Performance of multiple neural networks in predicting lower limb joint moments using wearable sensors
Zainab Altai,
Issam Boukhennoufa,
Xiaojun Zhai
et al.
Abstract:Joint moment measurements represent an objective biomechemical parameter in joint health assessment. Inverse dynamics based on 3D motion capture data is the current 'gold standard’ to estimate joint moments. Recently, machine learning combined with data measured by wearable technologies such electromyography (EMG), inertial measurement units (IMU), and electrogoniometers (GON) has been used to enable fast, easy, and low-cost measurements of joint moments. This study investigates the ability of various deep neu… Show more
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