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.

翻译：Gait分析是临床调查的一个重要方面,用于检测神经和肌肉骨骼紊乱并评估患者的全球健康状况。在这份文件中,我们提议集中关注从深度摄像头提供的人体表面提取相关的曲线信息。我们假设3D网目是在前一步骤提供的,并展示了曲线图如何有助于评估非对称异常,用两个简单的模拟异常格子来评估正常格子。这一研究为今后发展基于曲线的保健专业人员步法分析系统奠定了基础。