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The EMOTE model for effort and shape
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Source International Conference on Computer Graphics and Interactive Techniques archive
Proceedings of the 27th annual conference on Computer graphics and interactive techniques table of contents
Pages: 173 - 182  
Year of Publication: 2000
ISBN:1-58113-208-5
Authors
Diane Chi  Center for Human Modeling and Simulation, University of Pennsylvania
Monica Costa  Center for Human Modeling and Simulation, University of Pennsylvania
Liwei Zhao  Center for Human Modeling and Simulation, University of Pennsylvania
Norman Badler  Center for Human Modeling and Simulation, University of Pennsylvania
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM Press/Addison-Wesley Publishing Co.  New York, NY, USA
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Downloads (6 Weeks): 12,   Downloads (12 Months): 107,   Citation Count: 38
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ABSTRACT

Human movements include limb gestures and postural attitude. Although many computer animation researchers have studied these classes of movements, procedurally generated movements still lack naturalness. We argue that looking only at the psychological notion of gesture is insufficient to capture movement qualities needed by animated charactes. We advocate that the domain of movement observation science, specifically Laban Movement Analysis (LMA) and its Effort and Shape components, provides us with valuable parameters for the form and execution of qualitative aspects of movements. Inspired by some tenets shared among LMA proponents, we also point out that Effort and Shape phrasing across movements and the engagement of the whole body are essential aspects to be considered in the search for naturalness in procedurally generated gestures. Finally, we present EMOTE (Expressive MOTion Engine), a 3D character animation system that applies Effort and Shape qualities to independently defined underlying movements and thereby generates more natural synthetic gestures.


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  38
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Collaborative Colleagues:
Diane Chi: colleagues
Monica Costa: colleagues
Liwei Zhao: colleagues
Norman Badler: colleagues

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