The project is aimed at developing gesture prediction models which can be applied to humanoids such as virtual animated models to personify their movements. The project prototype will be based on a film character, whose moves and gesture semantics will be annotated manually. The gesture influencing social factors will be identified and an attribute representing them will be annotated for each dialogue. When this is applied on the machine prediction model designed in this project, prediction of the facial and body gestures will be made based on the person’s gesture behaviour. The models will be developed using supervised machine learning methods, such as the C4.5 algorithm, Naïve Bayes and Support Vector Machine.
Here is the short overview of the overall project : Virtual Actors- Presentation
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For more information, contact: Sri Sri Perangur at University of York