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Simulating Biped Behaviors from Human Motion Data
K.W. Sok, M. Kim, and J. Lee
ACM Transactions on Graphics (SIGGRAPH 2007), Vol. 26, No. 3, July, 2007.

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Abstract

Physically based simulation of human motions is an important issue in the context of computer animation, robotics and biomechanics. We present a new technique for allowing our physically-simulated planar biped characters to imitate human behaviors. Our contribu- tion is twofold. We developed an optimization method that trans- forms any (either motion-captured or kinematically synthesized) biped motion into a physically-feasible, balance-maintaining sim- ulated motion. Our optimization method allows us to collect a rich set of training data that contains stylistic, personality-rich human behaviors. Our controller learning algorithm facilitates the creation and composition of robust dynamic controllers that are learned from training data. We demonstrate a planar articulated character that is dynamically simulated in real time, equipped with an integrated repertoire of motor skills, and controlled interactively to perform desired motions.

Notes

Associated lab/group: Computer Graphics Lab

Number of pages: 9

Note: MPEG4 movie [123M] available at http://mrl.snu.ac.kr/research/ProjectSimulBiped/SimulBiped.mov

Text Reference

K.W. Sok, M. Kim, and J. Lee, "Simulating Biped Behaviors from Human Motion Data," ACM Transactions on Graphics (SIGGRAPH 2007), Vol. 26, No. 3, July, 2007.

BibTeX Reference

@article{Sok_2007_6007,
   author = "Kwang Won Sok and Manmyung Kim and Jehee Lee",
   title = "Simulating Biped Behaviors from Human Motion Data",
   journal = "ACM Transactions on Graphics (SIGGRAPH 2007)",
   month = "July",
   year = "2007",
   volume = "26",
   number = "3",
   note = "MPEG4 movie [123M] available at http://mrl.snu.ac.kr/research/ProjectSimulBiped/SimulBiped.mov"
}


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