Old people sarcopenia movement and nutrition animation teaching platform

Abstract

The invention belongs to the technical field of exercise and nutrition teaching, and provides an old people sarcopenia exercise and nutrition animation teaching platform, which comprises an animation teaching module for making exercise and nutrition teaching animations by adopting a three-dimensional animation technology; the personalized scheme generation module is used for generating personalized exercise and nutrition schemes according to the individual information of the old people; the interactive communication module provides an interactive communication function between the old people and the platform; the data monitoring and feedback module is integrated with a wearable equipment data interface; through the platform, the old people can obtain detailed, visual and personalized exercise and nutrition teaching guidance, the understandability and acceptability of teaching are greatly improved, meanwhile, a dynamic adjustment scheme can be fed back according to real-time data of the old people, accurate intervention and guidance are achieved, and the risk and harm of sarcopenia are effectively reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of sports and nutrition teaching, and specifically relates to an animation teaching platform for sarcopenia in the elderly for exercise and nutrition. Background Art

[0002] With the aggravation of population aging, the problem of sarcopenia in the elderly has become increasingly prominent. Sarcopenia is a disease characterized by reduced skeletal muscle mass, decreased muscle strength, and impaired muscle function, which seriously affects the self-care ability and health status of the elderly. At present, the intervention measures for sarcopenia in the elderly mainly include exercise training and nutritional supplementation. However, the existing sports and nutrition teaching materials are mostly in the form of text and pictures, which are difficult for the elderly with limited education or poor eyesight to understand; ordinary videos lack interactivity and it is difficult to provide targeted guidance according to the individual conditions of the elderly.

[0003] Therefore, those skilled in the art have proposed an animation teaching platform for sarcopenia in the elderly for exercise and nutrition to solve the problems raised in the background art. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides an animation teaching platform for sarcopenia in the elderly for exercise and nutrition to solve the problems in the prior art that most of the sports and nutrition teaching materials are in the form of text and pictures, which are difficult for the elderly with limited education or poor eyesight to understand; ordinary videos lack interactivity and it is difficult to provide targeted guidance according to the individual conditions of the elderly, etc.

[0005] An animation teaching platform for sarcopenia in the elderly for exercise and nutrition includes:

[0006] An animation teaching module that uses three-dimensional animation technology to produce sports and nutrition teaching animations, and details the correct postures, breathing methods, and precautions of sports movements, as well as the intake and food sources of nutritional requirements;

[0007] A personalized plan generation module that generates personalized sports and nutrition plans according to the individual information of the elderly;

[0008] An interactive communication module that provides an interactive communication function between the elderly and the platform, including voice and text questions, as well as online community sharing;

[0009] A data monitoring and feedback module that integrates a data interface for wearable devices, real-time monitors the sports data and physiological indicators of the elderly, and automatically adjusts the sports and nutrition plans according to the monitored data.

[0010] Preferably, the sports animations in the animation teaching module include muscle exercise movements suitable for the elderly such as resistance training and aerobic exercise.

[0011] Preferably, in the animation teaching module, a pose estimation model is introduced to automatically recognize the movement actions of the elderly and give corrective suggestions, which helps to improve the accuracy and safety of the elderly's movement actions.

[0012] Preferably, the personalized plan generation module generates personalized exercise and nutrition plans by comprehensively considering the age, gender, physical condition and degree of sarcopenia of the elderly through intelligent algorithms.

[0013] Preferably, the data monitoring and feedback module can monitor physiological indicators such as the number of steps, heart rate, and blood pressure of the elderly, and provide feedback information to the elderly according to the monitoring data.

[0014] Preferably, in the data monitoring and feedback module, a data fusion algorithm is introduced to integrate data from different wearable devices, improving the accuracy and reliability of the data;

[0015] At the same time, a reinforcement learning algorithm is introduced to dynamically adjust the exercise and nutrition plans according to the real-time feedback and behavior data of the elderly, realizing a more intelligent feedback mechanism.

[0016] A processor is configured to execute the elderly sarcopenia exercise and nutrition animation teaching platform according to the above.

