Virtual inertial sensor data generation using angular velocity splines

This paper is concerned with virtual inertial sensor data generation from pose data. Angular velocity data generating given pose are computed using eighth-order splines. The computation algorithm is proposed, where a linear quadratic optimization is used to compute spline parameters. Using the proposed method, virtual inertial sensor data could be generated from abundant pose data obtained from motion tracking systems.