameters, which are not specifically limited in this application.

Athletic ability refers to the maximum degree of exercise that a user can complete the course during fitness, which can be expressed by the user's physical tolerance, such as joint flexibility (reflecting the user's flexibility), lower limb strength (reflecting the degree of lower limb exercise that the user can withstand) ), core strength (reflecting the degree of abdominal exercise that the user can withstand), upper limb strength (reflecting the degree of upper limb exercise that the user can withstand), physical fitness (reflecting the length and period of exercise that the user can withstand), etc.

Fitness purpose refers to the user's purpose for fitness. The content of fitness for different purposes can have special targeted training. For example, for the purpose of reducing fat, more fitness courses with aerobic exercise as the main part and anaerobic part as the supplement can be recommended; For the purpose of shaping, more local anaerobic training fitness courses can be recommended; for the purpose of muscle gain, more strength training fitness courses can be recommended; and so on.

Based on the above parameters, the server or terminal device can divide users into multiple categories, and formulate fitness courses for each type. The fitness courses can include one or more training items, or one or more training plans. For example, for young women whose goal is to reduce fat, if they are exercising for the first time, they can start from shallow to deep, and first recommend a one-week low-intensity fitness course, including 30-second plank support, 10 open-close jumps, 4 poppy jumps, etc. Then increase the intensity one week after another, such as lengthening the plank duration, increasing the number of open-close jumps, and poppy jumps; if you have long-term fitness, you can recommend corresponding fitness courses according to the user's athletic ability.

The server or terminal device can also combine the user's wearable device to obtain user related information, including the user's daily exercise volume, sleep duration, sleep quality curve, heart rate, and so on. For example, the user’s daily exercise volume is less than 3000 steps, the exercise mileage is less than one kilometer, the sleep duration is more than 10 hours and usually enters light sleep after 12 o’clock in the evening, indicating that the user lacks exercise and prefers to sleep late Therefore, for the user, we can recommend a one-week aerobic exercise based on running, and then add some anaerobic exercises week by week. The length of running can be gradually increased according to the heart rate feedback from the wearable device. For another example, the user’s daily exercise volume is more than 100,000 steps and the exercise mileage is more than 10 kilometers, indicating that the user may have the habit of running. Then, for the user, we can recommend some courses to relax the muscles, stretch and stretch, such as yoga, Pilates Wait.

The server or terminal device can also obtain the user's historical exercise information recorded locally, for example, which fitness courses have been taken, the class records of each fitness course, and the frequency of the fitness courses. For example, if the user has a large amount of aerobic exercises every day, then for the user, he can periodically add some smaller exercises between exercises classes, which mainly relax the muscles. For another example, the user's fitness courses are mainly yoga classes, and some targeted yoga courses can be periodically recommended to the user, such as abdominal exercise courses, tired stretching courses, Pilates, and so on.

The server or terminal device establishes an initial fitness course recommendation model based on the corresponding relationship between the above-mentioned user types and fitness courses. Each user type can correspond to one or more fitness courses, and each fitness course can be applied to one or more User type, this application does not specifically limit this.

If the above operation of formulating a fitness course recommendation model is performed by the server, the server can send the fitness course recommendation model to the terminal device with fitness application programs, and the terminal device will perform the operation of selecting the fitness course most suitable for the current user; the server can also Only the fitness course recommendation model is stored locally, and the terminal device installed with fitness applications obtains the relevant information of the current user and sends it to the server. The server will match the fitness course recommendation model in the fitness course recommendation model according to the relevant information of the current user. Fitness courses for the current user.

If the above operation of formulating a fitness course recommendation model is performed by a terminal device, after the terminal device is installed with a fitness application, the initial fitness course recommendation model can be generated according to the data package of the application; or directly from the data package of the application Read the initial fitness course recommendation model.

The fitness course recommendation model can be obtained through a neural network. The neural network can be created in advance based on historical data, customer feedback, etc. The input of the neural network can be the above-mentioned body parameters, fitness goals, exercise capacity, etc., and the output can be a matching fitness course.

Step 502: When the current user uses the fitness application for the first time, obtain the current user's physical parameters, fitness goals, exercise experience, etc., classify the current user, and then push the fitness course to the current user.