[0017] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the above-mentioned elderly sarcopenia exercise and nutrition animation teaching platform.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] 1. By using 3D animation technology to produce exercise and nutrition teaching animations, the present invention can display in detail and intuitively the correct postures, breathing methods and precautions of movement actions, as well as the intake amount and food sources of nutritional needs; this animation form is more understandable to the elderly compared to traditional written and pictorial materials, especially for those elderly with limited education or poor eyesight, greatly improving the understandability and acceptability of teaching.

[0020] 2. Through the personalized plan generation module, the present invention can generate personalized exercise and nutrition plans according to the individual information of the elderly (such as age, gender, physical condition and degree of sarcopenia); this personalized guidance method can better meet the individual needs of the elderly compared to ordinary videos or general teaching materials, improving the pertinence and effectiveness of teaching and intervention.

[0021] 3. Through the interactive communication module, the present invention provides an interactive communication function between the elderly and the platform, including voice and text questions, as well as online community sharing. This interactive method not only enhances the sense of participation and belonging of the elderly, but also helps the platform collect the feedback and suggestions of the elderly in a timely manner, and continuously optimize and improve the teaching content and methods.

[0022] 4. Through the data monitoring and feedback module, the present invention can monitor the exercise data and physiological indicators (such as steps, heart rate, blood pressure, etc.) of the elderly in real time, and automatically adjust the exercise and nutrition plans according to the monitoring data. This intelligent monitoring and feedback mechanism can timely detect the changes in the physical condition of the elderly, provide timely and effective intervention and guidance, and reduce the risk and harm of sarcopenia in the elderly. At the same time, by introducing data fusion algorithms and reinforcement learning algorithms, the accuracy and reliability of the data, as well as the intelligence and adaptability of the plan, are further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a framework diagram of the animation teaching platform for exercise and nutrition of sarcopenia in the elderly of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] The following further describes the embodiments of the present invention in detail with reference to the drawings and embodiments. The following embodiments are used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0025] Embodiment: The present invention provides an animation teaching platform for exercise and nutrition of sarcopenia in the elderly, as Figure 1 shown, including:

[0026] An animation teaching module, which uses three-dimensional animation technology to produce exercise and nutrition teaching animations, and details the correct postures, breathing methods and precautions of exercise movements, as well as the intake and food sources of nutritional requirements;

[0027] A personalized plan generation module, which generates personalized exercise and nutrition plans according to the individual information of the elderly;

[0028] An interactive communication module, which provides an interactive communication function between the elderly and the platform, including voice and text questions, as well as online community sharing;

[0029] A data monitoring and feedback module, which integrates a data interface for wearable devices, monitors the exercise data and physiological indicators of the elderly in real time, and automatically adjusts the exercise and nutrition plans according to the monitoring data.

[0030] As can be seen from the above, the animation teaching platform for sarcopenia exercise and nutrition for the elderly of the present invention has significant beneficial effects. Through this platform, the elderly can obtain detailed, intuitive and personalized exercise and nutrition teaching guidance, greatly improving the comprehensibility and acceptability of teaching. At the same time, it can dynamically adjust the plan according to the real-time data feedback of the elderly, achieving precise intervention and guidance, and effectively reducing the risks and hazards of sarcopenia. Among them, the application of 3D animation technology is a major highlight, which makes the display of exercise movements and nutrition knowledge more vivid and vivid, helping the elderly better understand and master the correct exercise postures and nutrition intake methods. Especially for the elderly with limited education or poor eyesight, this teaching method is more friendly and efficient.

[0031] Furthermore, the exercise animations in the animation teaching module include muscle exercise movements suitable for the elderly such as resistance training and aerobic exercise.

[0032] As can be seen from the above, by detailedly demonstrating these movements in the form of animation, the elderly can more intuitively and clearly understand the specific steps, correct postures and breathing methods of each exercise movement, avoiding exercise errors caused by unclear written descriptions or limited understanding ability. This not only helps improve the accuracy and safety of the elderly's exercise movements, but also stimulates their exercise interest, so that they can participate in exercise more actively, effectively promoting muscle growth and strength enhancement, and combating the occurrence and development of sarcopenia.

