Gait analysis with curvature maps: A simulation study
This research sets the groundwork for a curvature-based gait analysis system for healthcare professionals, but it is incremental as it builds on existing 3D mesh and curvature methods.
The paper tackled the problem of detecting gait anomalies by extracting curvature information from 3D body surfaces using depth cameras, demonstrating its utility in assessing asymmetric anomalies through simulated abnormal gaits compared to a normal one.
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.