Quantifying Human Motion Through Wearable Sensors

3 credits · College of Engineering catalogue

Advisory and Enforced Prerequisite: None. (3 credits) Hands-on introduction to inertial measurement units (IMUs) for measuring human motion strategies. Includes random processes, autocorrelation, cross-correlation, Fourier transforms, orientation representations, reference frames, and filters (low-pass, high-pass filters, Kalman). These concepts are applied to estimating biomechanical measures (e.g., body joint angles, torso posture, phases of gait, positions) and selecting metrics to support decision making reliant on human movement. Graduate credit includes additional synergistic research components.