@inproceedings{UelschenEikerling2020, author = {Michael Uelschen and Heinz-Josef Eikerling}, title = {An efficient algorithm for kinematics estimation with application to dynamic gait stability using a contact-less skeleton tracking system}, series = {Proceedings BIODEVICES 2020 – 13th International Conference on Biomedical Electronics and Devices}, publisher = {SCITEPRESS}, address = {Set{\´u}bal, Portugal}, url = {https://nbn-resolving.org/urn:nbn:de:bsz:959-opus-15821}, year = {2020}, abstract = {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.}, language = {en} }