Publication details
Real-Time Monitoring and Analysis of Rehabilitation Exercises from a Smartphone Camera Video Stream
| Authors | |
|---|---|
| Year of publication | 2026 |
| Type | Paper in proceedings |
| Conference | 16th ACM International Conference on Multimedia Retrieval (ICMR) |
| MU Faculty or unit | |
| Citation | |
| web | https://dl.acm.org/doi/10.1145/3805622.3810429 |
| Doi | https://doi.org/10.1145/3805622.3810429 |
| Keywords | rehabilitation monitoring; pose estimation; skeleton data; exercise similarity; exercise quality assessment |
| Attached files | |
| Description | This demo paper introduces a unique mobile application for real-time monitoring of physical therapy exercises. The application learns from therapist-guided exercise sessions and provides personalized feedback during at-home sessions. Each captured session is analyzed with state-of-the-art pose estimation, segmented into individual repetitions, and at-home exercises are evaluated against a personalized template. The application also offers intuitive real-time feedback during the at-home exercise in mirrored video and a comprehensive summary of the entire session. The demo video is available at: https://youtu.be/ew1gCw9nJNk. |
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