Extraction of Coordinative Structures of Motions by Segmentation Using Singular Spectrum Transformation
Hiroaki Nakanishi, Sayaka Kanata, Hirofumi Hattori,
Tetsuo Sawaragi, and Yukio Horiguchi
Department of Mechanical Engineering and Science, Graduate School of Engineering, Kyoto University, Yoshidahonmachi, Sakyo-ku, Kyoto 606-8501, Japan
In this article, we focus on the coordinative structure of human behavior, which contributes to specifying dynamics from time-series kinematic data. We propose a method for the extraction of dynamical interaction from time-series data of human behavior using Singular Spectrum Transformation. Using the proposed method, human behavior can be described as a letter string whose letters indicate where the motion segmentation is detected. We also discuss a method of extracting coordinative structures by constructing multiple alignments from the timing structure of extracted motion change points. To confirm the effectivity of the proposed method, the results of motion analysis are shown.
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