A Novel Design and Implementation of a Smart Glove for Arabic SLR System Based on the Statistical Analysis of the Arabic Sign Language | ||||
| Engineering Research Journal (Shoubra) | ||||
| Volume 42, Issue 1, October 2019, Page 56-67 PDF (1.74 MB) | ||||
| Document Type: Research articles | ||||
| DOI: 10.21608/erjsh.2019.406488 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Mina I. Sadek* ; Michael N. Mikhael; Hala A. Mansour | ||||
| Faculty of Engineering at shoubra, Benha University, Cairo, Egypt. | ||||
| Abstract | ||||
| There are more than 10 million deaf people in the Arab nations presently—Egypt alone accounts for 4 million deaf people. Hence, an Arabic sign language is necessary for facilitating communication between the hearing-impaired people and the larger society. However, everyone does not understand this language. Furthermore, the previous systems were designed for SLR, which were extremely expensive, and several sensors were required to interpret all hand and finger motions. For these reasons, a new prototype of the smart glove is produced, which can be used as a part of an electronic system to translate the Arabic sign language into a spoken or written Arabic. This design includes all Arabic sign language signs (words level) by using 4-flex sensors, 4-contact pad sensor, gyroscope, and accelerometer, controller, and Bluetooth Module per hand. The design is driven from a statistical analysis of the Arabic sign language – 1300 words in terms of single hand signs, double hand signs, single-stage signs, multi-stage signs, fingers angle, and orientation. This paper explores the design analysis and implementation of this system. The result of the (53words) samples of Arabic SL signs (involving all classification) is 85% pass from the first time and 15% pass after many trials (double-hand multi-stage signs classification) due to the synchronisation problem of the two hands data. The system is low cost, requires low power, and has a fast response. | ||||
| Keywords | ||||
| sign language; smart gloves; embedded system; Arabic SLR; deaf people | ||||
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