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Enhanced Avatar Control Using Neural Networks

No / This paper presents realistic avatar movements using a limited number of sensors. An inverse kinematics algorithm, SHAKF, is used to configure an articulated skeletal model, and a neural network is employed to predict the movement of joints not bearing sensors. The results show that the neural network is able to give a very close approximation to the actual rotation of the joints. This allows a substantial reduction in the number of sensors to configure an articulated human skeletal model.

Identiferoai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/7073
Date January 1999
CreatorsAmin, H., Earnshaw, Rae A.
Source SetsBradford Scholars
LanguageEnglish
Detected LanguageEnglish
TypeArticle, No full-text in the repository

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