Walk This Way:
A Lightweight, Data-driven Walking Synthesis Algorithm

Sean Curtis    Ming C. Lin    Dinesh Manocha
University of North Carolina at Chapel Hill

The Fourth International Conference on Motion in Games 2011

A crowd

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 microseconds. We've formulated our model so that an artist has extensive control over how the walking gait manifests itself at all speeds.

First page of paper

Sean Curtis, Ming C. Lin, and Dinesh Manocha. Walk This Way: A Lightweight, Data-driven Walking Synthesis Algorithm. The Fourth International Conference on Motion in Games. 2011.

Paper (PDF, 0.5 MB)

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