Video-based omnibearing remote rehabilitation training system and method, and medium

By establishing a standardized digital training video library and intelligent assessment, combined with real-time motion monitoring and feedback, the problem of standardization and personalized adaptation of remote rehabilitation systems has been solved, improving the scientific nature and personalized guidance effect of rehabilitation training.

CN121747833APending Publication Date: 2026-03-27FALCON HEALTH TECHNOLOGY (SHANGHAI) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-29
Publication Date
2026-03-27

AI Technical Summary

Technical Problem

Existing remote rehabilitation systems lack standardized and systematic training content, and the execution of training movements lacks precise monitoring, making it impossible to achieve personalized adaptation and dynamic adjustment, which affects rehabilitation outcomes.

Method used

Establish a standardized digital training video library, combine intelligent assessment and real-time motion monitoring, analyze motion deviations through posture comparison engine and time sequence matching engine, provide personalized training programs and provide real-time feedback, and realize dynamic remote intervention.

Benefits of technology

It enhances the scientific rigor, standardization, and personalization of rehabilitation training, ensuring that training content covers the entire lifecycle and achieves multi-scenario adaptation and efficient personalized guidance.

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Abstract

The invention discloses a video-based omni-directional remote rehabilitation training system, a video-based omni-directional remote rehabilitation training method and a medium, which are characterized in that a digital standardized training video library classified according to four stages of PT physical therapy is established, and more than 700 digital standardized training videos such as joint activity, balance training, gait correction and the like are covered; it is ensured that the training content is scientific and covers the whole period and all directions of rehabilitation training; rehabilitators generate personalized training schemes in combination with rehabilitation scene types (hospitalization / home / community / old-age care institutions) and clinical data and in combination with remote video evaluation of the rehabilitators, and training requirements in different environments are met. By capturing actions of limb joint angles, joint point motion trails and muscle force changes, a training action deviation rate is calculated and is fed back and output to a rehabilitation teacher in a grading manner, so that the training standardability is remarkably improved; rehabilitators can manage multiple patients online at the same time, remotely check training percentage data, adjust schemes and generate rehabilitation notes, and efficient, accurate and personalized rehabilitation guidance services are provided for the patients.
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Description

Technical Field

[0001] This invention relates to the field of smart digital medical rehabilitation technology, specifically to a video-based comprehensive remote rehabilitation training system, method, and medium. Background Technology

[0002] With the aging population and surging demand for rehabilitation treatment, remote rehabilitation has emerged as a new means of health management and service. Traditional rehabilitation models rely on on-site treatment by rehabilitation therapists, which suffers from problems such as strained medical resources, inconvenience for patients to travel, and poor continuity of training. While existing remote rehabilitation systems have partially solved geographical limitations, they still have significant shortcomings: First, training content lacks standardization and systematicity, and is not structured according to rehabilitation stages, resulting in a disconnect between training plans and the patient's recovery progress; second, the execution of training movements lacks precise monitoring, with most systems relying solely on manual observation via video calls, failing to quantify and correct movement deviations in real time, thus affecting rehabilitation outcomes; third, training content is not visualized, hindering users from effectively completing rehabilitation training; and fourth, training plans lack personalized adaptation, failing to dynamically adjust plans based on the characteristics of different rehabilitation scenarios.

[0003] Therefore, there is an urgent need for a comprehensive remote rehabilitation training system that integrates a standardized training video library, intelligent assessment, customized training programs, real-time motion monitoring, and dynamic remote intervention to improve user rehabilitation efficiency and compliance. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the purpose of this invention is to provide a comprehensive video-based remote rehabilitation training system, method, and medium. Through the synergy of a structured training video resource library, multi-scenario intelligent adaptation, real-time motion correction, and dynamic remote intervention, the scientific nature, standardization, personalization, and safety of rehabilitation training are significantly improved.

