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    Real-time glove and android application for visual and audible Arabic sign language translation

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    Author
    Salem, Nema cc
    Alharbib, Saja
    Khezendarc, Raghdah
    Alshami, Hedaih
    Subject
    Sensory glove; Arabic Sign Language; Flex sensor, Accelerometer sensor; MIT inventor; Mobile application; Deaf and mute
    Date
    2019
    
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    Abstract
    Researchers can develop new systems to capture, analyze, recognize, memorize and interpret hand gestures with machine learning and sensors. Acoustic communication is a way to convey human opinions, feelings, messages, and information. Deaf and mute individuals communicate using sign language that is not understandable by everyone. Unfortunately, they face extreme difficulty in conveying their messages to others. To facilitate the communication between deaf/mute individuals and normal people, we propose a real-time prototype using a customized glove equipped with five flex and one-accelerometer sensors. These sensors are able to detect the bindings of the fingers and the movements of the hand. In addition, we developed an android mobile application to recognize the captured Arabic Sign Language (ArSL) gestures and translate them into displayed texts and audible sounds. The developed prototype is accurate, low cost and fast in response.
    Department
    Electrical and Computer Engineering
    Publisher
    Elsevier: Procedia computer science (163)
    DOI
    10.1016/j.procs.2019.12.128
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.procs.2019.12.128
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