A computationally efficient suboptimal smoother for attitude and position estimation using inertial sensors

Abstract

This paper proposes a simple smoother algorithm for inertial sensor-based motion tracking. It is assumed that the motion consists of moving and non-moving intervals such as golf swing, which consists of not-moving (before swing), moving (swing), not-moving (after swing) intervals. A computationally efficient suboptimal smoothing algorithm is proposed. The proposed algorithm can be used in the application with limited computational power like in a smartphone application. Through a simulation the proposed algorithm is verified.