[0005] According to a first aspect of the present invention, a video-based, comprehensive remote rehabilitation training method is provided, comprising the following steps: Step S100: Establish a digital standardized training video library: Establish a digital standardized training video library according to the four stages of PT physical therapy, wherein the four stages of PT physical therapy include the supine stage, the sitting stage, the standing stage, and the walking stage; Step S200, Intelligent Assessment: Obtain the rehabilitation scenario type selected by the user and the uploaded clinical data, and generate basic functional impairment data of the user by combining the remote video assessment of the rehabilitation therapist; Step S300, Training Program Customization: Based on the user's basic functional impairment data generated in Step S200 (Intelligent Assessment), the rehabilitation therapist selects and combines digital training videos from the digital standardized training video library to generate a personalized training program and sends it to the user. Step S400, Training Monitoring: By continuously acquiring images of the user, the system captures the changes in limb joint angles, movement trajectories, and muscle strength during the user's training process in real time. The system analyzes movement deviations through a posture comparison engine and a time-series matching engine, and provides real-time feedback to the rehabilitation therapist through a dynamic graded feedback strategy. Step S500, Remote Intervention: Allows rehabilitation therapists to remotely view the user's real-time training percentage, provide timely guidance, quickly adjust the training plan, and periodically generate rehabilitation summary reports.

[0006] In a preferred embodiment of the present invention, step S100, establishing a digital standardized training video library, further includes adding multidimensional tags to each training video. The multidimensional tags include one or more combinations of indication type, difficulty level, assistive device requirements, and target limb joint.

[0007] In a preferred embodiment of the present invention, the intelligent assessment step S200 further includes pushing differentiated comparison, video assessment and evaluation questionnaire based on the rehabilitation scenario type selected by the user and the uploaded clinical data.

[0008] In a preferred embodiment of the present invention, step S400, the training monitoring step, further includes continuously acquiring training image sequences from the user, extracting key joint points, joint angles, movement trajectories, and muscle strength changes of the limbs, constructing a dynamic limb motion vector model, and tracking joint movement trajectories and muscle strength changes in real time; the posture comparison engine compares the user's limb joint movement trajectory with the running path of digitally standardized training movements in the digitally standardized training video library; the temporal matching engine monitors the consistency of movement rhythm, comprehensively analyzes and calculates the user's movement deviation rate, and provides graded feedback to the rehabilitation therapist based on the user's movement deviation rate; when the movement deviation rate is ≥85%, a green confirmation signal and positive voice feedback are output; when the movement deviation rate is 75%-85%, a yellow deviation signal and guiding voice feedback are output; when the movement deviation rate is <75%, a red deviation signal is output, training is paused, and an error correction video is played.

[0009] In a preferred embodiment of the present invention, step S400, the training monitoring step, further includes collecting physiological change parameters of the user during training in real time through a heart rate sensor, a blood pressure sensor, and a body temperature sensor.

[0010] According to a second aspect of the present invention, a video-based comprehensive remote rehabilitation training system is provided, comprising a therapist's end and a user end, and further comprising: Digital Standardized Training Video Library Unit: Used to store digital standardized training videos categorized according to the four stages of PT physical therapy, and to establish a digital standardized training video library; the four stages of PT physical therapy include the supine stage, the sitting stage, the standing stage, and the walking stage; Intelligent assessment unit: used to acquire the rehabilitation scenario type selected by the user and the uploaded clinical data, and combine it with the remote video assessment by the rehabilitation therapist to generate basic functional impairment data of the user; Training program customization unit: This unit allows rehabilitation therapists to select and combine digitally standardized training videos from the digitally standardized training video library based on the user's basic functional impairment data generated by the intelligent assessment unit, and then send the personalized training program to the user's terminal. Training monitoring unit: Used for continuous image acquisition via the user terminal, capturing real-time changes in limb joint angles, movement trajectories, and muscle strength during user training. It analyzes movement deviations and the standardization of rehabilitation training postures using a posture comparison engine and a temporal matching engine, and provides real-time feedback to the rehabilitation therapist via a dynamic, graded feedback strategy. Remote intervention unit: This allows rehabilitation therapists to remotely view the user's real-time training percentage on their own devices, provide timely guidance and quickly adjust the training plan, and periodically generate rehabilitation summary reports.

[0011] In a preferred embodiment of the present invention, the scheme customization unit includes setting the total duration of a single training session and the number of repetitions of the training action.

[0012] In a preferred embodiment of the present invention, the training monitoring unit continuously collects training image sequences through the user terminal, extracts key joint points, joint angles, movement trajectories, and muscle strength changes of the limbs, constructs a dynamic limb motion vector model, and tracks the changes in limb joint angles, movement trajectories, and muscle strength in real time; the posture comparison engine compares the user's limb joint point movement trajectory with the running path of standard training movements in the video library, the temporal matching engine monitors the consistency of movement rhythm, comprehensively analyzes and calculates the user's movement deviation rate, and outputs the feedback to the rehabilitation therapist terminal according to the user's movement deviation rate.

