Early intervention optimization analysis system
Patent Information
- Authority / Receiving Office
- TW · TW
- Patent Type
- Utility models
- Current Assignee / Owner
- 施淞礬
- Filing Date
- 2026-03-27
- Publication Date
- 2026-08-01
Smart Images

Figure TWG2TB001904494_001 
Figure TWG2TB001904494_002 
Figure TWG2TB001904494_003
Abstract
Claims
1. An early intervention optimization analysis system, comprising at least: an online platform, which allows at least one physician or therapist to connect with at least one user, the user assisting an early intervention patient in an online consultation with the physician or therapist, the physician or therapist analyzing the patient's condition to generate a training task or training course, the online platform transmitting the training task or training course to the user, allowing the user to assist the early intervention patient in performing the training task or training course; at least one image recognition unit, connected to the online platform, the image recognition unit performing dynamic image recognition of the early intervention patient, determining the accuracy of the patient's actions in performing the training task or training course and providing dynamic multimedia interactive feedback, the image recognition unit further recording the patient's performance process and transmitting it back to the online platform; wherein... The online platform is equipped with an AI computing and analysis unit. This unit can integrate and analyze the records returned by the image recognition unit. When the early intervention patient returns for a follow-up visit, the doctor or therapist can optimize the training task or training course for the early intervention patient based on the patient's condition and the analysis of the AI computing and analysis unit.
2. The early intervention optimization analysis system as described in claim 1 further includes at least one terminal device that is connected to the online platform, and the user and the doctor or therapist can connect to the online platform through the terminal device respectively.
3. The early intervention optimization analysis system as described in claim 1, wherein the image recognition unit is provided with at least a joint recognition module and an object recognition module, the joint recognition module can identify the joint angle and position in the early intervention patient's movements, and the object recognition module can identify whether the early intervention patient is holding an object in the early intervention patient's movements.
4. The early intervention optimization analysis system as described in claim 1 or 3, wherein the image recognition unit is provided with at least a physiological and emotional recognition module, a voice recognition module and a safety warning module. The physiological and emotional recognition module can recognize the physiological and emotional characteristics of the early intervention patient, the voice recognition module can recognize the voice of the early intervention patient and the user, and the safety warning module can issue a warning based on the physiological characteristics, emotional characteristics and voice of the early intervention patient.
5. An early intervention optimization analysis system, comprising at least: an online platform, wherein the online platform allows at least one physician or therapist to create at least one early intervention questionnaire and set multiple influencing factors and training indicators, wherein each influencing factor and training indicator can correspond to at least one specified action and the number of actions, the online platform can provide the early intervention questionnaire to at least one user, allowing the user to answer the early intervention questionnaire based on the condition of an early intervention patient, the online platform is equipped with an AI computing analysis unit, the AI computing analysis unit can analyze the early intervention questionnaire answered by the user to form a training task or training course, the online platform can transmit the training task or training course to the user, allowing the user to assist the early intervention patient in performing the training task or training course; At least one image recognition unit is connected to the online platform. This image recognition unit performs dynamic image recognition on the early intervention patient, determines the accuracy of the patient's actions in performing the training task or course, and provides dynamic multimedia interactive feedback. The image recognition unit also records the patient's execution process and sends it back to the online platform. The AI computing and analysis unit of the online platform can comprehensively analyze and integrate the influencing factors and training indicators based on the records sent back by the image recognition unit to optimize the training task or course for the early intervention patient.
6. The early intervention optimization analysis system as described in request item 5, wherein the early intervention questionnaire may be an online form.
7. The early intervention optimization analysis system as described in claim 5 further includes at least one terminal device that is connected to the online platform, and the user and the doctor or therapist can connect to the online platform through the terminal device respectively.
8. The early intervention optimization analysis system as described in claim 5, wherein the image recognition unit is provided with at least a joint recognition module and an object recognition module, the joint recognition module can identify the joint angle and position in the early intervention patient's movements, and the object recognition module can identify whether the early intervention patient is holding an object in the early intervention patient's movements.
9. The early intervention optimization analysis system as described in claim 5 or 8, wherein the image recognition unit is provided with at least a physiological and emotional recognition module, a voice recognition module and a safety warning module, wherein the physiological and emotional recognition module can recognize the physiological and emotional characteristics of the early intervention patient, the voice recognition module can recognize the voice of the early intervention patient and the user, and the safety warning module can issue a warning based on the physiological characteristics, emotional characteristics and voice of the early intervention patient.