The terminal device can obtain the above-mentioned data through questionnaires. For example, Figure 6 shows an exemplary schematic diagram of a questionnaire. As shown in Figure 6, when the current user uses a fitness application for the first time, the terminal device displays a questionnaire on the touch screen after the current user registers an account. Questions of the questionnaire can include: height, gender, age, fitness years, fitness purpose, etc., please answer the current user. The current user fills in the questionnaire by clicking, dragging, and entering characters.

It should be noted that the terminal device can display the above questionnaire on the display screen, and the user can fill in the questionnaire by operating the remote control, mobile phone and other external devices. This application does not specifically limit the input method.

Through the above questionnaire, the terminal device can obtain the basic parameters of the current user who uses the fitness application, including height, gender, age, fitness years, fitness purpose, etc. The fitness course that is most suitable for the user determined in step 502 is mainly based on the above-mentioned basic parameters of the current user.

The terminal device can also obtain the above-mentioned data through a wearable device (for example, a watch, glasses, earphone, etc.). For example, Figure 7 shows an exemplary schematic diagram incorporating a wearable device. As shown in Figure 7, the terminal device can establish a wireless connection with the wearable device and read relevant data on the wearable device, including the user’s daily exercise volume. , Sleep duration, sleep quality curve, heart rate, etc. For example, if the user's daily exercise volume is less than 3000 steps, the exercise mileage is less than one kilometer, the sleep duration is more than 10 hours, and usually enters light sleep after 12 o'clock in the evening, for this user, aerobic exercise based on running can be recommended. Coupled with some anaerobic exercises, the length of running can be gradually lengthened according to the heart rate feedback from the wearable device. For another example, if the user's daily exercise volume is more than 100,000 steps and the exercise mileage exceeds 10 kilometers, some courses for relaxing muscles, stretching and stretching, such as yoga, Pilates, etc., can be recommended for the user. For another example, the user’s sleep duration is less than 8 hours, and the time for deep sleep is less. For the user, some yoga courses that help sleep can be recommended.

If it is determined that the operation of the fitness course is performed by the server, the terminal device needs to report the basic parameters of the current user to the server through the communication network. The server determines the fitness course most suitable for the current user according to the basic parameters of the current user, and then selects the most suitable fitness course for the current user. The fitness course is pushed to the terminal device of the current user.

If it is determined that the operation of the fitness course is performed by the terminal device, the terminal device determines the fitness course most suitable for the current user according to the basic parameters of the current user, and then displays the fitness course most suitable for the current user on the touch screen.

Figures 8a and 8b show exemplary schematic diagrams of the fitness course push interface on the mobile phone and TV, respectively. As shown in Figures 8a and 8b, multiple fitness courses are displayed on the screen of the terminal device or the TV. The current user sees these fitness courses. After the course, you can click on the title of the fitness course you want to take, and click to select it. After receiving the instruction generated by the current user's click operation, the terminal device enters the display interface of the selected fitness course.

Optionally, in order to facilitate the current user to understand the content of the recommended fitness course, in addition to displaying the names of multiple fitness courses on the touch screen, the terminal device can also display the introduction of the fitness course under each fitness course, including course content, Course length, exercise area, etc. As shown in Figures 9a and 9b.

Enter the display interface of the fitness course, you can show the content of the fitness course to the current user in the form of video. Figures 10a and 10b show exemplary images of fitness courses on mobile phones and TVs, respectively. As shown in Figures 10a and 10b, the fitness courses are demonstrated by real people and are videos of fitness exercises performed by the coach. The current user follows the rhythm and movements of the coach Complete the fitness course. The display interface of the fitness course can also display the content of the fitness course to the current user in the way of action decomposition. In addition, in the lower right corner of the screen, a window is also set up to display the current user’s fitness screen, that is, the current user’s fitness video is captured by the camera, and the captured video is sent to the mobile phone or TV in real time, and the video can be viewed While the current user is exercising, it is displayed on the screen at the same time, so that the user can learn the movements demonstrated by the real person in the fitness course, and at the same time determine whether the movements are standard by watching the pictures of their own movements. Figures 11a and 11b show exemplary images of fitness courses on mobile phones and TVs, respectively. As shown in Figures 11a and 11b, the fitness courses are disassembled and demonstrated by actions, which are images of each action performed by the coach. A diagram of each action is made, and the number, duration, and specification requirements of each action are introduced through text. The current user completes the illustrated action according to the text introduction. The fitness course can also be displayed in other ways, which is not specifically limited in this application.

