Action guiding method and system, electronic equipment and storage medium

Abstract

The invention relates to the technical field of intelligent wearable equipment, in particular to an action guiding method and system, electronic equipment and a storage medium, and the action guiding method comprises the steps: determining an action intention of a target part of a user based on a current action of a first part of the user; a wearable device worn by the user is controlled to send action guiding information; wherein the action guiding information is used for guiding the target part of the user to execute the action corresponding to the action intention. The purpose of improving and preventing the Parkinson's gait freezing disease can be achieved through the action guiding information, meanwhile, the cost of manual guidance and manual nursing is reduced and the guiding efficiency is improved in the scene without accompanying of coaches, therapists or nursing personnel, and real-time monitoring and immediate feedback of user action details are achieved.

Description

Background Art

[0002] With the rapid development of smart wearable device technology, traditional sports training or rehabilitation training often relies on on-site guidance from coaches, therapists or caregivers. This method is not only costly and inefficient, but also difficult to achieve real-time monitoring and instant feedback of user movement details. For example, patients with gait freezing syndrome find it difficult to walk on their own and cannot break away from the need and dependence on caregivers. Existing motion guidance methods lack the function of real-time guidance and feedback on user movements in scenarios where there is no coach, therapist or caregiver accompanying them.

[0003] Therefore, it is urgent to provide a technical solution to solve the above problems. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides an action guidance method, system, electronic device and storage medium.

[0005] In a first aspect, the present invention provides an action guidance method, and the technical solution of the method is as follows:

[0006] Determining the action intention of the target part of the user based on the current action of the first part of the user;

[0007] Control the wearable device worn by the user to issue action guidance information; wherein the action guidance information is used to guide the target part of the user to perform the action corresponding to the action intention.

[0008] The beneficial effects of an action guidance method of the present invention are as follows:

[0009] The method of the present invention can achieve the purpose of improving and preventing Parkinson's freezing of gait through motion guidance information, while reducing the cost of manual guidance and manual care and improving guidance efficiency in scenarios without the presence of coaches, therapists or caregivers, and realizing real-time monitoring and instant feedback of user movement details.

[0010] On the basis of the above solution, an action guiding method of the present invention can also be improved as follows.

[0011] In an optional manner, the action guidance method further includes: receiving motion sensor data of a first part of the user collected by the wearable device, and determining the current action based on the motion sensor data.

[0012] In the above optional methods, by collecting and analyzing the user's motion sensor data in real time, the user's current motion state can be understood more accurately, and the user's motion intention can be inferred more accurately. This method enhances the intelligence of the system, improves the accuracy and real-time performance of motion recognition, and provides a solid data foundation for subsequent precise motion guidance.

[0013] In an optional manner, the wearable device includes: a first wearable device worn on the first part and a second wearable device worn on the target part; the motion sensing data includes: first motion sensing data of the first part collected by the first wearable device, and second motion sensing data of the target part collected by the second wearable device.

[0014] In the above optional methods, the multi-part data collection strategy further refines the understanding of user actions. By comparing and analyzing the motion data of different parts, the user's action pattern can be captured more comprehensively, especially when there are complex coordination relationships between the actions of different parts. This design helps the system generate action guidance that better meets the actual needs of users, improving the pertinence and effectiveness of the guidance.

[0015] In an optional manner, the action guidance information includes: at least one of sound guidance information, vibration guidance information, and visible light guidance information.

[0016] In the above optional methods, the diverse forms of guidance information can not only meet the enhanced guidance effect brought by multiple guidance information, but also meet the preferences and needs of different users. For example, sound guidance is suitable for use in hearing-accessible environments, vibration guidance is suitable for occasions that require quietness or when the user is hearing-impaired, and visible light guidance can directly indicate the direction or position of the action within the line of sight. This flexibility ensures the applicability and effectiveness of the action guidance method in different scenarios and conditions, and improves the user experience.

[0017] In a second aspect, the present invention provides an action guidance system, the technical solution of the system is as follows:

[0018] The action guidance system comprises: an identification module and a guidance module;

[0019] The recognition module is used to: determine the action intention of the target part of the user based on the current action of the first part of the user;

[0020] The guidance module is used to: control the wearable device worn by the user to issue action guidance information; wherein the action guidance information is used to guide the target part of the user to perform the action corresponding to the action intention.

