TY - CHAP U1 - Konferenzveröffentlichung A1 - Uelschen, Michael A1 - Eikerling, Heinz-Josef T1 - An efficient algorithm for kinematics estimation with application to dynamic gait stability using a contact-less skeleton tracking system T2 - Proceedings BIODEVICES 2020 – 13th International Conference on Biomedical Electronics and Devices N2 - This paper presents an optimized algorithm for estimating static and dynamic gait parameters. We use a marker- and contact-less motion capture system that identifies 20 joints of a person walking along a corridor. Based on the proposed gait cycle detection basic metrics as walking frequency, step/stride length, and support phases are estimated automatically. Applying a rigid body model, we are capable to calculate static and dynamic gait stability metrics. We conclude with initial results of a clinical study evaluating orthopaedic technical support. KW - Gait Analysis KW - Kinematics Estimation KW - Marker-less Skeleton Tracking KW - Orthopaedic Technical Support Y1 - 2020 U6 - https://nbn-resolving.org/urn:nbn:de:bsz:959-opus-15821 UN - https://nbn-resolving.org/urn:nbn:de:bsz:959-opus-15821 N1 - 13th International Conference on Biomedical Electronics and Devices, February 24 - 26, 2020 Valletta, Malta PB - SCITEPRESS CY - Setúbal, Portugal ER -