Step 503: During the fitness process of the current user, collect the fitness picture of the current user through the camera device, analyze the completion degree of the current user's movement through the fitness picture, and then judge the exercise ability of the current user, and recommend to the current user based on the exercise ability of the current user The current user’s fitness courses are adjusted.

The fitness course pushed to the current user in step 502 is determined by the basic parameters of the current user, and does not involve the current user's exercise ability. It may happen that some current users with poor exercise ability cannot afford the recommended fitness course, or it may There will be some current users with better athletic ability that the recommended fitness courses are not challenging. Therefore, in the current user's fitness process, this application adjusts the fitness course based on the current user's athletic ability. As for the current user’s exercise ability, the current user may not be able to draw accurate conclusions. Therefore, in this application, the server or terminal device collects the current user’s fitness screen through a camera, and uses image processing technology to identify the current fitness screen presented. The user's actions. Analyze the degree of completion of the current user's actions based on the standard specifications of each action. For example, the standard action requires that the angle between the thigh and the calf after the knee bend is 90°, while the current user's action shows that the angle between the thigh and the calf is 120° , Indicating that the current user’s knee may have hidden problems and cannot bend freely; the standard action requires the current user to bend over to touch the toes with both hands, while the current user’s motion shows that his hands cannot touch the feet at all, indicating that the current user is more flexible Poor; the standard action requires the current user to complete 30 opening and closing jumps, and the current user is exhausted when jumping to 20, indicating that the current user's physical fitness is poor; and so on.

The fitness course that is most suitable for the user determined in step 503 is mainly based on the above-mentioned basic parameters of the current user, combined with the exercise ability of the current user. The server or the terminal device can adjust the course based on the fitness course determined in step 502 in combination with the current user's athletic ability, so that the current user can strengthen the areas where training is insufficient and avoid actions that may cause injuries. For example, if the current user's joint flexibility is not enough, we can recommend more fitness courses that exercise joint flexibility from weak to strong; if the current user's flexibility is poor, we can recommend more from weak to strong Fitness classes for flexibility; etc.

If it is determined that the steps of the fitness course are executed by the server, the terminal device needs to report the current user’s exercise capacity or the current user’s fitness screen to the server via the communication network, or the camera device directly sends the current user’s fitness screen to the server via the communication network. The server determines the fitness course most suitable for the current user according to the current user's basic parameters and athletic ability, and then pushes the fitness course most suitable for the current user to the terminal device of the current user.

If it is determined that the steps of the fitness course are executed by the terminal device, the terminal device directly shoots the current user's fitness screen through the camera, or the camera device sends the current user's fitness screen to the terminal device through the communication network, and the terminal device determines according to the current user's fitness screen According to the current user's athletic ability, the fitness course most suitable for the current user is determined according to the basic parameters and athletic ability of the current user, and then the fitness course most suitable for the current user is displayed on the touch screen.

The terminal device can be the next time the current user logs in to the fitness application, or when the current user uses the fitness application to exercise (for example, just finished a fitness course, or did not open the fitness course, and is browsing the fitness courses provided by the application) List, etc.), the fitness course that is most suitable for the current user determined in step 503 is displayed on the touch screen. For the push interface of the fitness course, please refer to Figures 8a and 8b, which will not be repeated here.

Step 504: After the current user has finished exercising, obtain the current user's feedback on the fitness course, and determine the current user's satisfaction with the pushed fitness course based on the feedback.

The terminal device can obtain the current user’s feedback on the fitness course by liking, forwarding, sharing, filling in the questionnaire, etc., that is, the terminal device displays the feedback interface on the touch screen after a fitness course is over, and the current user is requested to follow this fitness course The experience of determining whether to like, repost or share it, usually the current user will like it if they are satisfied with the fitness course, or they will want to repost and share it with others if they are satisfied, so if the current user likes, The operation of forwarding or sharing can be considered that the current user is satisfied with this fitness course. The feedback of current users that can be obtained by the questionnaire is more detailed, including the current user’s satisfaction with the fitness course, whether they are willing to share it with others, and whether there is room for improvement. Figure 12 shows an exemplary schematic diagram of the current user feedback interface. As shown in Figure 12, the terminal device displays the feedback interface on the touch screen after a fitness course is over. The interface includes three satisfaction options: I like it very much. , Like and Normal, the current user clicks on the corresponding control to make a selection.

