Gait analysis is an important aspect of clinical investigation for detecting neurological and musculoskeletal disorders and assessing the global health of a patient. In this paper we propose to focus our attention on extracting relevant curvature information from the body surface provided by a depth camera. We assumed that the 3D mesh was made available in a previous step and demonstrated how curvature maps could be useful to assess asymmetric anomalies with two simple simulated abnormal gaits compared with a normal one. This research set the grounds for the future development of a curvature-based gait analysis system for healthcare professionals.
@article{arxiv.2106.11466,
title = {Gait analysis with curvature maps: A simulation study},
author = {Khac Chinh Tran and Marc Daniel and Jean Meunier},
journal= {arXiv preprint arXiv:2106.11466},
year = {2021}
}