[0013] In a preferred embodiment of the present invention, the remote intervention unit allows rehabilitation therapists to directly drag and drop standardized digital training videos in the personalized training plan and synchronize them to the user's terminal in real time, based on the user's real-time training percentage.

[0014] According to a third aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, which is executed by a processor for implementing the above-described video-based comprehensive remote rehabilitation training method.

[0015] Compared with the prior art, the present invention has the following beneficial effects and value: (1) Digital standardized training video collection: Establish a digital standardized training video library classified according to the four stages of PT physical therapy: "lying-sitting-standing-walking", covering more than 700 digital standardized training videos such as joint range of motion, balance training and gait correction, to ensure that the training content is scientific and covers the whole cycle and all aspects of rehabilitation training; (2) Multi-scenario intelligent adaptation: The rehabilitation therapist combines the rehabilitation scenario type (hospitalization / home / community / elderly care institution) and clinical data, and combines the rehabilitation therapist's remote video assessment to generate personalized training plans to solve the training needs in different environments; (3) Real-time precise movement correction: By capturing the movement of limb joint angles, joint point movement trajectories and muscle strength changes, the deviation rate of training movements is calculated and graded feedback is output to the rehabilitation therapist, which significantly improves the standardization of training. (4) Dynamic remote intervention mechanism: Rehabilitation therapists can manage multiple patients online at the same time, remotely view training percentage data, adjust plans and generate rehabilitation summary reports, providing patients with efficient, accurate and personalized rehabilitation guidance services. Attached Figure Description

[0016] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a flowchart illustrating the video-based comprehensive remote rehabilitation training method of the present invention. Figure 2 This is a schematic diagram of the structure of the video-based all-round remote rehabilitation training system of the present invention; Figure 3 This is a flowchart illustrating the process of the rehabilitation therapist's side of the present invention; Figure 4 This is a flowchart illustrating the user interface of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0018] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0019] It should be noted that similar reference numerals and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, all directional indications (such as up, down, left, right, front, back, bottom, etc.) in this application are only used to explain the relative positional relationships and movements between components in a specific orientation (as shown in the figures). If the specific orientation changes, the directional indication will also change accordingly. Furthermore, descriptions involving "first," "second," etc., in this application are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Example

[0020] like Figure 1 As shown, the video-based comprehensive remote rehabilitation training method of the present invention includes the following steps: Step S100: Establish a digital standardized training video library: A digital standardized training video library was established according to the four stages of PT physical therapy, including more than 700 digital standardized training videos. It also includes adding multi-dimensional tags to each training video, such as indication type, difficulty level, assistive device requirements and target limb joints. The four stages of PT physical therapy include the supine, sitting, standing, and walking phases. The training videos for the supine phase include, but are not limited to, joint mobility training videos and turning-over training videos. The training videos for the sitting phase include, but are not limited to, balance training videos and transfer training videos. The training videos for the standing phase include, but are not limited to, weight transfer videos and resistance training videos. The training videos for the walking phase include, but are not limited to, gait correction videos and step training videos.

[0021] Step S200 Intelligent Assessment: The system obtains the rehabilitation scenario type selected by the user and the uploaded clinical data, and combines this data with the remote video assessment by the rehabilitation therapist to generate basic functional impairment data for the user. The rehabilitation scenario types include one of the following: inpatient scenario, home scenario, community scenario, or elderly care institution scenario; the clinical data includes the user's basic information, medical record information, diagnostic reports, etc. It also includes pushing differentiated comparisons, video assessments, and evaluation questionnaires based on the type of rehabilitation scenario selected by the user and the uploaded clinical data.

[0022] Step S300 training program customization: Based on the user's basic functional impairment data generated in step S200 intelligent assessment, the rehabilitation therapist selects and combines digital training videos from the digital standardized training video library to generate a personalized training plan and sends it to the user terminal 20; it also includes setting the total duration of a single training session and the number of repetitions of the movements.

