Vision-based hand posture detection and recognition for sign language - A study

Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealing test bed for understanding more general principles for hand shape, location and motion trajectory. Hand posture shape in other words static gestures detection and recognition is crucial in SLs and p...

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Main Authors:	Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	TJ212 Control engineering
Online Access:	http://irep.iium.edu.my/5364/ http://irep.iium.edu.my/5364/ http://irep.iium.edu.my/5364/ http://irep.iium.edu.my/5364/1/icom2011_sara.pdf

id	iium-5364
recordtype	eprints
spelling	iium-53642013-11-01T06:14:56Z http://irep.iium.edu.my/5364/ Vision-based hand posture detection and recognition for sign language - A study Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin TJ212 Control engineering Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealing test bed for understanding more general principles for hand shape, location and motion trajectory. Hand posture shape in other words static gestures detection and recognition is crucial in SLs and plays an important role within the duration of the motion trajectory. Vision-based hand shape recognition can be accomplished using three approaches 3D hand modelling, appearance-based methods and hand shape analysis. In this survey paper, we show that extracting features from hand shape is so essential during recognition stage for applications such as SL translators. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/5364/1/icom2011_sara.pdf Bilal, Sara Mohammed Osman Saleh and Akmeliawati, Rini and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin (2011) Vision-based hand posture detection and recognition for sign language - A study. In: 2011 4th International Conference on Mechatronics: Integrated Engineering for Industrial and Societal Development (ICOM 2011), 17-19 May, 2011, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ICOM.2011.5937178 doi:10.1109/ICOM.2011.5937178
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TJ212 Control engineering
spellingShingle	TJ212 Control engineering Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin Vision-based hand posture detection and recognition for sign language - A study
description	Unlike general gestures, Sign Languages (SLs) are highly structured so that it provides an appealing test bed for understanding more general principles for hand shape, location and motion trajectory. Hand posture shape in other words static gestures detection and recognition is crucial in SLs and plays an important role within the duration of the motion trajectory. Vision-based hand shape recognition can be accomplished using three approaches 3D hand modelling, appearance-based methods and hand shape analysis. In this survey paper, we show that extracting features from hand shape is so essential during recognition stage for applications such as SL translators.
format	Conference or Workshop Item
author	Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin
author_facet	Bilal, Sara Mohammed Osman Saleh Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin
author_sort	Bilal, Sara Mohammed Osman Saleh
title	Vision-based hand posture detection and recognition for sign language - A study
title_short	Vision-based hand posture detection and recognition for sign language - A study
title_full	Vision-based hand posture detection and recognition for sign language - A study
title_fullStr	Vision-based hand posture detection and recognition for sign language - A study
title_full_unstemmed	Vision-based hand posture detection and recognition for sign language - A study
title_sort	vision-based hand posture detection and recognition for sign language - a study
publishDate	2011
url	http://irep.iium.edu.my/5364/ http://irep.iium.edu.my/5364/ http://irep.iium.edu.my/5364/ http://irep.iium.edu.my/5364/1/icom2011_sara.pdf
first_indexed	2023-09-18T20:13:55Z
last_indexed	2023-09-18T20:13:55Z
_version_	1777407659947851776

Vision-based hand posture detection and recognition for sign language - A study

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