Real-time Immersive human-computer interaction

Gan Lu

ISBN 10: 3847348876 / ISBN 13: 9783847348870

Published by LAP LAMBERT Academic Publishing Jan 2012, 2012

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 196 pp. Englisch.

Seller Inventory # 9783847348870

Bibliographic Details

• Title: Real-time Immersive human-computer interaction
• Publisher: LAP LAMBERT Academic Publishing Jan 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 3847348876
• ISBN 13: 9783847348870
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 12D millimeters 220 millimeters width by 150 millimeters height by 12 millimeters depth
• Weight: 310 grams
• Signed: Signed by Author(s)

About this title

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.

About the Author

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.