The online gait measurement for characteristic gait animation synthesis

Authors:
Yasushi Makihara;Mayu Okumura;Yasushi Yagi;Shigeo Morishima
Affiliations:
The Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan;The Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan;The Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan;Department of Science and Engineering , Waseda University, Tokyo, Japan
Venue:
Proceedings of the 2011 international conference on Virtual and mixed reality: new trends - Volume Part I
Year:
2011

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Abstract

This paper presents a method to measure online the gait features from the gait silhouette images and to synthesize characteristic gait animation for an audience-participant digital entertainment. First, both static and dynamic gait features are extracted from the silhouette images captured by an online gait measurement system. Then, key motion data for various gaits are captured and a new motion data is synthesized by blending key motion data. Finally, blend ratios of the key motion data are estimated to minimize gait feature errors between the blended model and the online measurement. In experiments, the effectiveness of gait feature extraction were confirmed by using 100 subjects from OU-ISIR Gait Database and characteristic gait animations were created based on the measured gait features.