LAUSR

Anomalous Gait Feature Classification From 3-D Motion Capture Data

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2 Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2021.3101549

Abstract: The gait kinematics of an individual is affected by various factors, including age, anthropometry, gender, and disease. Detecting anomalous gait features aids in the diagnosis and treatment of gait-related diseases. The objective of this study… read more here.

Keywords: motion capture; anomalous gait; gait; gait feature ... See more keywords