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    Enhanced Avatar Control Using Neural Networks

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    Publication date
    1999
    Author
    Amin, H.
    Earnshaw, Rae A.
    Keyword
    Avatar
    Virtual reality
    Neural networks
    Peer-Reviewed
    Yes
    
    Metadata
    Show full item record
    Abstract
    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.
    URI
    http://hdl.handle.net/10454/7073
    Version
    No full-text available in the repository
    Citation
    Amin H. and Earnshaw R.A. (1999). Enhanced Avatar Control Using Neural Networks. Virtual Reality. Vol. 5, No. 5. Pp. 47-53.
    Link to publisher’s version
    http://dx.doi.org/10.1007/BF01418976
    Type
    Article
    Collections
    Engineering and Informatics Publications

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