Journal of Information Processing
Online ISSN : 1882-6652
ISSN-L : 1882-6652
Low-dimensional Feature Vector Extraction from Motion Capture Data by Phase Plane Analysis
Takeshi MiuraTakaaki KaigaTakeshi ShibataKatsubumi TajimaHideo Tamamoto
著者情報
ジャーナル フリー

2017 年 25 巻 p. 884-887

詳細
抄録

This paper proposes a method to obtain a low-dimensional feature vector appropriately representing the characteristics of a given motion-capture data stream. The feature vector is derived based on the concept of phase plane analysis. A set of phase plane trajectories are obtained from the temporal variation of the state variables representing the body-segment arrangement. The information on six motion-characteristic properties is extracted from the shapes of the trajectories, and used as the components of a six-dimensional feature vector. The experimental results showed the effectiveness and limitation of the proposed method.

著者関連情報
© 2017 by the Information Processing Society of Japan
前の記事 次の記事
feedback
Top