Animation of Human Locomotion Using Sagittal Elevation Angles

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. 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 This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. This conference paper is available at ScholarlyCommons: http://repository.upenn.edu/hms/20 Animation of Human Locomotion Using Sagittal Elevation Angles Harold C. Sun and Dimitris Metaxas VAST Lab, University of Pennsylvania Philadelphia, PA USA hsun @graphics.cis.upenn.edu