Wireless data gloves Malay sign language recognition system

This paper describes the structure and algorithm of the whole Wireless Bluetooth Data Gloves Sign Language Recognition System, which is defined as a Human-Computer Interaction (HCI) system. This project is based on the need of developing an electronic device that can translate sign language into spe...

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Main Authors: Tan, Tian Swee, Ariff, Ahmad Kamarul, Shaikh Salleh, Sheikh Hussain, Siew, Kean Seng, Leong, Seng Huat
Format: Conference or Workshop Item
Language:en
Published: 2007
Subjects:
Online Access:http://eprints.utm.my/7632/1/Sheikh_Hussain_Shaikh_2007_Wireless_Data_Gloves_Malay_Sign.pdf
http://eprints.utm.my/7632/
http://dx.doi.org/10.1109/ICICS.2007.4449599
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_version_ 1845471847436517376
author Tan, Tian Swee
Ariff, Ahmad Kamarul
Shaikh Salleh, Sheikh Hussain
Siew, Kean Seng
Leong, Seng Huat
author_facet Tan, Tian Swee
Ariff, Ahmad Kamarul
Shaikh Salleh, Sheikh Hussain
Siew, Kean Seng
Leong, Seng Huat
author_sort Tan, Tian Swee
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description This paper describes the structure and algorithm of the whole Wireless Bluetooth Data Gloves Sign Language Recognition System, which is defined as a Human-Computer Interaction (HCI) system. This project is based on the need of developing an electronic device that can translate sign language into speech (sound) in order to make the communication take place between the mute & deaf community with the general public possible. Hence, the main objective of this project is to develop a system that can convert sign language into speech so that deaf people are able to communicate efficiently with normal people. This Human-Computer Interaction system is able to recognize 25 common words signing in Bahasa Isyarat Malaysia (BIM) by using Hidden Markov Models (HMM) methods. Both hands are involved in performing the BIM with all the sensor connecting wirelessly to PC with Bluetooth module. In the future, the system can be shrunk to become a stand alone system without any interaction with PC.
format Conference or Workshop Item
id my.utm.eprints-7632
institution Universiti Teknologi Malaysia
language en
publishDate 2007
record_format eprints
spelling my.utm.eprints-76322010-06-01T15:54:08Z http://eprints.utm.my/7632/ Wireless data gloves Malay sign language recognition system Tan, Tian Swee Ariff, Ahmad Kamarul Shaikh Salleh, Sheikh Hussain Siew, Kean Seng Leong, Seng Huat R Medicine (General) This paper describes the structure and algorithm of the whole Wireless Bluetooth Data Gloves Sign Language Recognition System, which is defined as a Human-Computer Interaction (HCI) system. This project is based on the need of developing an electronic device that can translate sign language into speech (sound) in order to make the communication take place between the mute & deaf community with the general public possible. Hence, the main objective of this project is to develop a system that can convert sign language into speech so that deaf people are able to communicate efficiently with normal people. This Human-Computer Interaction system is able to recognize 25 common words signing in Bahasa Isyarat Malaysia (BIM) by using Hidden Markov Models (HMM) methods. Both hands are involved in performing the BIM with all the sensor connecting wirelessly to PC with Bluetooth module. In the future, the system can be shrunk to become a stand alone system without any interaction with PC. 2007-12 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/7632/1/Sheikh_Hussain_Shaikh_2007_Wireless_Data_Gloves_Malay_Sign.pdf Tan, Tian Swee and Ariff, Ahmad Kamarul and Shaikh Salleh, Sheikh Hussain and Siew, Kean Seng and Leong, Seng Huat (2007) Wireless data gloves Malay sign language recognition system. In: Information, Communications & Signal Processing, 2007 6th International Conference, 10-13 Dec 2007, Singapore. http://dx.doi.org/10.1109/ICICS.2007.4449599
spellingShingle R Medicine (General)
Tan, Tian Swee
Ariff, Ahmad Kamarul
Shaikh Salleh, Sheikh Hussain
Siew, Kean Seng
Leong, Seng Huat
Wireless data gloves Malay sign language recognition system
title Wireless data gloves Malay sign language recognition system
title_full Wireless data gloves Malay sign language recognition system
title_fullStr Wireless data gloves Malay sign language recognition system
title_full_unstemmed Wireless data gloves Malay sign language recognition system
title_short Wireless data gloves Malay sign language recognition system
title_sort wireless data gloves malay sign language recognition system
topic R Medicine (General)
url http://eprints.utm.my/7632/1/Sheikh_Hussain_Shaikh_2007_Wireless_Data_Gloves_Malay_Sign.pdf
http://eprints.utm.my/7632/
http://dx.doi.org/10.1109/ICICS.2007.4449599
url_provider http://eprints.utm.my/