Review on hand gesture recognition

The aim of this chapter is to present a review on the development of vision systems based on hand gesture. Vision-Based Human to Computer Interaction (HCI) systems has the ability of carrying a wealth of information in a natural way and at a low cost. Therefore hand recognition becomes a widely stud...

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Bibliographic Details
Main Authors:	Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini
Format:	Book Chapter
Language:	English
Published:	IIUM Press 2011
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/21635/ http://irep.iium.edu.my/21635/ http://irep.iium.edu.my/21635/1/Chapter_9.pdf

id	iium-21635
recordtype	eprints
spelling	iium-216352013-11-27T08:04:31Z http://irep.iium.edu.my/21635/ Review on hand gesture recognition Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices The aim of this chapter is to present a review on the development of vision systems based on hand gesture. Vision-Based Human to Computer Interaction (HCI) systems has the ability of carrying a wealth of information in a natural way and at a low cost. Therefore hand recognition becomes a widely studied topic with a wide range of applications such as SL translators, gesture recognition for control, augmented reality, surveillance, medical image processing, and etc. Hand recognition with no constraint on the shape is an open issue because the human hand is a complex articulated object consisting of many connected parts and joints. Considering the global hand pose and each finger joint, human hand motion has roughly 27 degree offreedom (DOF) IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21635/1/Chapter_9.pdf Bilal, Sara Mohammed Osman Saleh and Akmeliawati, Rini (2011) Review on hand gesture recognition. In: Human Behaviour Recognition, Identification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 68-76. ISBN 978-967-418-156-7 http://rms.research.iium.edu.my/bookstore/default.aspx
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Review on hand gesture recognition
description	The aim of this chapter is to present a review on the development of vision systems based on hand gesture. Vision-Based Human to Computer Interaction (HCI) systems has the ability of carrying a wealth of information in a natural way and at a low cost. Therefore hand recognition becomes a widely studied topic with a wide range of applications such as SL translators, gesture recognition for control, augmented reality, surveillance, medical image processing, and etc. Hand recognition with no constraint on the shape is an open issue because the human hand is a complex articulated object consisting of many connected parts and joints. Considering the global hand pose and each finger joint, human hand motion has roughly 27 degree offreedom (DOF)
format	Book Chapter
author	Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini
author_facet	Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini
author_sort	Bilal, Sara Mohammed Osman Saleh
title	Review on hand gesture recognition
title_short	Review on hand gesture recognition
title_full	Review on hand gesture recognition
title_fullStr	Review on hand gesture recognition
title_full_unstemmed	Review on hand gesture recognition
title_sort	review on hand gesture recognition
publisher	IIUM Press
publishDate	2011
url	http://irep.iium.edu.my/21635/ http://irep.iium.edu.my/21635/ http://irep.iium.edu.my/21635/1/Chapter_9.pdf
first_indexed	2023-09-18T20:32:56Z
last_indexed	2023-09-18T20:32:56Z
_version_	1777408856955027456

Review on hand gesture recognition

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