Gait Phase Identification and Damping Control for Knee Orthosis Using Time Series Forest Classifier
Yaojung Shiao,
Ritik Bhagat
Abstract:Knee orthosis plays a vital role in enhancing the wellbeing and quality of life of individuals suffering from knee arthritis. This study explores a machine-learning-based methodology for predicting a user’s gait subphase using inertial measurement units (IMUs) for a semiactive orthosis. A musculoskeletal simulation is employed with the help of existing experimental motion-capture data to obtain essential metrics related to the gait cycle, which are then normalized and scaled. A meticulous data capture methodol… Show more
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