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Performance‐driven motion choreographing with accelerometers
Author(s) -
Liang Xiubo,
Li Qilei,
Zhang Xiang,
Zhang Shun,
Geng Weidong
Publication year - 2009
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.311
Subject(s) - accelerometer , computer science , motion capture , animation , motion (physics) , acceleration , avatar , kinematics , artificial intelligence , process (computing) , virtual reality , computer vision , human–computer interaction , motion analysis , computer graphics (images) , physics , classical mechanics , operating system
Live performance is an intuitive way to naturally draft the desired motion in the choreographer's mind. In this paper we present a novel approach to choreographing motions by live performance captured with degree of freedom (3‐DOF) accelerometers. The process begins by placing the accelerometers on the user's limbs according to the pre‐specified positions. The computer then recognizes the performed actions using Hidden Markov Model (HMM), which is pre‐trained by the acceleration data samples automatically generated from a pre‐segmented motion capture database. At last, the captured actions are further synthesized with motion retiming and exaggeration based on the acceleration signals from the accelerometers. This method can intuitively rapid‐prototype the choreographed motions for pre‐production of animation, the avatar control in virtual reality and game‐like scenarios, etc. The experimental results show that it can effectively recognize actions with spatial‐time variance, and is easy‐to‐use especially for a novice with little experience. Copyright © 2009 John Wiley & Sons, Ltd.