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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Auteur principal: Taha Hussain, Abadal-Salam (Auteur)
Collectivité auteur: Universiti Malaysia Perlis
Format: Thèse Livre
Langue:English
Publié: Perlis, Malaysia School of Mechatronic Engineering 2013.
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Résumé: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.
Description matérielle:157 pages illustrations 30 cm
Bibliographie:Includes bibliographical references (pages 153-166).