Gait assessment plays a critical role in understanding mobility, neurological conditions, and fall risk. This whitepaper explores how StepSense uses depth sensing, pose estimation, and gait parameter prediction to generate objective insights into patient movement.
By combining Microsoft Azure Kinect, AI-based pose tracking, and trained gait predictors, StepSense helps healthcare professionals better assess gait speed, cadence, step length, stride length, knee flexion, and fall risk indicators.