Walk this way: a lightweight, data-driven walking synthesis algorithm

Authors:
Sean Curtis;Ming Lin;Dinesh Manocha
Affiliations:
University of North Carolina at Chapel Hill, Chapel Hill, NC;University of North Carolina at Chapel Hill, Chapel Hill, NC;University of North Carolina at Chapel Hill, Chapel Hill, NC
Venue:
MIG'11 Proceedings of the 4th international conference on Motion in Games
Year:
2011

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Abstract

We present a novel, biomechanically-inspired, kinematic- based, example-driven walking synthesis model. Our model is ideally suited towards interactive applications such as games. It synthesizes motion interactively without a priori knowledge of the trajectory. The model is very efficient, producing foot-skate free, smooth motion over a large, continuous range of speeds and while turning, in as little as 5 μs. We've formulated our model so that an artist has extensive control over how the walking gait manifests itself at all speeds.