Human-machine interaction by tracking hand movements /

In this research work a new methodology for 3D human hand gestures detection and recognition is proposed, which can be used for natural and intuitive human-computer interaction and other robotic systems. The proposed method based on Fourier's descriptors, neural networks and morphology approach...

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Bibliographic Details
Main Author: Taha Hussain, Abadal-Salam (Author)
Corporate Author: Universiti Malaysia Perlis
Format: Thesis Book
Language:English
Published: Perlis, Malaysia School of Mechatronic Engineering 2013.
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Summary:In this research work a new methodology for 3D human hand gestures detection and recognition is proposed, which can be used for natural and intuitive human-computer interaction and other robotic systems. The proposed method based on Fourier's descriptors, neural networks and morphology approaches to solve the problem of human hand tracking and gesture recognition of 3D objects from a single silhouette image.
Physical Description:157 pages illustrations 30 cm
Bibliography:Includes bibliographical references (pages 153-166).