[0033] Furthermore, in the animation teaching module, a pose estimation model is introduced to automatically identify the exercise movements of the elderly and give correction suggestions, which helps improve the accuracy and safety of the elderly's exercise movements. The formula of the pose estimation model includes:

[0034]

[0035] where N is the number of samples, is the pose predicted by the model, and y i is the true pose label.

[0036] As can be seen from the above, through the pose estimation model, the system can real-time monitor the exercise postures of the elderly and compare them with the standard postures, so as to accurately identify the deviations or errors in the movements. This not only greatly improves the accuracy and safety of the elderly's exercise movements, avoiding the risk of exercise injuries caused by incorrect movements, but also provides instant feedback and guidance for the elderly, helping them adjust and improve their movements in time to achieve better exercise effects. This intelligent teaching aid undoubtedly provides a more scientific, efficient and personalized solution for the exercise intervention of sarcopenia in the elderly.

[0037] Furthermore, the personalized plan generation module generates personalized exercise and nutrition plans for the elderly by comprehensively considering their age, gender, physical condition, and degree of sarcopenia through intelligent algorithms.

[0038] As can be seen from the above, the personalized plan generation module comprehensively considers the age, gender, physical condition, and degree of sarcopenia of the elderly through intelligent algorithms, and tailors personalized exercise and nutrition plans for each elderly person, ensuring a high degree of pertinence and effectiveness of teaching and intervention measures. Due to individual differences, the suitable exercise methods and nutritional needs of different elderly people will also vary. Through the generation of personalized plans, the elderly can obtain the most suitable exercise and nutrition guidance, thereby better improving their muscle conditions and enhancing their quality of life. This personalized service model reflects the full respect and care of the present invention for the individual differences of the elderly.

[0039] Furthermore, the data monitoring and feedback module can monitor the physiological indicators of the elderly, such as the number of steps, heart rate, blood pressure, etc., and provide feedback information to the elderly according to the monitoring data.

[0040] As can be seen from the above, the data monitoring and feedback module can monitor the physiological indicators of the elderly, such as the number of steps, heart rate, blood pressure, etc., in real time, and provide timely feedback information to the elderly according to these data. It enables the elderly to always keep track of their physical conditions and promptly discover potential health problems. Through continuous data monitoring and analysis, the system can accurately evaluate the exercise effects and health conditions of the elderly, and provide them with scientific and reasonable exercise and nutrition suggestions. This intelligent monitoring and feedback mechanism not only enhances the health awareness of the elderly but also provides them with personalized health management services, helping to better prevent and control the development of sarcopenia.

[0041] Furthermore, in the data monitoring and feedback module, a data fusion algorithm is introduced to integrate data from different wearable devices to improve the accuracy and reliability of the data; the formula of the data fusion algorithm includes:

[0042]

[0043] Among them, is the updated state estimate value, is the predicted state value, K k is the Kalman gain, z k is the observed value, and H is the observation matrix;

[0044] Meanwhile, a reinforcement learning algorithm is introduced to dynamically adjust the exercise and nutrition plans according to the real-time feedback and behavior data of the elderly, realizing a more intelligent feedback mechanism. The formula of the reinforcement learning algorithm includes:

[0045]

[0046] Among them, Q(s,a) is the expected return value of taking action a in state s, α is the learning rate, r is the immediate return, γ is the discount factor, and s′ is the next state.

[0047] As can be seen from the above, through the data fusion algorithm, the system can integrate data from different wearable devices, effectively eliminating the differences and redundancies between the data, and improving the accuracy and reliability of the data. This provides a solid foundation for subsequent health assessment and the formulation of exercise nutrition programs. At the same time, the introduction of the reinforcement learning algorithm enables the system to dynamically adjust the exercise and nutrition programs according to the real-time feedback and behavior data of the elderly, realizing a more intelligent feedback mechanism. This intelligent adjustment not only improves the pertinence of teaching and intervention, but also enhances the sense of participation and satisfaction of the elderly, contributing to better promoting their health management and improving their quality of life.

