Real-time Immersive human-computer interaction: based on tracking and recognition of dynamic hand gestures - Couverture souple

Lu, Gan

 
9783847348870: Real-time Immersive human-computer interaction: based on tracking and recognition of dynamic hand gestures
Couverture souple
ISBN 10 : 3847348876 ISBN 13 : 9783847348870
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Presented in this thesis is the design and development of a novel real-time HCI system based on a unique combination of a pair of data gloves based on fibre-optic curvature sensors to acquire finger joint angles, a hybrid tracking system based on inertia and ultrasound sensors to capture hand position and orientation, and a stereoscopic display to provide an immersive visual feedback. The potential and effectiveness of the proposed system is demonstrated through a number of hand gesture based applications, namely, virtual object manipulation and visualisation, direct sign writing, and finger spelling. For virtual object manipulation and visualisation, the system is shown to allow a user to manipulate and visualise virtual objects in 3D space using natural hand gestures in real-time. For direct sign writing, the system is shown to be able to display immediately the corresponding SignWriting symbols signed by a user using a range of complex hand gestures. Furthermore, for finger spelling, the system is shown to be able to recognise five vowels signed by two hands using the British Sign Language in real-time.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Presented in this thesis is the design and development of a novel real-time HCI system based on a unique combination of a pair of data gloves based on fibre-optic curvature sensors to acquire finger joint angles, a hybrid tracking system based on inertia and ultrasound sensors to capture hand position and orientation, and a stereoscopic display to provide an immersive visual feedback. The potential and effectiveness of the proposed system is demonstrated through a number of hand gesture based applications, namely, virtual object manipulation and visualisation, direct sign writing, and finger spelling. For virtual object manipulation and visualisation, the system is shown to allow a user to manipulate and visualise virtual objects in 3D space using natural hand gestures in real-time. For direct sign writing, the system is shown to be able to display immediately the corresponding SignWriting symbols signed by a user using a range of complex hand gestures. Furthermore, for finger spelling, the system is shown to be able to recognise five vowels signed by two hands using the British Sign Language in real-time.

Biographie de l'auteur

Gan Lu is presently working as a Research Associate at Imperial College, London. Dr. Lu obtained his PhD in Electronic Engineering from the University of Central Lancashire, where, meanwhile, he was also appointed as a part-time Research Associate. His research interests mainly fall into the areas of HCI, artificial intelligence and data animation.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3847348876
ISBN 13 
9783847348870
Reliure
Broché
Nombre de pages
196
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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