[0023] Step S400 Training Monitoring: By continuously acquiring images of users, the system captures the changes in limb joint angles, movement trajectories, and muscle strength during the user's training process in real time. The system analyzes movement deviations through posture comparison engines and time-series matching engines, and provides real-time feedback to rehabilitation therapists through a dynamic hierarchical feedback strategy. Specifically, the system continuously acquires training image sequences using an image acquisition device, extracts key joint points, joint angles, movement trajectories, and muscle strength changes of the limbs, constructs a dynamic limb motion vector model, and tracks changes in joint angles, movement trajectories, and muscle strength in real time. The posture comparison engine compares the user's limb joint movement trajectory with the running path of standard training movements in the video library, and the temporal matching engine monitors the consistency of movement rhythm, comprehensively analyzes and calculates the user's movement deviation rate, and provides graded feedback to the rehabilitation therapist based on the user's movement deviation rate. When the movement deviation rate is ≥85%, a green confirmation signal and positive voice feedback are output; when the movement deviation rate is 75%-85%, a yellow deviation signal and guiding voice feedback are output; when the movement deviation rate is <75%, a red deviation signal is output, training is paused, and an error correction video is played.

[0024] The training monitoring process also includes real-time collection of physiological change parameters of the user during training through heart rate sensors, blood pressure sensors, body temperature sensors, etc.

[0025] Step S500 remote intervention: It allows rehabilitation therapists to remotely view the user's real-time training percentage, provide timely guidance, quickly adjust the training plan, and periodically generate rehabilitation summary reports; In the remote intervention step, the therapist directly drags and drops the digital training video in the personalized training plan and synchronizes it to the user in real time.

[0026] like Figure 2 As shown, the video-based all-round remote rehabilitation training system of the present invention includes a rehabilitation therapist terminal 10 and a user terminal 20, and also includes: a digital standardized training video library unit 100, an intelligent assessment unit 200, a training program customization unit 300, a training monitoring unit 400, and a remote intervention unit 500.

[0027] like Figure 3As shown, on the therapist's end 10, therapists register and log in, including filling in basic information such as their basic information and professional skills, and uploading necessary qualification materials. After approval, a therapist code is generated for each therapist. Users can scan the therapist's code through the user end 20 to bind the user and therapist. After binding, the therapist can view the user's patient information in the user end through the therapist's end 10, review the patient information, view the patient's medical records, and conduct functional assessments. The therapist can select digital standardized training videos from the digital standardized training video library through the therapist's end 10 to generate a rehabilitation training plan that meets the user's needs, set training requirements and notes on the assistive devices to be prepared, and set requirements for training effect evaluation videos. After the user conducts rehabilitation training, the therapist can access the user end 20 through the therapist's end 10 to monitor the user's daily training details, adjust the rehabilitation training plan according to the user's rehabilitation training progress, until the user completes the rehabilitation training plan.

[0028] like Figure 4 As shown, in the user terminal 20, users bind to the rehabilitation therapist terminal 10 by scanning the therapist's code and select the rehabilitation scenario, including inpatients, home-based patients, and patients in community elderly care institutions. Users fill in basic information, upload medical records and current status assessment data on the user terminal 20, and wait for the rehabilitation therapist to create a rehabilitation training plan. They receive the rehabilitation training plan from the rehabilitation therapist terminal 10, follow the standardized digital training videos in the plan daily, and regularly submit practice and assessment videos. Within the rehabilitation training plan, users communicate daily with the rehabilitation therapist on the rehabilitation therapist terminal 10 via text, images, or video calls to ensure that their daily practice achieves the desired training effect until they complete the rehabilitation training plan.

[0029] The digital standardized training video library unit 100 is used to store more than 700 digital standardized training videos classified according to the four stages of PT physical therapy, and to establish a digital standardized training video library; the four stages of PT physical therapy include the supine stage, the sitting stage, the standing stage, and the walking stage; the supine stage training videos include, but are not limited to, joint mobility training videos and turning training videos; the sitting stage training videos include, but are not limited to, balance training videos and transfer training videos; the standing stage training videos include, but are not limited to, center of gravity transfer videos and resistance training videos; the walking stage training videos include, but are not limited to, gait correction videos and step training videos.