[0048] Furthermore, the elderly sarcopenia exercise and nutrition animation teaching platform of the embodiment is compared with the current existing exercise and nutrition teaching methods (control example) to obtain the following table:

[0049]

[0050] As can be seen from the above table, the elderly sarcopenia exercise and nutrition animation teaching platform of this embodiment is superior to the current existing exercise and nutrition teaching methods in terms of teaching methods, personalization level, interactivity, data monitoring and feedback, teaching effect, applicable population, and intelligent level. This innovative teaching platform can better meet the learning needs of the elderly and improve their health level and quality of life.

[0051] An embodiment of the present application provides an electronic device, applicable to the above-mentioned elderly sarcopenia exercise and nutrition animation teaching platform, including:

[0052] A memory for storing computer programs and data;

[0053] A processor for running system programs.

[0054] An embodiment of the present application provides a computer storage medium, applicable to the above-mentioned elderly sarcopenia exercise and nutrition animation teaching platform, and performs hierarchical confidentiality management on the above-mentioned system and data according to the requirements of confidentiality management.

[0055] Those skilled in the art should understand that the embodiments of the present application can be provided as a system or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0056] The present application is described with reference to the flowcharts and / or block diagrams of devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or a plurality of flows and / or blocks

[0057] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or a plurality of flows and / or blocks

[0058] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are performed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or a plurality of flows and / or blocks

[0059] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0060] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0061] A computer-readable medium includes permanent and non-permanent, removable and non-removable media and can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic disk storage or other magnetic storage devices, or any other non-transitory medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer-readable medium does not include transitory computer-readable media, such as modulated data signals and carrier waves.

[0062] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, article or device comprising the element.

[0063] The embodiments of the present invention are given for purposes of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. An animation teaching platform for exercise and nutrition for sarcopenia in the elderly, characterized by: include: Animation teaching module, using 3D animation technology to produce sports and nutrition teaching animations, showing in detail the correct posture of sports movements, breathing methods and precautions, as well as the intake and food sources of nutritional needs; A personalized program generation module generates personalized exercise and nutrition programs based on the individual information of the elderly; The interactive communication module provides interactive communication functions between the elderly and the platform, including voice and text questions, as well as online community sharing; The data monitoring and feedback module integrates the wearable device data interface to monitor the elderly's exercise data and physiological indicators in real time, and automatically adjusts the exercise and nutrition plans based on the monitoring data.

2. The animation teaching platform for sarcopenia exercise and nutrition in the elderly as claimed in claim 1, characterized in that: The sports animation in the animation teaching module includes muscle training movements of resistance training and aerobic exercise.

3. The animation teaching platform for sarcopenia exercise and nutrition in the elderly as claimed in claim 2, characterized in that: In the animation teaching module, a posture estimation model is introduced to automatically identify the movement movements of the elderly and provide correction suggestions.

4. The animation teaching platform for sarcopenia exercise and nutrition in the elderly as claimed in claim 1, characterized in that: The personalized program generation module generates a personalized exercise and nutrition program by comprehensively considering the age, gender, physical condition and degree of sarcopenia of the elderly through an intelligent algorithm.

5. The animation teaching platform for sarcopenia exercise and nutrition in the elderly as claimed in claim 1, characterized in that: The data monitoring and feedback module can monitor the number of steps, heart rate, and blood pressure indicators of the elderly, and provide feedback information to the elderly based on the monitoring data.

6. The elderly sarcopenia exercise and nutrition animation teaching platform as claimed in claim 1, characterized in that: In the data monitoring and feedback module, a data fusion algorithm is introduced to integrate data from different wearable devices; At the same time, reinforcement learning algorithms are introduced to dynamically adjust exercise and nutrition plans based on the real-time feedback and behavioral data of the elderly.

7. A processor, characterized in that: It is configured to execute the animation teaching platform for sarcopenia exercise and nutrition in the elderly according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the animation teaching platform for exercise and nutrition for sarcopenia in the elderly as described in any one of claims 1 to 6 is implemented.

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