2A1-D05 Human-like Segmentation of Daily Actions based on Switching Model of Linear Dynamic Systems and Human Body Hierarchy
Yushi Segawa, Taketoshi Mori, Yu Nejigane, Masamichi Shimosaka, Tomomasa Sato · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2006
This paper presents a human like segmentation method for daily actions. The proposed method utilizes human's teacher data of segmentation. By clustering the teacher data, wide variety of segmentation criteria of human are acquired. Each cluster is characterized by body parts it pays attention to, on the basis of tree representation of hierarchical structure of human body. We assume that latent dynamics changes at the segment-points of action, and utilize switching model of two linear dynamic systems to represent segmentation boundary.