[0021] The beneficial effects of an action guidance system of the present invention are as follows:

[0022] The system of the present invention can achieve the purpose of improving and preventing Parkinson's freezing of gait through motion guidance information, while reducing the cost of manual guidance and manual care and improving guidance efficiency in scenarios without the presence of coaches, therapists or caregivers, and realizing real-time monitoring and instant feedback of user movement details.

[0023] Based on the above solution, the action guidance system of the present invention can also be improved as follows.

[0024] In an optional manner, the identification module is specifically used to: receive motion sensor data of a first part of the user collected by the wearable device, and determine the current action based on the motion sensor data.

[0025] In the above optional method, by collecting and analyzing the user's motion sensor data in real time, the system can more accurately understand the user's current motion state, and then more accurately infer the user's motion intention. This method enhances the intelligence of the system, improves the accuracy and real-time performance of motion recognition, and provides a solid data foundation for subsequent precise motion guidance.

[0026] In an optional manner, the wearable device includes: a first wearable device worn on the first part and a second wearable device worn on the target part; the motion sensing data includes: first motion sensing data of the first part collected by the first wearable device, and second motion sensing data of the target part collected by the second wearable device.

[0027] In the above optional methods, the multi-part data collection strategy further refines the understanding of the user's actions. By comparing and analyzing the motion data of different parts, the system can more comprehensively capture the user's action patterns, especially when there are complex coordination relationships between the actions of different parts. This design helps the system generate action guidance that better meets the actual needs of users, improving the pertinence and effectiveness of the guidance.

[0028] In an optional manner, the action guidance information includes: at least one of sound guidance information, vibration guidance information, and visible light guidance information.

[0029] In the above optional methods, the diverse forms of guidance information can meet the preferences and needs of different users. For example, sound guidance is suitable for use in environments with no hearing barriers, vibration guidance is suitable for use in occasions where silence is required or when the user is hearing-impaired, and visible light guidance can directly indicate the direction or position of the action within the line of sight. This flexibility ensures the applicability and effectiveness of the action guidance method in different scenarios and conditions, and improves the user experience.

[0030] In a third aspect, a technical solution of an electronic device of the present invention is as follows:

[0031] The invention comprises a memory, a processor and a program stored in the memory and running on the processor. When the processor executes the program, the steps of the action guiding method of the present invention are implemented.

[0032] In a fourth aspect, the present invention provides a computer-readable storage medium having the following technical solution:

[0033] Instructions are stored in the computer-readable storage medium. When the computer-readable storage medium reads the instructions, the computer-readable storage medium executes the steps of the action guiding method of the present invention.

[0034] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present invention. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings. In the accompanying drawings:

[0036] Figure 1 A schematic diagram of a flow chart of an embodiment of an action guiding method of the present invention;

[0037] Figure 2 It is the Bluetooth connection topology diagram between wearable devices;

[0038] Figure 3 It is the data transmission topology diagram between wearable devices;

[0039] Figure 4 A schematic diagram of the structure of an embodiment of an action guidance system of the present invention;

[0040] Figure 5 The figure is a schematic structural diagram of an embodiment of an electronic device of the present invention. DETAILED DESCRIPTION

[0041] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0042] Figure 1 FIG. 1 is a flow chart showing an embodiment of an action guidance method provided by the present invention. The method is executed by a controller. Figure 1 As shown, the following steps are included:

[0043] S1. Based on the current action of the first part of the user, determine the action intention of the target part of the user. In S1:

[0044] ① The first part refers to the specific part of the user's body used to trigger or start the action intention detection. This part is usually monitored by wearable devices. For example, the user's wrist, ankle, knee, etc. can all be the "first part", depending on the application scenario and user needs. The first part serves as the starting point or trigger point of the action intention, and its movement state or change is used to infer the user's subsequent action intention.

[0045] ② The current action refers to the specific action or motion state that the user is currently performing on the first part. This action is determined by the data captured and quantified by the sensors on the wearable device. The current action serves as the basic data for analyzing the user's action intention and is used for subsequent target part action prediction and guidance.

[0046] ③The target part refers to the part of the user's body that needs to be guided to perform a specific action. This part may be the same as the first part or different from the first part. For example, if the first part is the wrist, the target part may be the wrist, knee, ankle, or other part of the arm, depending on the type of action the user wants to perform. The target part is the final goal of the action guidance, and the wearable device will send guidance information to this part to assist the user in completing the desired action.