Optionally, the terminal device can also determine the current user’s preference for fitness courses according to the current user’s selection of fitness courses. As mentioned above, the terminal device displays the pushed fitness courses on the touch screen, and the current user selects the courses he wants to take. Usually the current user is interested in the course to choose, so the above course selection operation of the current user can also be used as a basis for obtaining the current user's preferences.

Step 505: If the current user is highly satisfied with the fitness course, record the relevant information of the current user and the fitness course pushed to him, and update the fitness course recommendation model accordingly, so as to directly recommend fitness courses to other similar current users .

Satisfaction can be expressed as a percentage. Higher satisfaction can mean that the percentage of satisfaction is higher than the set threshold, and lower satisfaction can mean that the percentage of satisfaction is lower than the set threshold. Satisfaction can be expressed by very satisfied, satisfied, average, Four levels of dissatisfaction indicate that very satisfied and satisfied indicate higher satisfaction, and general and dissatisfied indicate lower satisfaction. Satisfaction can also be expressed in other ways, which is not specifically limited in this application.

If, through the

above steps

502 or 503, a fitness course that satisfies the current user is recommended to a current user, and the current user’s basic parameters, athletic ability, and/or preference requirements are not in the corresponding user type. Fitness courses that users are satisfied with, so the server or terminal device can update the existing fitness course recommendation model, increase the current user’s basic parameters, athletic ability and/or preference requirements, etc., and increase the user’s basic parameters and athletic ability And/or the corresponding relationship between preference needs, etc. and the aforementioned fitness course that satisfies the current user. In this way, the fitness course recommendation model can be gradually expanded, and the included information that affects the fitness process becomes more and more diverse and rich, and thus can be adapted to more and more user types.

A large number of users use fitness applications. Among them, there are always some users who have the same or similar basic parameters, exercise ability and/or preference requirements. Each user, server or terminal device can recommend the same fitness course. In this way, the server or terminal device does not need to perform all the above steps for each user. If the fitness course recommendation model already has fitness courses suitable for the same or similar users with basic parameters, exercise capacity and/or preference requirements, the server or terminal device You can obtain the fitness course directly according to the fitness course recommendation model and push it to the current user.

Step 506: If the current user's satisfaction with the fitness course is low, push other fitness courses similar to the current user to the current user.

If the current user’s feedback clearly indicates that the satisfaction with the pushed fitness course is low, the fitness course pushed to the current user must be replaced. The server or the terminal device can find other users who are the same or similar to the current user's basic parameters, athletic ability, and/or preference requirements from the fitness course recommendation model, and obtain the fitness course corresponding to the other user and push it to the current user.

Optionally, there are no other users who are the same or similar to the current user’s basic parameters, exercise capabilities, and/or preference requirements in the fitness course recommendation model, and the server or terminal device performs the

above steps

502 or 503 to obtain the most suitable fitness for the current user. course.

In this application, the fitness course that is most suitable for the user is determined according to the user's basic parameters, athletic ability, and/or preference requirements, so that the pushed fitness course is more in line with the user's individual needs.

In a possible implementation, in step 502, when the current user uses the fitness application for the first time, in addition to asking the current user to fill in the questionnaire, the terminal device can also perform a set of user evaluation processing procedures, that is, the terminal device is on the display screen or The touch screen prompts the user to perform a set of prescribed actions, and then evaluates the user's athletic ability based on the results of the prescribed actions. Image evaluation can also be used, such as asking the user to perform a set of actions, and then the user fills in a questionnaire based on the results of the completed actions, and evaluates the user's athletic ability based on the content of the questionnaire. The user can also be asked to wear a wearable device during the action, and the user's exercise ability can be evaluated by the wearable device. The above-mentioned evaluation process can adopt the functional movement screen (FMS) method, which consists of 7 movements, which can be used for the basic movement ability (for example, flexibility, stability, strength, and/or endurance) of various groups of people. Power, etc.) evaluation. The Y balance test method can also be used. This application does not specifically limit the evaluation method.

Optionally, the terminal device can play videos, and professional coaches will demonstrate the prescribed actions and explain the standard specifications, or the terminal device can play the fixed pictures of the standardized actions and explain the standard specifications of the corresponding actions in words.

Optionally, the terminal device turns on the camera while the current user is performing a standardized action, records the user's actions through the camera, and then analyzes the captured video to determine the degree of completion of the user's actions, thereby obtaining the user's athletic ability.

