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...

Full description

Bibliographic Details
Main Authors:	Bilal, Sara, Akmeliawati, Rini, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/1825/ http://irep.iium.edu.my/1825/ http://irep.iium.edu.my/1825/1/VISION_BASED.pdf

id	iium-1825
recordtype	eprints
spelling	iium-18252011-09-10T15:11:19Z http://irep.iium.edu.my/1825/ Vision-based hand posture detection and recognition for sign language- a study Bilal, Sara Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin T Technology (General) 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/1825/1/VISION_BASED.pdf Bilal, Sara 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: 4th International Conference on Mechatronics (ICOM) , 17-19 May, 2011 , Kuala Lumpur. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5903341#
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Bilal, Sara 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 Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin
author_facet	Bilal, Sara Akmeliawati, Rini Salami, Momoh Jimoh Emiyoka Shafie, Amir Akramin
author_sort	Bilal, Sara
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/1825/ http://irep.iium.edu.my/1825/ http://irep.iium.edu.my/1825/1/VISION_BASED.pdf
first_indexed	2023-09-18T20:09:21Z
last_indexed	2023-09-18T20:09:21Z
_version_	1777407372998737920

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

Similar Items