[0047] ④ Action intention is the action or movement pattern that the user wants to perform on the target part, predicted by the action intention recognition algorithm based on the current action of the first part. Action intention is a reflection of the user's potential needs or expectations. Action intention serves as a bridge between the current action and the action guidance information, guiding the system to generate appropriate guidance information.

[0048] Specifically, the controller determines the user's movement intention of the target part based on the user's current movement of the first part.

[0049] S2, controlling the wearable device worn by the user to send out action guidance information; wherein the action guidance information is used to guide the target part of the user to perform the action corresponding to the action intention. In S2:

[0050] Action guidance information is a variety of feedback information sent by wearable devices to guide users to correctly perform actions on target parts. This information can be in the form of sound, vibration, visible light, etc., depending on the function of the device and user preference. Action guidance information provides real-time feedback to users to help them adjust and optimize the actions on target parts to achieve the desired exercise effect or training goals.

[0051] Specifically, the controller controls the wearable device worn by the user to send out action guidance information, thereby guiding the target part of the user to perform the action corresponding to the action intention.

[0052] It should be noted that the controller can be integrated into the inside of the wearable device worn by the user, or installed on the outside of the wearable device, and there is no limitation here.

[0053] The technical solution of this embodiment can achieve the purpose of improving and preventing Parkinson's freezing of gait through motion guidance information, while reducing the cost of manual guidance and manual care and improving guidance efficiency in scenarios without the presence of coaches, therapists or caregivers, and realizing real-time monitoring and instant feedback of user movement details.

[0054] In an optional manner, the action guidance method further includes:

[0055] Receive motion sensor data of a first part of a user collected by a wearable device, and determine a current action based on the motion sensor data.

[0056] Each wearable device is integrated with a motion sensor. The default is a 9-axis motion sensor, which can also be selected according to actual conditions. There is no restriction here. The motion sensor is used to collect motion sensing data of the corresponding parts. For example, the user's wearable devices include: wrist guards, knee pads and insoles, and the devices are connected wirelessly (the default is Bluetooth connection pairing). Figure 2 As shown, the controller is integrated into the left wristband, and the left wristband synchronously establishes 5 low-power Bluetooth connections with the right wristband, left and right kneepads, and left and right insoles. None of the six devices, including the wristband, kneepad, and insole, have power switches. When the device has power, the left wristband automatically establishes and maintains Bluetooth connections with the other 5 devices. The left wristband has 6 power indicator lights. When any device is out of power, the corresponding indicator light turns red, prompting the user to charge the device. During use, the user induces the left wristband to recognize the user's walking intention and drive the system to run according to the process through regular left and right hand swinging movements. The left wristband dynamically collects 9-axis motion sensor data from the right wristband, left and right kneepads, and left and right insoles through Bluetooth connection. The algorithm running on the processor combines the 9-axis sensor data from the 6 devices to recognize the user's action intention in real time and determine the current action.

[0057] Specifically, the controller can more accurately understand the user's current motion state and more accurately infer the user's motion intention by further collecting and analyzing the user's motion sensor data in real time. This method enhances the intelligence of the system, improves the accuracy and real-time performance of motion recognition, and provides a solid data foundation for subsequent precise motion guidance.

[0058] In an optional manner, the wearable device includes: a first wearable device worn on a first part and a second wearable device worn on a target part; the motion sensing data includes: first motion sensing data of the first part collected by the first wearable device, and second motion sensing data of the target part collected by the second wearable device.

[0059] The wristband consists of an outer layer material and a rigid structure. The outer layer of the wristband is made of wear-resistant and stretch-resistant material to provide adequate protection and durability. The material is soft and breathable to ensure comfort when wearing. The inner layer material is in direct contact with the wrist skin, so the material is required to be skin-friendly, soft, comfortable and not prone to allergies. The wristband contains a plastic rigid structure for installing electronic components. The processor, mono speaker, 9-axis motion sensor (Note: 3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer. Same below.), low-power Bluetooth communication chip, power management circuit and rechargeable lithium-ion battery and other electronic components are installed in the rigid structure. The rigid structure has a set of sound outlet holes that facilitate the propagation of sound. The rigid structure has exposed charging contacts for attracting the magnetic charging cable. The outer material of the wristband exposes the above charging contacts.

