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Automating gait generation
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Source International Conference on Computer Graphics and Interactive Techniques archive
Proceedings of the 28th annual conference on Computer graphics and interactive techniques table of contents
Pages: 261 - 270  
Year of Publication: 2001
ISBN:1-58113-374-X
Authors
Harold C. Sun  University of Pennsylvania
Dimitris N. Metaxas  University of Pennsylvania
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 84,   Citation Count: 15
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ABSTRACT

One of the most routine actions humans perform is walking. To date, however, an automated tool for generating human gait is not available. This paper addresses the gait generation problem through three modular components. We present ElevWalker, a new low-level gait generator based on sagittal elevation angles, which allows curved locomotion - walking along a curved path - to be created easily; ElevInterp, which uses a new inverse motion interpolation algorithm to handle uneven terrain locomotion; and MetaGait, a high-level control module which allows an animator to control a figure's walking simply by specifying a path. The synthesis of these components is an easy-to-use, real-time, fully automated animation tool suitable for off-line animation, virtual environments and simulation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  15


REVIEW

"George K. Adam : Reviewer"

The research work presented in this paper provides a framework for automating the computation of gait generation. It introduces a new algorithm using the sagittal elevation angle motion representation for curved locomotion generation, applied in g  more...

Collaborative Colleagues:
Harold C. Sun: colleagues
Dimitris N. Metaxas: colleagues