Computational intelligence techniques for hand gesture recognition

Hand gesture is an approach that ha~ gained much anenlion for real-time HUrTIlln 10 Computer llIleraction (1ICI) applications. In lhis chapter, we pro,-ide a survey on Computational Inlelligence Tedmiq""s (CID fot hand g~lIIre recognition for HCI applications in general and Hidden Markov M...

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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/21637/ http://irep.iium.edu.my/21637/ http://irep.iium.edu.my/21637/1/Chapter_10.pdf

id	iium-21637
recordtype	eprints
spelling	iium-216372013-11-27T09:06:41Z http://irep.iium.edu.my/21637/ Computational intelligence techniques for hand gesture recognition Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Hand gesture is an approach that ha~ gained much anenlion for real-time HUrTIlln 10 Computer llIleraction (1ICI) applications. In lhis chapter, we pro,-ide a survey on Computational Inlelligence Tedmiq""s (CID fot hand g~lIIre recognition for HCI applications in general and Hidden Markov Mood (HMM) in paruculat. Many tnlditional metlKxls exist in thc field of pallcm recognilion lO achieve hand POSlUre and geSlure rco:ognilion [I. 2] slJCh as artificial inlelligence lechniques and statislical algorithms. However OIher lypeS of self developed algorilhms also exisl. and an: often referre<lto as OOll-lIadiliona! algorilhrn.~. For mOle delails on bolh approaches used for "isual human aClion recognilion. readers can refcr to the slUdy by MiChael el al. in [3]. Artificial Neu...l Nelwork's (ANN) ability in finding palterns and versalilily in lraining makes il popular learning melhod in geSlure recognilion. ANN and its variation such as have be<:n used for SL geslure recognition in any forms as in [4]_ Two noticed research work for gesltlre recognilion using ANN where 3D Hopfield NN [5] and Time-Delay NN (TDNN) has been developed by [6]. Recently, A!'IIN has been less used in the: field of gestu<e recognition because of ilS greater computational burrlcn. susceptibilily to training data over·fining and the huge number database il requin:s. IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21637/1/Chapter_10.pdf Bilal, Sara Mohammed Osman Saleh and Akmeliawati, Rini (2011) Computational intelligence techniques for hand gesture recognition. In: Human Behaviour Recognition, Identification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 77-84. 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 Computational intelligence techniques for hand gesture recognition
description	Hand gesture is an approach that ha~ gained much anenlion for real-time HUrTIlln 10 Computer llIleraction (1ICI) applications. In lhis chapter, we pro,-ide a survey on Computational Inlelligence Tedmiq""s (CID fot hand g~lIIre recognition for HCI applications in general and Hidden Markov Mood (HMM) in paruculat. Many tnlditional metlKxls exist in thc field of pallcm recognilion lO achieve hand POSlUre and geSlure rco:ognilion [I. 2] slJCh as artificial inlelligence lechniques and statislical algorithms. However OIher lypeS of self developed algorilhms also exisl. and an: often referre<lto as OOll-lIadiliona! algorilhrn.~. For mOle delails on bolh approaches used for "isual human aClion recognilion. readers can refcr to the slUdy by MiChael el al. in [3]. Artificial Neu...l Nelwork's (ANN) ability in finding palterns and versalilily in lraining makes il popular learning melhod in geSlure recognilion. ANN and its variation such as have be<:n used for SL geslure recognition in any forms as in [4]_ Two noticed research work for gesltlre recognilion using ANN where 3D Hopfield NN [5] and Time-Delay NN (TDNN) has been developed by [6]. Recently, A!'IIN has been less used in the: field of gestu<e recognition because of ilS greater computational burrlcn. susceptibilily to training data over·fining and the huge number database il requin:s.
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	Computational intelligence techniques for hand gesture recognition
title_short	Computational intelligence techniques for hand gesture recognition
title_full	Computational intelligence techniques for hand gesture recognition
title_fullStr	Computational intelligence techniques for hand gesture recognition
title_full_unstemmed	Computational intelligence techniques for hand gesture recognition
title_sort	computational intelligence techniques for hand gesture recognition
publisher	IIUM Press
publishDate	2011
url	http://irep.iium.edu.my/21637/ http://irep.iium.edu.my/21637/ http://irep.iium.edu.my/21637/1/Chapter_10.pdf
first_indexed	2023-09-18T20:32:56Z
last_indexed	2023-09-18T20:32:56Z
_version_	1777408857231851520

Computational intelligence techniques for hand gesture recognition

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