fokhruli/STGCN-rehab
This repository provides training and evaluation code for paper titled "Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises" (accepted in IEEE TNSRE)
This project helps physical therapists and rehabilitation specialists objectively assess patient performance during physical exercises. By analyzing body-joint data from motion capture or video, it evaluates the quality of an exercise and provides a score, enabling precise feedback for patients. This tool is designed for professionals managing physical rehabilitation.
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Use this if you need an automated system to score the correctness of rehabilitation exercises based on a patient's skeletal movements.
Not ideal if you're looking for a tool to track general fitness activities or provide real-time exercise correction without specific rehabilitation scoring.
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Language
Python
License
MIT
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Last pushed
Jan 15, 2025
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