Category: Rehabilitation and Fitness

Exhibitor: NATIONAL KAOHSIUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Booth No: J334

 

Characteristic

 

The exhibit, titled “Intelligent Motion Analysis and Functional Rehabilitation Assessment Platform,” is a smart rehabilitation assistance system developed through the integration of computer vision and human pose estimation technologies. The system employs non-contact image acquisition to analyze users’ joint trajectories and movement patterns in real time, and conducts posture data analysis to provide functional movement assessments and rehabilitation recommendations. It is capable of quantifying key indicators such as Range of Motion (ROM), movement stability, and compensatory behaviors. Through a visualized interface, the system delivers real-time feedback to assist users in correcting their movements, thereby enhancing the safety and precision of rehabilitation training.
In terms of technical features, the platform adopts a non-wearable sensing design, eliminating the need for additional sensors and reducing barriers to use, particularly for older adults and individuals with mobility limitations. The system incorporates real-time posture feedback and motion correction mechanisms to enhance user engagement and training effectiveness. Furthermore, it establishes an evaluation model based on Activities of Daily Living (ADL), aligning the system with the practical needs of clinical rehabilitation and long-term care settings. The platform also supports long-term accumulation of posture data, enabling longitudinal analysis of rehabilitation progress and providing evidence-based support for professional decision-making.
The platform has completed the development of its core modules and system integration, featuring real-time computation and visual feedback capabilities. It can operate using standard camera equipment and has reached the proof-of-concept stage, demonstrating strong potential for commercialization. The system can be applied across multiple domains, including medical rehabilitation, long-term care, and telemedicine. Potential applications include physical therapy assistance, motion monitoring and fall risk assessment for older adults, and home-based rehabilitation management systems. Overall, the platform leverages AI technologies to establish a non-contact and data-driven rehabilitation assessment mechanism, offering significant application value and promising industrial development potential.

 

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