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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Bibliographic Details
Main Author: Ku Nurul Fazira Ku Azir (Author)
Format: Electronic Software eBook
Language:English
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