Malay sign language gesture recognition system
This paper describes hardware design and sensors setting and configuration for Malay Sign Language Gesture Recognition systems. A set of sensors consists of accelerometers and flexure sensors has been setup to capture the movement or gesture of shoulder, elbow, wrist, palm and fingers. This project...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://eprints.utm.my/7629/ http://eprints.utm.my/7629/1/Sheikh_Hussain_Shaikh_2007_Malay_Sign_Language_Gesture_Recognition.pdf |
| _version_ | 1848891508078411776 |
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| author | Tan, Tian Swee Shaikh Salleh, Sheikh Hussain Ariff, Ahmad Kamarul Ting, Chee Ming Siew, Kean Seng Leong, Seng Huat |
| author_facet | Tan, Tian Swee Shaikh Salleh, Sheikh Hussain Ariff, Ahmad Kamarul Ting, Chee Ming Siew, Kean Seng Leong, Seng Huat |
| author_sort | Tan, Tian Swee |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | This paper describes hardware design and sensors setting and configuration for Malay Sign Language Gesture Recognition systems. A set of sensors consists of accelerometers and flexure sensors has been setup to capture the movement or gesture of shoulder, elbow, wrist, palm and fingers. This project is based on the need of developing an electronic device that can translate the sign language into speech (sound) in order to enable communication to take place between the mute and deaf community with the common public. Hence, the main objective of this project is to develop a system that can convert the 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 the Hidden Markov Models (HMM) method. Both hands are involved to perform the BIM with all the sensors connect wirelessly to a PC with a Bluetooth module. This project aims to capture the hand gestures which involve multiple axis of movement. Altogether 24 sensors have been setup in different hand locations to capture hand and wrist movement in different directions. |
| first_indexed | 2025-11-15T20:59:05Z |
| format | Conference or Workshop Item |
| id | utm-7629 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:59:05Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-76292017-10-12T03:53:03Z http://eprints.utm.my/7629/ Malay sign language gesture recognition system Tan, Tian Swee Shaikh Salleh, Sheikh Hussain Ariff, Ahmad Kamarul Ting, Chee Ming Siew, Kean Seng Leong, Seng Huat TK Electrical engineering. Electronics Nuclear engineering This paper describes hardware design and sensors setting and configuration for Malay Sign Language Gesture Recognition systems. A set of sensors consists of accelerometers and flexure sensors has been setup to capture the movement or gesture of shoulder, elbow, wrist, palm and fingers. This project is based on the need of developing an electronic device that can translate the sign language into speech (sound) in order to enable communication to take place between the mute and deaf community with the common public. Hence, the main objective of this project is to develop a system that can convert the 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 the Hidden Markov Models (HMM) method. Both hands are involved to perform the BIM with all the sensors connect wirelessly to a PC with a Bluetooth module. This project aims to capture the hand gestures which involve multiple axis of movement. Altogether 24 sensors have been setup in different hand locations to capture hand and wrist movement in different directions. 2007-11 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/7629/1/Sheikh_Hussain_Shaikh_2007_Malay_Sign_Language_Gesture_Recognition.pdf Tan, Tian Swee and Shaikh Salleh, Sheikh Hussain and Ariff, Ahmad Kamarul and Ting, Chee Ming and Siew, Kean Seng and Leong, Seng Huat (2007) Malay sign language gesture recognition system. In: Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference, 25-28 Nov 2007, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ICIAS.2007.4658532 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Tan, Tian Swee Shaikh Salleh, Sheikh Hussain Ariff, Ahmad Kamarul Ting, Chee Ming Siew, Kean Seng Leong, Seng Huat Malay sign language gesture recognition system |
| title | Malay sign language gesture recognition system |
| title_full | Malay sign language gesture recognition system |
| title_fullStr | Malay sign language gesture recognition system |
| title_full_unstemmed | Malay sign language gesture recognition system |
| title_short | Malay sign language gesture recognition system |
| title_sort | malay sign language gesture recognition system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/7629/ http://eprints.utm.my/7629/ http://eprints.utm.my/7629/1/Sheikh_Hussain_Shaikh_2007_Malay_Sign_Language_Gesture_Recognition.pdf |