[0060] The wristbands are divided into left and right models, and the corresponding left or right model is set in the embedded software before leaving the factory. The processor embedded in the left wristband is responsible for controlling the operation of the entire distributed system, including left wristband sensor signal processing and data collection, collecting sensor data from another 5 distributed devices through multi-channel Bluetooth connection, multi-channel low-power Bluetooth connection management, walking intention recognition algorithm based on left and right hand sensor data, establishment and distribution of sound guidance information, vibration guidance information and visible light guidance information, auditory signal broadcasting, power management, etc. The processor embedded in the right wristband is only responsible for right wristband sensor signal processing and data collection, sending right wristband sensor data to the left wristband through Bluetooth connection, voice broadcasting based on the left wristband sound guidance information, power management, etc.

[0061] The kneepad consists of an outer layer of material and a rigid structure. The outer layer of the kneepad is made of wear-resistant and stretch-resistant material to provide adequate protection and durability. The material is soft and breathable to ensure comfort when wearing. The inner layer of the material is in direct contact with the skin or tied to the outside of the trouser leg, so the material is required to be soft, comfortable and not prone to allergies. The inside of the kneepad contains a plastic rigid structure for installing electronic components. Electronic components such as processors, visible light emitting components, micro vibration motors, 9-axis motion sensors, low-power Bluetooth communication chips, power management circuits and rechargeable lithium-ion batteries are installed in the rigid structure. The rigid structure has a perspective window for emitting visible light outward and irradiating the ground in front of the foot. The rigid structure has exposed charging contacts for attracting the magnetic charging cable. The outer layer of the kneepad exposes the above-mentioned perspective window and charging contacts.

[0062] The kneepad is equipped with an elastic band or strap to fix the kneepad on the knee. The elastic band or strap can be adjusted according to personal needs to ensure the fit and stability of the kneepad. The kneepad is divided into two models, left and right, and the corresponding left or right model is set by the embedded software before leaving the factory. The embedded processor is responsible for sensor signal processing and data acquisition, sending sensor data to the left wristband via Bluetooth connection, emitting visible light to the ground and turning on the micro motor to perform vibration according to the visible light guidance information and vibration guidance information of the left wristband, power management, etc.

[0063] The insole consists of an outer layer of material and a flexible electronic component. The insole is made of wear-resistant, flexible, skin-friendly, breathable, and elastic material to provide adequate perspiration and durability. The front area of ​​the insole near the big toe is equipped with a flexible electronic component, which includes a processor, two micro vibration motors, a 9-axis motion sensor, a pressure sensor, a temperature sensor, a low-power Bluetooth communication chip, a power management circuit, and a rechargeable lithium-ion battery. The flexible electronic component is waterproof and suitable for bending and compression during walking.

[0064] The insole knee guard is divided into two models, left and right, and the corresponding left or right model is set in the embedded software before leaving the factory. The embedded processor is responsible for sensor signal processing and data acquisition, sending sensor data to the left wrist guard via Bluetooth connection, activating two micro motors for the big toe tip and big toe metatarsophalangeal joint according to the vibration guidance information sent by the left wrist guard, and power management.

[0065] Specifically, the controller further refines its understanding of the user's movements through a multi-part data collection strategy. By comparing and analyzing the motion data of different parts, it can more comprehensively capture the user's movement patterns, especially when there are complex coordination relationships between the movements of different parts. This design helps the system generate action guidance that better meets the actual needs of users, improving the pertinence and effectiveness of the guidance.

[0066] In an optional manner, the action guidance information includes: at least one of sound guidance information, vibration guidance information, and visible light guidance information.

[0067] like Figure 3 As shown, in this embodiment, the algorithm running on the processor combines the 9-axis sensor data from 6 devices to identify the user's walking intention in real time, and sends the sound guidance information to the left and right wrist guards, the visible light guidance information to the left and right knee guards, the vibration guidance information to the left and right knee guards, and the vibration guidance information to the left and right insoles. The system achieves the purpose of action guidance through the hearing, vision, calf vibration, big toe tip vibration, and big toe metatarsophalangeal joint vibration distributed in the above 6 wearable devices.

[0068] Specifically, the controller further meets the preferences and needs of different users through a variety of guidance information forms. For example, sound guidance is suitable for use in hearing-impaired environments, vibration guidance is suitable for occasions that require silence or when the user is hearing-impaired, and visible light guidance can directly indicate the direction or position of the action within the line of sight. This flexibility ensures the applicability and effectiveness of the action guidance method in different scenarios and conditions, and improves the user experience.

