  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.