Optionally, the terminal device may allow the user to fill in a questionnaire, which requires the user to fill in the results of completing a prescribed action. For example, the longest duration of the plank, the maximum number of opening and closing jumps, etc. The terminal device obtains the user's athletic ability according to the results filled in by the user.

Due to the addition of exercise ability evaluation, when the current user uses fitness apps for the first time and determines the fitness course that is most suitable for the user, the server or terminal device can add the user’s exercise ability evaluation results in addition to the user’s basic parameters to make the push The fitness courses are more in line with the individual needs of users.

In a possible implementation, the server or terminal device can register the account of the fitness application through the user, and associate it with other devices, such as the wearable device in Figure 2, and the wireless device in the smart home (such as body fat scale, Sphygmomanometers, etc.), wireless devices in remote medical (such as disease information collection modules, medical cards, etc.), etc., through these devices to obtain the current user’s health status (such as disease records, psychological stress, etc.), sleep quality ( For example, the time to fall asleep, the length of deep sleep, etc.). When recommending the current user’s fitness class, the above-mentioned health status (such as disease records, psychological stress, etc.), sleep quality (such as time to fall asleep, length of deep sleep, etc.), etc. can be further combined .

Optionally, the server or terminal device associates a wearable heart rate device with an account to obtain the current user's real-time heart rate changes during and after exercise, and evaluate the user's physical fitness based on the heart rate changes, including the current user's maximum heart rate, reserve heart rate, and heart rate Responding speed, etc., adjust the fitness courses recommended to the current user according to the results of the physical fitness assessment. Optionally, the server or terminal device can also determine the exercise effect of the action on the user based on the user’s heart rate change during exercise. For example, if the user’s heart rate rises slowly during aerobic exercise, it means that the action has a poor exercise effect on the user. And adjust the fitness course recommended to the current user according to the exercise effect.

Optionally, the server or terminal device associates multiple devices through accounts, including wireless devices in telemedicine (file system of medical structure hospitals, current user's medical account), wireless devices in smart homes (body fat scales, weight scales) , Blood pressure monitors, etc.), bracelets, etc., to obtain the current user’s medical records, physical examination reports, sleep records, etc., and determine the fitness courses recommended to the current user based on these records. Exemplarily, Table 1 shows an exemplary recommendation model for fitness courses.

Table 1

It should be noted that, as an example, Table 1 provides some recommended methods for fitness courses, but this application is not limited to the course push methods in Table 1, which is not specifically limited.

Optionally, the user may log in to different devices with different accounts or information, and the server or terminal device cannot associate with other devices based on the account. In this application, the server or terminal device can also be combined with other information. As mentioned above, the more information and the user portrait obtained by the more information, the closer to the user himself. Therefore, the server can integrate the user information reported by a large number of devices and perform processing on it. Analyze and determine which devices are the same users who log in based on the strong correlation between the information, and then associate these devices.

In a possible implementation, the server or terminal device uses a camera to take pictures of the current user during exercise, or take pictures of the space around the user during exercise. These pictures include not only the current user, but also the environment where the current user is located. Or the terminal device recognizes objects such as walls and obstacles in the screen through algorithms such as line segment detector (LSD) and target detection (single shot multibox detector, SSD), and estimates the space size of the environment where the current user is located. When the server or terminal device determines the recommended fitness course, it can also combine the space size of the environment where the current user is located. If it is found that this fitness action cannot be completed in the current environment, select a fitness course with similar functions and meeting space requirements Instead, avoid the situation where fitness classes cannot be carried out due to space constraints.

In a possible implementation, the server stores the user’s relevant information and recommended fitness courses. When logging in to a fitness application with an unusually-used device, for example, the user changes the terminal device, as long as the user logs in with the account at the time of registration, that is The fitness courses recommended to the user can be obtained from the server side, and there is no need to fill in the questionnaire again, determine the recommended fitness courses, etc., and improve the push efficiency.

In a possible implementation, after determining the fitness course most suitable for the user, or after receiving the user’s feedback on the fitness course, the server or terminal device can respond to the fitness course according to the determined fitness course or the user’s feedback. It is recommended that the model be updated. The creation and update of the fitness course recommendation model in this application can be achieved through machine learning, deep learning, reinforcement learning, etc. The input includes the user's physical parameters, fitness goals, exercise capacity, health status, sleep quality, and user's response to fitness courses. One or more of the feedbacks, the output of which is a fitness course recommendation model constructed based on the foregoing information.

