Akmeliawati, Rini and Bailey, Donald and Bilal, Sara Mohammed Osman Saleh and Demidenko, Serge and Gamage, Nuwan and Khan , Shujjat and Ye, Chow Kuang and Ooi, Melani and Gupta, Gourab Sen (2014) Assistive technology for relieving communication lumber between hearing/speech impaired and hearing people. The Journal of Engineering. pp. 1-12. ISSN 2051-3305
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Abstract
This study proposes an automatic sign language translator, which is developed as assistive technology to help the hearing/speech impaired communities to communicate with the rest of the world. The system architecture, which includes feature extraction and recognition stages is described in detail. The signs are classified into two types: static and dynamic. Various types of sign features are presented and analysed. Recognition stage considers the hidden Markov model and segmentation signature. Real-time implementation of the system with the use of Windows7 and LINUX Fedora 16 operating systems with VMware workstation is presented in detail. The system has been successfully tested on Malaysian sign language.
Item Type: | Article (Journal) |
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Additional Information: | 5806/37035 |
Uncontrolled Keywords: | Linux; virtual machines; language translation; handicapped aids; assisted living; feature extraction; sign language recognition; hearing; hidden Markov models |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Mechanical Engineering |
Depositing User: | Prof. Dr. Rini Akmeliawati |
Date Deposited: | 25 Jun 2014 15:35 |
Last Modified: | 13 Jun 2018 10:20 |
URI: | http://irep.iium.edu.my/id/eprint/37035 |
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