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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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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.

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

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.

@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"
}