Spatiotemporal Gait Parameter Analysis Utilizing Gaitrite and Opencap

Recently low-cost markerless motion capture systems have shown promise for accurate kinematic analysis of human motion. Yet, despite relative accurate estimation of joint kinematics, it is unknown if markerless motion accurately quantifies gait spatiotemporal parameters. This study sought to compare spatiotemporal gait parameters quantified by a GaitRite instrumented walkway (Gold-standard) and markerless motion capture, OpenCap. 16 participants had gait spatiotemporal parameters quantified during a walk (1.3 m/s) and jog (3.0 m/s). Specifically, gait speed, cadence, stride length, single and double support time, and step width will be quantified with the instrumented treadmill and iOS based OpenCap. We expect the markerless based gait spatiotemporal parameters to exhibit moderate to strong relation with instrumented walkway derived measures, but consistently overestimate gait speed, cadence and stride length. The capability to accurately estimate spatiotemporal gait variables with markerless motion capture would be a significant step towards untethering biomechanical analysis from the laboratory.