Motion Prediction Based on Eigen-Gestures
Masato Nakajima, 正登 中島, Seiichi Uchida, 誠一 内田, Akihiro Mori, 明慧 森, Ryo Kurazume, 亮 倉爪, Rin‐ichiro Taniguchi, 倫一郎 谷口, Tsutomu Hasegawa, 勉 長谷川, Hiroaki Sakoe, 博昭 迫江 · 2006
Abstract Motion prediction is important for the realization of “proactive” gesture-based man-machine interaction systems, which can react in various ways before the end of user’s action. In this paper, two motion prediction methods are proposed. The first method is based on a naive extrapolation using a reference gesture. The second method is based on eigen-gestures, which represent typical spatial and temporal variations from the reference gesture. Experimental results show that the second method outperforms the first method because the eigen-gestures are useful to compensate various changes in input gestures.