Preliminary Viability Test of a 3-D-Consumer-Camera-Based System for Automatic Gait Feature Detection in People with and without Parkinson’s Disease

Movement contains a large amount of cognitive, central-motor and musculoskeletal information that correlates directly with the general state of health. Approaches to automatic movement analysis, in particular to automatized gait analysis are of utmost relevance to offer modern technological support for health professionals. The purpose of this paper is to present the experimental setup and preliminary results of the viability test of the TEDIPA study, which will evaluate the comparability of Azure Kinect's consumer depth and color camera with the medical product for gait analysis GAITRite, regarding accuracy and precision when measuring key indicators of healthy and pathological gait.