A Review on the Development of Indonesian Sign Language Recognition System

Sign language is mainly employed by hearing-impaired people to communicate with each other. However, communication with normal people is a major handicap for them since normal people do not understand their sign language. Sign language recognition is needed for realizing a human oriented interactive...

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Main Authors:	Jasni, Mohamad Zain, Sutarman, na, Mazlina, Abdul Majid
Format:	Article
Language:	English
Published:	Science Publications 2013
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/6175/ http://umpir.ump.edu.my/id/eprint/6175/ http://umpir.ump.edu.my/id/eprint/6175/ http://umpir.ump.edu.my/id/eprint/6175/1/PDF%252Fjcssp.2013.1496.1505.pdf

id	ump-6175
recordtype	eprints
spelling	ump-61752018-05-21T05:21:44Z http://umpir.ump.edu.my/id/eprint/6175/ A Review on the Development of Indonesian Sign Language Recognition System Jasni, Mohamad Zain Sutarman, na Mazlina, Abdul Majid QA75 Electronic computers. Computer science Sign language is mainly employed by hearing-impaired people to communicate with each other. However, communication with normal people is a major handicap for them since normal people do not understand their sign language. Sign language recognition is needed for realizing a human oriented interactive system that can perform an interaction like normal communication. Sign language recognition basically uses two approaches: (1) computer vision-based gesture recognition, in which a camera is used as input and videos are captured in the form of video files stored before being processed using image processing; (2) approach based on sensor data, which is done by using a series of sensors that are integrated with gloves to get the motion features finger grooves and hand movements. Different of sign languages exist around the world, each with its own vocabulary and gestures. Some examples are American Sign Language (ASL), Chinese Sign Language (CSL), British Sign Language (BSL), Indonesian Sign Language (ISL) and so on. The structure of Indonesian Sign Language (ISL) is different from the sign language of other countries, in that words can be formed from the prefix and or suffix. In order to improve recognition accuracy, researchers use methods, such as the hidden Markov model, artificial neural networks and dynamic time warping. Effective algorithms for segmentation, matching the classification and pattern recognition have evolved. The main objective of this study is to review the sign language recognition methods in order to choose the best method for developing the Indonesian sign language recognition system. Science Publications 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6175/1/PDF%252Fjcssp.2013.1496.1505.pdf Jasni, Mohamad Zain and Sutarman, na and Mazlina, Abdul Majid (2013) A Review on the Development of Indonesian Sign Language Recognition System. Journal of Computer Science, 9 (11). pp. 1496-1505. ISSN 1549-3636 http://thescipub.com/abstract/10.3844/jcssp.2013.1496.1505 DOI: 10.3844/jcssp.2013.1496.1505
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Jasni, Mohamad Zain Sutarman, na Mazlina, Abdul Majid A Review on the Development of Indonesian Sign Language Recognition System
description	Sign language is mainly employed by hearing-impaired people to communicate with each other. However, communication with normal people is a major handicap for them since normal people do not understand their sign language. Sign language recognition is needed for realizing a human oriented interactive system that can perform an interaction like normal communication. Sign language recognition basically uses two approaches: (1) computer vision-based gesture recognition, in which a camera is used as input and videos are captured in the form of video files stored before being processed using image processing; (2) approach based on sensor data, which is done by using a series of sensors that are integrated with gloves to get the motion features finger grooves and hand movements. Different of sign languages exist around the world, each with its own vocabulary and gestures. Some examples are American Sign Language (ASL), Chinese Sign Language (CSL), British Sign Language (BSL), Indonesian Sign Language (ISL) and so on. The structure of Indonesian Sign Language (ISL) is different from the sign language of other countries, in that words can be formed from the prefix and or suffix. In order to improve recognition accuracy, researchers use methods, such as the hidden Markov model, artificial neural networks and dynamic time warping. Effective algorithms for segmentation, matching the classification and pattern recognition have evolved. The main objective of this study is to review the sign language recognition methods in order to choose the best method for developing the Indonesian sign language recognition system.
format	Article
author	Jasni, Mohamad Zain Sutarman, na Mazlina, Abdul Majid
author_facet	Jasni, Mohamad Zain Sutarman, na Mazlina, Abdul Majid
author_sort	Jasni, Mohamad Zain
title	A Review on the Development of Indonesian Sign Language Recognition System
title_short	A Review on the Development of Indonesian Sign Language Recognition System
title_full	A Review on the Development of Indonesian Sign Language Recognition System
title_fullStr	A Review on the Development of Indonesian Sign Language Recognition System
title_full_unstemmed	A Review on the Development of Indonesian Sign Language Recognition System
title_sort	review on the development of indonesian sign language recognition system
publisher	Science Publications
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6175/ http://umpir.ump.edu.my/id/eprint/6175/ http://umpir.ump.edu.my/id/eprint/6175/ http://umpir.ump.edu.my/id/eprint/6175/1/PDF%252Fjcssp.2013.1496.1505.pdf
first_indexed	2023-09-18T22:01:44Z
last_indexed	2023-09-18T22:01:44Z
_version_	1777414443434508288

A Review on the Development of Indonesian Sign Language Recognition System

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