2A1-H01 Wii コントローラを用いた人体運動のパターン認識(感覚・運動・計測(1))

Abstract

This paper proposes an approach for the recognition of human body movements using IMU (Inertial Measurement Unit) sensors. The approach is based on online HMM-based segmentation of continuous time series data. In previous studies the real-time recognition of human body movement using joint angles acquired by optical motion capture has been realized. The segmentation algorithm is now implemented for angular velocities. Additionally, the segmented motions are recognized via HMM models. The segmentation and recognition results of the proposed algorithm are demonstrated results of the proposed algorithm are demonstrated on the movement of the right arm during a Japanese drumming performance.