Low-Back Pain Physical Rehabilitation by Movement Analysis in Clinical Trial

Sao Mai Nguyen

Low-Back Pain Physical Rehabilitation by Movement Analysis in Clinical Trial

Computer Vision and Pattern Recognition 2026-01-13 v1 Human-Computer Interaction Robotics

Authors: Sao Mai Nguyen

Abstract

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

Keywords

low back pain rehabilitation movement analysis clinical dataset intelligent tutoring system Keraal dataset

Cite

@article{arxiv.2601.06138,
  title  = {Low-Back Pain Physical Rehabilitation by Movement Analysis in Clinical Trial},
  author = {Sao Mai Nguyen},
  journal= {arXiv preprint arXiv:2601.06138},
  year   = {2026}
}

Comments

ICMST, Tokyo University of Science; Taiwanese Society of Movement Science and Technology; Research institute for Science and Technology, Nov 2025, Tokyo, Japan

Low-Back Pain Physical Rehabilitation by Movement Analysis in Clinical Trial

Abstract

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