It should be noted that the multiple data used in this application to determine the fitness course most suitable for the current user may include one or more of the following information: physical parameters (such as height, weight, age, gender, etc.), fitness purpose (such as Fat loss, shaping, muscle gain, etc.), athletic ability (such as joint flexibility, lower limb strength, core strength, upper limb strength, physical fitness, etc.), health status (such as disease records, psychological stress, etc.), sleep quality (such as time to fall asleep , Deep sleep duration, etc.), external space environment (such as indoor, outdoor, space size, etc.), and user feedback (such as course likes, class experience, course click-through rate, course collection rate, etc.).

The physical parameters and fitness purpose in this information are basic parameters that cannot be omitted, and they are the recommended basis for fitness courses when the current user uses the fitness application for the first time. Other information is optional information, that is, the server or terminal device can determine the fitness course most suitable for the current user based on one or more of the basic parameters. Generally speaking, the more information that is combined, the closer the portrait will be to the user, and the closer the portrait is to the user, the more suitable the fitness course pushed for this portrait will be for the user.

Further, this application does not limit the order, importance, and weight of other information other than the basic parameters, nor does it specifically limit the quantity of other information.

In the implementation process, the steps of the foregoing method embodiments may be completed by hardware integrated logic circuits in the processor or instructions in the form of software. The processor can be a general-purpose processor, digital signal processor (digital signal processor, DSP), application-specific integrated circuit (ASIC), field programmable gate array (field programmable gate array, FPGA) or other Programming logic devices, discrete gates or transistor logic devices, discrete hardware components. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly embodied as being executed and completed by a hardware encoding processor, or executed and completed by a combination of hardware and software modules in the encoding processor. The software module can be located in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

The memory mentioned in the above embodiments may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. Among them, the non-volatile memory can be read-only memory (ROM), programmable read-only memory (programmable ROM, PROM), erasable programmable read-only memory (erasable PROM, EPROM), and electrically available Erase programmable read-only memory (electrically EPROM, EEPROM) or flash memory. The volatile memory may be random access memory (RAM), which is used as an external cache. By way of exemplary but not restrictive description, many forms of RAM are available, such as static random access memory (static RAM, SRAM), dynamic random access memory (dynamic RAM, DRAM), and synchronous dynamic random access memory (synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous connection dynamic random access memory (synchlink DRAM, SLDRAM) ) And direct memory bus random access memory (direct rambus RAM, DR RAM). It should be noted that the memories of the systems and methods described herein are intended to include, but are not limited to, these and any other suitable types of memories.

A person of ordinary skill in the art may realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed system, device, and method can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or It can be integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

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

If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present application essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (personal computer, server, or network device, etc.) execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), magnetic disks or optical disks and other media that can store program codes. .

The above are only specific implementations of this application, but the protection scope of this application is not limited to this. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application. Should be covered within the scope of protection of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

A method for pushing fitness courses, which is characterized in that it includes:

Acquiring physical state information of the current user, where the physical state information comes from one or more devices in a wearable device, a smart home, or a medical platform;

Determining a fitness course suitable for the current user according to the physical state information;

Push the fitness course applicable to the current user.
The method according to claim 1, wherein the physical state information includes one or more of body fat rate, average daily activity level, sleep time, stress index, cardiopulmonary data, medical records, and physical examination reports , Wherein the body fat rate comes from the smart home, the daily average activity level, the sleep time, and the cardiopulmonary data come from the wearable device, the stress index, the medical record, and the physical examination The report comes from the medical platform.
The method according to claim 1 or 2, wherein the physical state information further includes: personal information and/or fitness purpose of the current user, and the personal information includes age, gender, height, weight, and work. One or more pieces of information in the category, the personal information and the fitness purpose come from a questionnaire of the current user or an application or device associated with the personal account of the current user.
The method according to any one of claims 1 to 3, wherein the physical state information further comprises: the current user's athletic ability, and the athletic ability includes joint flexibility, limb strength, core strength, and One or more pieces of information about physical fitness, and the exercise capacity comes from a fitness video shot by the wearable device or a camera device in the fitness environment of the current user.
The method according to any one of claims 1-4, further comprising:

Acquiring feedback information of the current user, where the feedback information includes one or more of course click-through rate, like record, course favorite record, and class experience record;

The determining a fitness course suitable for the current user according to the physical state information includes:

