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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tan Tian Swee Ariff, A.K. Salleh, S.-H. Siew Kean Seng Leong Seng Huat |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. Teknologi Malaysia, Skudai (Tan Tian Swee; Ariff, A.K.; Salleh, S.-H.; Siew Kean Seng; Leong Seng Huat) |
| Abstract | 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. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 261744 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424409822 |
| DOI | 10.1109/ICICS.2007.4449599 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-12-10 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data gloves Handicapped aids Hidden Markov models Accelerometers Deafness Bluetooth Immune system Voltage Vector quantization Speech insert (keywords) component formatting style styling |
| Content Type | Text |
| Resource Type | Article |
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