Motion Prediction Based on Eigen-Gestures(Gestures)

概要

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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.
社団法人電子情報通信学会の論文
2006-11-17