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dc.contributor.authorAmin, H.*
dc.contributor.authorEarnshaw, Rae A.*
dc.date.accessioned2015-01-28T12:55:45Z
dc.date.available2015-01-28T12:55:45Z
dc.date.issued1999
dc.identifier.citationAmin H. and Earnshaw R.A. (1999). Enhanced Avatar Control Using Neural Networks. Virtual Reality. Vol. 5, No. 5. Pp. 47-53.en_US
dc.identifier.urihttp://hdl.handle.net/10454/7073
dc.descriptionNoen_US
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://dx.doi.org/10.1007/BF01418976en_US
dc.subjectAvataren_US
dc.subjectVirtual realityen_US
dc.subjectNeural networksen_US
dc.titleEnhanced Avatar Control Using Neural Networksen_US
dc.status.refereedYesen_US
dc.typeArticleen_US
dc.type.versionNo full-text available in the repositoryen_US


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