Center for Human Modeling and Simulation

Document Type

Conference Paper

Date of this Version

October 2005

Comments

Copyright 2000 IEEE. Reprinted from Eighth Pacific Conference on Computer Graphics and Applications, pages 429-430. Publisher URL: http://doi.ieeecomputersociety.org/10.1109/PCCGA.2000.883979

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Abstract

This paper presents a data-driven procedural model for the kinematic animation of human walking. The use of data yields realistic looking gait, while the procedural model yields flexibility. We present a new motion data representation, the sagittal elevation angles, and present biomechanical evidence that these angles have a stereotyped pattern across many different walking situations, implying their reusability as a motion data source. We also sketch our algorithm for animating human gait based on sagittal elevation angle data which allows us to generate curved locomotion on uneven terrain with stylistic variation without requiring new datasets.

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Date Posted: 12 July 2007

This document has been peer reviewed.