Gesture recognition of everyday activities

This thesis explores the concept of multimodal i.e. speech and gesture recognition in everyday life activities. It propose an approach to recognize goal of activity based on detecting and analyzing sequence of gesture, speech, object, actions and locations that are being manipulated by the users. In...

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Dettagli Bibliografici
Autore principale: Ku Nurul Fazira Ku Azir (Autore)
Natura: Elettronico Software eBook
Lingua:English
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