[0030] The intelligent assessment unit 200 is used to acquire the rehabilitation scenario type selected by the user and the uploaded clinical data, and generate basic functional impairment data of the user by combining the remote video assessment by the rehabilitation therapist; the rehabilitation scenario type includes one of the following: inpatient scenario, home scenario, community scenario or elderly care institution scenario; the clinical data includes the user's basic information, medical record information, diagnostic report, etc.

[0031] The training program customization unit 300 is used by rehabilitation therapists on the therapist's end 10 to select and combine digitally standardized training videos from the digitally standardized training video library based on the user's basic functional impairment data generated by the intelligent assessment unit 200, and generate a personalized exclusive training program to be sent to the user end 20; the training program customization unit 300 supports setting the total duration of a single training session, the number of repetitions of the movements, etc.

[0032] The training monitoring unit 400 is used to continuously acquire images through the user terminal 20, capture the changes in limb joint angles, movement trajectories and muscle strength during the user's training process in real time, analyze movement deviations and the standardization of rehabilitation training postures through posture comparison engine and time sequence matching engine, and output feedback to the rehabilitation therapist terminal 10 in real time through a dynamic hierarchical feedback strategy.

[0033] The training monitoring unit 400 continuously acquires training image sequences through the image acquisition device of the user terminal 20, extracts key joint points, joint angles, movement trajectories, and muscle strength changes of the limbs, constructs a dynamic limb motion vector model, and tracks the changes in limb joint angles, movement trajectories, and muscle strength in real time. The posture comparison engine compares the user's limb joint point movement trajectory with the running path of standard training movements in the video library. The temporal matching engine monitors the consistency of movement rhythm, comprehensively analyzes and calculates the user's movement deviation rate, and outputs feedback to the rehabilitation therapist terminal 10 according to the user's movement deviation rate. When the movement deviation rate is ≥85%, a green confirmation signal and positive voice feedback are output; when the movement deviation rate is 75%-85%, a yellow deviation signal and guidance voice feedback are output; when the movement deviation rate is <75%, a red deviation signal is output, training is paused, and a correction video is played.

[0034] The remote intervention unit 500 allows rehabilitation therapists to remotely view the user's real-time training percentage on the therapist's end 10, provide timely guidance and quickly adjust the training plan, and periodically generate rehabilitation summary reports. The remote intervention unit 500 also allows rehabilitation therapists to directly drag and drop digital training videos in the personalized training plan on the therapist's end 10 and instantly synchronize them to the user end 20.

[0035] In an embodiment of the present invention, the intelligent assessment unit 200 further includes a video assessment and a questionnaire assessment unit, which is used to push differentiated comparisons, video assessments and evaluation questionnaires based on the rehabilitation scenario type selected by the user and the uploaded clinical data.

[0036] In an embodiment of the present invention, the training monitoring unit 400 further includes a physiological change parameter monitoring unit, which collects physiological change parameters of the user during training in real time through a heart rate sensor, a blood pressure sensor, a body temperature sensor, etc.

[0037] The present invention provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the video-based omnidirectional remote rehabilitation training method of the present invention.

[0038] The specific embodiments of the present invention have been described above. Based on the above description, those skilled in the art can make various changes and modifications without departing from the technical concept of the present invention.

Claims

1. A comprehensive remote rehabilitation method based on video, characterized in that, Includes the following steps: Step S100: Establish a digital standardized training video library: Establish a digital standardized training video library according to the four stages of PT physical therapy, including the supine stage, sitting stage, standing stage, and walking stage. Step S200, Intelligent Assessment: Obtain the rehabilitation scenario type selected by the user and the uploaded clinical data, and generate basic functional impairment data of the user by combining the remote video assessment of the rehabilitation therapist; Step S300, Training Program Customization: Based on the user's basic functional impairment data generated in Step S200 (Intelligent Assessment), the rehabilitation therapist selects and combines digital training videos from the digital standardized training video library to generate a personalized training program and sends it to the user. Step S400, Training Monitoring: By continuously acquiring images of the user, the system captures the changes in limb joint angles, movement trajectories, and muscle strength during the user's training process in real time. The system analyzes movement deviations through a posture comparison engine and a temporal matching engine, and provides real-time feedback to the rehabilitation therapist through a graded feedback strategy. Step S500, Remote Intervention: Allows rehabilitation therapists to remotely view the user's real-time training percentage, provide timely guidance, quickly adjust the training plan, and periodically generate rehabilitation summary reports.

