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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.06138 |
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| _version_ | 1866917194163552256 |
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| author | Nguyen, Sao Mai |
| author_facet | Nguyen, Sao Mai |
| contents | To allow the development and assessment of physical rehabilitation by an intelligent tutoring system, we propose a medical dataset of clinical patients carrying out low back-pain rehabilitation exercises and benchmark on state of the art human movement analysis algorithms. This dataset is valuable because it includes rehabilitation motions in a clinical setting with patients in their rehabilitation program. This paper introduces the Keraal dataset, a clinically collected dataset to enable intelligent tutoring systems (ITS) for rehabilitation. It addresses four challenges in exercise monitoring: motion assessment, error recognition, spatial localization, temporal localization |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_06138 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Low-Back Pain Physical Rehabilitation by Movement Analysis in Clinical Trial Nguyen, Sao Mai Computer Vision and Pattern Recognition Human-Computer Interaction Robotics To allow the development and assessment of physical rehabilitation by an intelligent tutoring system, we propose a medical dataset of clinical patients carrying out low back-pain rehabilitation exercises and benchmark on state of the art human movement analysis algorithms. This dataset is valuable because it includes rehabilitation motions in a clinical setting with patients in their rehabilitation program. This paper introduces the Keraal dataset, a clinically collected dataset to enable intelligent tutoring systems (ITS) for rehabilitation. It addresses four challenges in exercise monitoring: motion assessment, error recognition, spatial localization, temporal localization |
| title | Low-Back Pain Physical Rehabilitation by Movement Analysis in Clinical Trial |
| topic | Computer Vision and Pattern Recognition Human-Computer Interaction Robotics |
| url | https://arxiv.org/abs/2601.06138 |