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Accurate on-line avatar control with collision anticipation
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Virtual Reality Software and Technology archive
Proceedings of the 2007 ACM symposium on Virtual reality software and technology table of contents
Newport Beach, California
SESSION: Avatars, crowds & perceptions table of contents
Pages: 89 - 97  
Year of Publication: 2007
ISBN:978-1-59593-863-3
Authors
Manuel Peinado  Universidad de Alcalá, Spain
Daniel Meziat  Universidad de Alcalá, Spain
Damien Maupu  Fédérale de Lausanne, Switzerland
Daniel Raunhardt  Fédérale de Lausanne, Switzerland
Daniel Thalmann  Fédérale de Lausanne, Switzerland
Ronan Boulic  Fédérale de Lausanne, Switzerland
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Interactive control of a virtual character through full body movement has a wide range of applications. However, there is a need for systems that accurately reproduce the motion of a performer while accounting for surrounding obstacles. We propose an approach based on a Prioritized Inverse Kinematics constraint solver. Several markers are placed on the user's body. A set of kinematic constraints make the virtual character track these markers. At the same time, we monitor the instantaneous displacements of a set of geometric primitives, called observers, attached to different parts of the virtual character. When an observer enters the influence area of an obstacle, its motion is damped by means of automatically created preventive constraints. The IK solver satisfies both maker and preventive constraints simultaneously, yielding postures of the virtual character that remain close to those of the user, while avoiding collisions with the virtual environment. Our performance measurements show the maturity of the IK technology for real-time full-body interactions.


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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Collaborative Colleagues:
Manuel Peinado: colleagues
Daniel Meziat: colleagues
Damien Maupu: colleagues
Daniel Raunhardt: colleagues
Daniel Thalmann: colleagues
Ronan Boulic: colleagues