2. The video-based comprehensive remote rehabilitation training method according to claim 1, characterized in that, The step S100 of establishing a digital standardized training video library also includes adding multidimensional tags to each training video. The multidimensional tags include one or more combinations of indication type, difficulty level, assistive device requirements, and target limb joint.

3. The video-based comprehensive remote rehabilitation training method according to claim 2, characterized in that, The S200 intelligent assessment step also includes pushing differentiated comparisons, video assessments, and evaluation questionnaires based on the rehabilitation scenario type selected by the user and the uploaded clinical data.

4. The video-based comprehensive remote rehabilitation training method according to claim 1, characterized in that, The S400 training monitoring step further includes continuously acquiring training image sequences from the user, extracting key joint points, joint angles, movement trajectories, and muscle strength changes of the limbs, constructing a dynamic limb motion vector model, and tracking joint movement trajectories and muscle strength changes in real time; the posture comparison engine compares the user's limb joint movement trajectory with the running path of digitally standardized training movements in the digitally standardized training video library; the temporal matching engine monitors the consistency of movement rhythm, comprehensively analyzes and calculates the user's movement deviation rate, and provides graded feedback to the rehabilitation therapist based on the user's movement deviation rate; when the movement deviation rate is ≥85%, a green confirmation signal and positive voice feedback are output; when the movement deviation rate is 75%-85%, a yellow deviation signal and guiding voice feedback are output; when the movement deviation rate is <75%, a red deviation signal is output, training is paused, and an error correction video is played.

5. The video-based comprehensive remote rehabilitation training method according to any one of claims 1 to 4, characterized in that, The training monitoring step S400 also includes collecting physiological change parameters of the user during training in real time through heart rate sensor, blood pressure sensor and body temperature sensor.

6. A video-based, comprehensive remote rehabilitation training system, characterized in that, Including the therapist's side and the user side, it also includes: Digital Standardized Training Video Library Unit: Used to store digital standardized training videos categorized according to the four stages of PT physical therapy, and to establish a digital standardized training video library; the four stages of PT physical therapy include the supine stage, the sitting stage, the standing stage, and the walking stage; Intelligent assessment unit: used to acquire the rehabilitation scenario type selected by the user and the uploaded clinical data, and combine it with the remote video assessment by the rehabilitation therapist to generate basic functional impairment data of the user; Training program customization unit: This unit allows rehabilitation therapists to select and combine digitally standardized training videos from the digitally standardized training video library based on the user's basic functional impairment data generated by the intelligent assessment unit, and then send the personalized training program to the user's terminal. Training monitoring unit: Used for continuous image acquisition via the user terminal, capturing real-time changes in limb joint angles, movement trajectories, and muscle strength during user training. It analyzes movement deviations and the standardization of rehabilitation training postures using a posture comparison engine and a temporal matching engine, and provides real-time feedback to the rehabilitation therapist via a dynamic, graded feedback strategy. Remote intervention unit: This allows rehabilitation therapists to remotely view the user's real-time training percentage on their own devices, provide timely guidance and quickly adjust the training plan, and periodically generate rehabilitation summary reports.

7. The video-based comprehensive remote rehabilitation training system according to claim 6, characterized in that, The program customization unit includes setting the total duration of a single training session and the number of repetitions of the training actions.

8. The video-based comprehensive remote rehabilitation training system according to claim 6, characterized in that, The training monitoring unit continuously collects training image sequences through the user terminal, extracts key joint points, joint angles, movement trajectories, and muscle strength changes of the limbs, constructs a dynamic limb motion vector model, and tracks changes in limb joint angles, movement trajectories, and muscle strength in real time; the posture comparison engine compares the user's limb joint point movement trajectory with the running path of standard training movements in the video library, the temporal matching engine monitors the consistency of movement rhythm, comprehensively analyzes and calculates the user's movement deviation rate, and outputs the feedback to the rehabilitation therapist terminal according to the user's movement deviation rate.

9. The video-based comprehensive remote rehabilitation training system according to any one of claims 6 to 8, characterized in that, The remote intervention unit allows rehabilitation therapists to directly drag and drop standardized digital training videos from the personalized training plan and instantly synchronize them to the user's device, based on the user's real-time training percentage.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the video-based, comprehensive remote rehabilitation training method as described in claim 5.