Trajectory optimization for human motion analysis based on inertial sensors

We propose a method to estimate kinematics, kinetics, and muscle forces by tracking inertial sensor data with a musculoskeletal model and a trajectory optimization approach. High correlations with a conventional analysis (optical motion capture and force plate) were achieved for walking and running kinematics (ρ ≥ 0.93) and kinetics (ρ ≥ 0.90).