[0069] It should be noted that the technical solution of this embodiment can be applied to improve Parkinson's freezing of gait, specifically:

[0070] Based on the current movement of the first part of the patient with Parkinson's freezing of gait, the movement intention of the target part of the patient with Parkinson's freezing of gait is determined.

[0071] Control the wearable device worn by the Parkinson's freezing of gait patient to send out motion guidance information; wherein the motion guidance information is used to guide the target part of the Parkinson's freezing of gait patient to perform the action corresponding to the action intention.

[0072] For example, the wearable devices for patients with Parkinson's freezing of gait include: left wrist guard, right wrist guard, left knee guard, right knee guard, left insole and right insole.

[0073] When the first part is: the left hand and the right hand, after the left and right hands swing back and forth regularly several times in a simulated walking rhythm, the current action is: the left hand is in front and the right hand is behind. The recognized action intention is: the left leg moves forward, and the target part is the left leg. At this time, the left wrist guard, the right knee guard, the left knee guard, and the left insole are controlled to send action guidance information. The action guidance information can be at least one of sound guidance information, vibration guidance information, and visible light guidance information. For example, when the left wristband is a wearable device with a controller and the action intention is recognized as the left leg moving forward, the monophonic speaker of the left wristband sends out a voice guidance message, specifically: "Move your left leg forward" prompt tone; the left wristband sends visible light guidance information to the right kneepad via Bluetooth connection, and the right kneepad immediately irradiates the ground in front of the left foot with horizontal lines of visible light after receiving the visible light guidance information; the left wristband sends vibration guidance information to the left kneepad via Bluetooth connection, and the left kneepad immediately starts the micro vibration motor after receiving the vibration guidance information; the left wristband sends vibration guidance information to the left insole via Bluetooth connection, and the left insole immediately starts two micro motors to stimulate the tip of the big toe and the metatarsophalangeal joint of the big toe respectively after receiving the vibration guidance information. In this way, action guidance information is sent through multiple wearable devices to guide Parkinson's patients with freezing of gait to complete the response action.

[0074] The technical solution of this embodiment can also be applied to the learning of standard dance movements, specifically:

[0075] Based on the current movement of the first part of the dance student, the movement intention of the target part of the dance student is determined.

[0076] Control the wearable device worn by the dance student to send out action guidance information; wherein the action guidance information is used to guide the target part of the dance student to perform the action corresponding to the action intention.

[0077] For example, the wearable equipment for dance learners includes: a left wrist guard, a right wrist guard, a left knee guard, a right knee guard, a left insole and a right insole.

[0078] When the first part is the left hand, the current action is to raise the left hand upward. The recognized action intention is to take a step to the right with the right foot and turn around at the same time. Then the target part is the right foot. At this time, the left wrist guard (as a wearable device with a controller), the right knee guard, and the right insole are controlled to send action guidance information. The action guidance information can be at least one of sound guidance information, vibration guidance information, and visible light guidance information. For example, when the left wristband, as a wearable device with a controller, recognizes that the action intention is to take a step to the right with the right foot and turn around at the same time, the monophonic speaker of the left wristband sends out a sound guidance message, specifically: "Take a step to the right with the right foot and turn around" prompt tone; the left wristband sends visible light guidance information to the right kneepad via Bluetooth connection, and the right kneepad immediately irradiates the ground on the right side of the right foot with semicircular or fan-shaped visible light; the left wristband sends specific vibration guidance information to the right insole via Bluetooth connection, and the right insole immediately starts two micro motors after receiving the vibration guidance information, simulating the tiny movements of the big toe tip and the metatarsophalangeal joint of the big toe, respectively, to help dance learners feel the precise position and strength of the foot landing, and to help dance learners feel the rhythm of turning. In this way, action guidance information is sent through multiple wearable devices to achieve the purpose of guiding dance students to learn standard dance movements.

[0079] Figure 4 FIG. 2 is a schematic diagram showing a structure of an embodiment of an action guidance system 200 provided by the present invention. Figure 4 As shown, the system 200 includes: an identification module 210 and a guidance module 220 .

[0080] The recognition module 210 is used to determine the movement intention of the target part of the user based on the current movement of the first part of the user.

[0081] The guidance module 220 is used to: control the wearable device worn by the user to send action guidance information; wherein the action guidance information is used to guide the target part of the user to perform the action corresponding to the action intention.

[0082] In an optional manner, the recognition module is specifically used to: receive motion sensing data of a first part of the user collected by the wearable device, and determine a current action based on the motion sensing data.