The fitness course suitable for the current user is determined according to the body state information and the feedback information of the current user.
The method according to claim 5, further comprising:

Determining the size of the space of the current user's fitness environment through the fitness video shot by the camera device in the current user's fitness environment;

The determining a fitness course suitable for the current user according to the physical state information includes:

The fitness course suitable for the current user is determined according to the body state information, the feedback information of the current user and/or the size of the fitness environment of the current user.
The method according to any one of claims 1 to 6, characterized in that, before the acquiring physical state information of the current user, the method further comprises:

Associate one or more devices according to the personal account of the current user, the one or more devices including one or more of the wearable device, the smart home, the medical platform, and the camera ;and / or,

One or more applications are associated with the personal account of the current user.
The method according to any one of claims 1-7, wherein the determining a fitness course suitable for the current user according to the physical state information comprises:

According to the body state information, a fitness course recommendation model created in advance is used to determine a fitness course suitable for the current user.
The method according to claim 8, further comprising:

Create the fitness course recommendation based on one or more of expert knowledge, the physical state information of the historical user, the feedback information of the historical user, the size of the fitness environment of the historical user, and the historical fitness course push record Model.
The method according to any one of claims 1-9, wherein after the pushing the fitness course applicable to the current user, the method further comprises:

Determine whether the pushed fitness course is suitable for the current user;

If the pushed fitness course is not suitable for the current user, a new fitness course suitable for the current user is determined.
A terminal device, characterized by comprising: a processor and a memory;

The memory is used to store programs;

When the program is executed by the processor, the processor is used to obtain the current user's body state information, the body state information coming from one or more devices in a wearable device, a smart home, or a medical platform; Determine the fitness course suitable for the current user according to the physical state information; push the fitness course suitable for the current user.
The terminal device according to claim 11, wherein the body state information includes one or more of body fat rate, average daily activity level, sleep time, stress index, cardiopulmonary data, medical records, and physical examination reports Information, wherein the body fat rate comes from the smart home, the average daily activity level, the sleep time, and the cardiopulmonary data come from the wearable device, the stress index, the medical record, and the The medical report comes from the medical platform.
The terminal device according to claim 11 or 12, wherein the physical state information further includes: personal information and/or fitness purpose of the current user, and the personal information includes age, gender, height, weight, and One or more pieces of information in the work category, the personal information and the fitness purpose come from a questionnaire of the current user or an application or device associated with the personal account of the current user.
The terminal device according to any one of claims 11-13, wherein the physical state information further comprises: the current user's athletic ability, and the athletic ability includes joint flexibility, limb strength, and core strength. And one or more pieces of information in physical fitness, and the exercise capacity comes from a fitness video shot by the wearable device or a camera device in the fitness environment of the current user.
The terminal device according to any one of claims 11-14, wherein the processor is further configured to obtain feedback information of the current user, and the feedback information includes course click-through rate, like record, One or more information in the course collection record and the lesson experience record; and the fitness course suitable for the current user is determined according to the physical state information and the feedback information of the current user.
The terminal device according to claim 15, wherein the processor is further configured to determine the size of the current user's fitness environment through a fitness video shot by a camera device in the current user's fitness environment; The fitness course suitable for the current user is determined according to the body state information, the feedback information of the current user and/or the size of the fitness environment of the current user.
The terminal device according to any one of claims 11-16, wherein the processor is further configured to associate one or more devices according to the personal account of the current user, and the one or more devices It includes one or more of the wearable device, the smart home, the medical platform, and the camera device; and/or one or more applications are associated with the personal account of the current user.
The terminal device according to any one of claims 11-17, wherein the processor is specifically configured to determine a fitness course recommendation model that is suitable for the current user according to the body state information. Fitness courses.
The terminal device according to claim 18, wherein the processor is further configured to use expert knowledge, the physical state information of the historical user, the feedback information of the historical user, and the fitness environment of the historical user The size of the space and one or more pieces of information in the historical fitness course push records create the fitness course recommendation model.
The terminal device according to any one of claims 11-19, wherein the processor is further configured to determine whether the pushed fitness course is suitable for the current user; if the pushed fitness course is not If it is suitable for the current user, a new fitness course suitable for the current user is determined.
A computer-readable storage medium, characterized by comprising a computer program, which when executed on a computer, causes the computer to execute the method according to any one of claims 1-10.
A computer program, characterized in that, when the computer program is executed by a computer, it is used to execute the method according to any one of claims 1-10.