Enhanced Avatar Control Using Neural Networks
Amin, H. Earnshaw, Rae A.
Amin, H.
Earnshaw, Rae A.
Publication Date
1999
End of Embargo
Supervisor
Keywords
Rights
Peer-Reviewed
Yes
Open Access status
closedAccess
Accepted for publication
Institution
Department
Awarded
Embargo end date
Additional title
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.
Version
No full-text 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
Link to published version
Link to Version of Record
Type
Article