[0083] In an optional manner, the wearable device includes:

[0084] A first wearable device is worn on a first part and a second wearable device is worn on a target part; the motion sensing data includes: first motion sensing data of the first part collected by the first wearable device, and second motion sensing data of the target part collected by the second wearable device.

[0085] In an optional manner, the action guidance information includes: at least one of sound guidance information, vibration guidance information, and visible light guidance information.

[0086] The technical solution of this embodiment can achieve the purpose of improving and preventing Parkinson's freezing of gait through motion guidance information, while reducing the cost of manual guidance and manual care and improving guidance efficiency in scenarios without the presence of coaches, therapists or caregivers, and realizing real-time monitoring and instant feedback of user movement details.

[0087] The above parameters and steps for each module to implement corresponding functions in the action guidance system 200 of this embodiment can refer to the parameters and steps in the above embodiment of the action guidance method, which will not be described in detail here.

[0088] like Figure 5 As shown, an electronic device 300 according to an embodiment of the present invention includes a processor 320, the processor 320 is coupled to a memory 310, and the memory 310 stores at least one computer program 330, and the at least one computer program 330 is loaded and executed by the processor 320, so that the electronic device 300 implements any of the above-mentioned action guidance methods, specifically:

[0089] The electronic device 300 may have relatively large differences due to different configurations or performances, and may include one or more processors 320 (Central Processing Units, CPU) and one or more memories 310, wherein the one or more memories 310 store at least one computer program 330, and the at least one computer program 330 is loaded and executed by the one or more processors 320, so that the electronic device 300 implements any one of the action guidance methods provided in the above embodiments. Of course, the electronic device 300 may also have components such as a wired or wireless network interface, a keyboard, and an input and output interface for input and output, and the electronic device 300 may also include other components for implementing device functions, which will not be repeated here.

[0090] A computer-readable storage medium according to an embodiment of the present invention stores at least one computer program, and the at least one computer program is loaded and executed by a processor so that a computer implements any one of the above-mentioned action guiding methods.

[0091] Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0092] In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device performs any of the above-mentioned action guidance methods.

[0093] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects and represent the definition of a specific order or sequence. The order of use of similar objects can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than the order shown or described.

[0094] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

[0095] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0096] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An action guiding method, characterized in that: include: Determining the action intention of the target part of the user based on the current action of the first part of the user; Control the wearable device worn by the user to issue action guidance information; wherein the action guidance information is used to guide the target part of the user to perform the action corresponding to the action intention.

2. The action guiding method according to claim 1, characterized in that: Also includes: Receive motion sensor data of a first part of the user collected by the wearable device, and determine the current action according to the motion sensor data.

3. The action guiding method according to claim 2, characterized in that: The wearable device includes: a first wearable device worn on the first part and a second wearable device worn on the target part; the motion sensing data includes: first motion sensing data of the first part collected by the first wearable device, and second motion sensing data of the target part collected by the second wearable device.

4. The action guiding method according to claim 1, characterized in that: The action guidance information includes at least one of sound guidance information, vibration guidance information, and visible light guidance information.

5. An action guidance system, characterized in that: include: Identification module and guidance module; The recognition module is used to: determine the action intention of the target part of the user based on the current action of the first part of the user; The guidance module is used to: control the wearable device worn by the user to issue action guidance information; wherein the action guidance information is used to guide the target part of the user to perform the action corresponding to the action intention.

6. The action guidance system according to claim 5, characterized in that: The identification module is specifically used for: Receive motion sensor data of a first part of the user collected by the wearable device, and determine the current action according to the motion sensor data.

7. The action guidance system according to claim 6, characterized in that: The wearable device comprises: a first wearable device worn on the first part and a second wearable device worn on the target part; the motion sensing data includes: first motion sensing data of the first part collected by the first wearable device, and second motion sensing data of the target part collected by the second wearable device.

8. The motion guidance system according to claim 5, characterized in that: The action guidance information includes at least one of sound guidance information, vibration guidance information, and visible light guidance information.

9. An electronic device, characterized in that: The electronic device includes a processor, the processor is coupled to a memory, the memory stores at least one computer program, and the at least one computer program is loaded and executed by the processor so that the electronic device implements an action guidance method as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one computer program, and the at least one computer program is loaded and executed by a processor so that the computer-readable storage medium implements an action guiding method as described in any one of claims 1 to 4.

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