Articles liés à Human-Machine Interaction By Tracking Hand Movements:...

Human-Machine Interaction By Tracking Hand Movements: Novel Approach - Using Morphology Technique - Couverture souple

Hussain, Abadal-Salam T.

 
9783659380327: Human-Machine Interaction By Tracking Hand Movements: Novel Approach - Using Morphology Technique
Couverture souple
ISBN 10 : 3659380326 ISBN 13 : 9783659380327
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

The vision-based hand tracking and gesture recognition is an extremely challenging problem due to the intricate nature of hand gestures this is a reason that available computer vision algorithms are computationally complex. 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 morphology approaches to solve the problem of human hand tracking and gesture recognition of 3D objects from a single silhouette image. This new proposed method was applied and tested on the simulated Manipulated Robotic System (UniMAP Robot Manipulator Simulation System) that allows this robotic system to act as an intelligent system to track a human hand in 3D space and estimate its orientation and position in real time with the goal of ultimately using the algorithm with a robotic spherical wrist system. During experiment, there was no need for continuous camera calibration, experimental result shows that proposed method is a robust, unlike other approaches that use costly leaning functions or generalization methods.

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

Présentation de l'éditeur

The vision-based hand tracking and gesture recognition is an extremely challenging problem due to the intricate nature of hand gestures this is a reason that available computer vision algorithms are computationally complex. 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 morphology approaches to solve the problem of human hand tracking and gesture recognition of 3D objects from a single silhouette image. This new proposed method was applied and tested on the simulated Manipulated Robotic System (UniMAP Robot Manipulator Simulation System) that allows this robotic system to act as an intelligent system to track a human hand in 3D space and estimate its orientation and position in real time with the goal of ultimately using the algorithm with a robotic spherical wrist system. During experiment, there was no need for continuous camera calibration, experimental result shows that proposed method is a robust, unlike other approaches that use costly leaning functions or generalization methods.

Biographie de l'auteur

PhD, Mechatronic Eng. Senior Lecturer for HND(BTEC - Edexcel, UK) & affil. by Sharjah Instit. of Tech., Uni. of Sharjah & Ittihad Uni. UAE (2002-2012). Academic Qualif.; GCE Sci. & Tech.(Uni. of London, UK), B.Eng.(RNEC, UK), MSc Electronics Eng. (USTO, Algeria), MSc & PhD Busi. Admin., Mexico) & PhD Mechatronic Eng., (UniMAP), Malaysia.

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
2013
Langue
anglais
ISBN 10 
3659380326
ISBN 13 
9783659380327
Reliure
Broché
Nombre de pages
220
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne