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Breathe easy: model and control of simulated respiration for animation
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Symposium on Computer Animation archive
Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation table of contents
Grenoble, France
SESSION: Motion patterns table of contents
Pages: 29 - 37  
Year of Publication: 2004
ISBN ~ ISSN:1727-5288 , 3-905673-14-2
Authors
Victor Brian Zordan  University of California Riverside
Bhrigu Celly  University of California Riverside
Bill Chiu  University of California Riverside
Paul C. DiLorenzo  University of California Riverside
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Eurographics: Eurographics Association
Publisher
Eurographics Association  Aire-la-Ville, Switzerland, Switzerland
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Downloads (6 Weeks): 8,   Downloads (12 Months): 81,   Citation Count: 11
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APPENDICES and SUPPLEMENTS
Supplemental video
Supplemental video


ABSTRACT

Animation of the breath has been largely ignored by the graphics community, even though it is a signature movement of the human body and an indicator for lifelike motion. In this paper, we present an anatomically inspired, physically based model of the human torso for the visual simulation of respiration using a mixed system of rigid and deformable parts. This novel composition of anatomical components is necessary to capture the key characteristics of breathing motion visible in the human trunk because the movement is generated fundamentally through the combination of both rigid bone and soft tissue. We propose a simple anatomically meaningful muscle element based on springs, which is used throughout both actively to drive the motion of the ribs and diaphragm and passively for other muscles like those of the abdomen. In addition, we introduce a straightforward method for preserving incompressible volume in deformable bodies to use in approximating the motion of the gut related to breath. Through the careful construction of this anatomically based torso, control for respiration becomes the generation of periodic contraction signals for a minimal set of two muscle groups. We show the flexibility of our approach through the animation of several breathing styles using our system and we verify our results through video and analytical comparisons.


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  11

Collaborative Colleagues:
Victor Brian Zordan: colleagues
Bhrigu Celly: colleagues
Bill Chiu: colleagues
Paul C. DiLorenzo: colleagues