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    ARTICLE

    ASL Recognition by the Layered Learning Model Using Clustered Groups

    Jungsoo Shin, Jaehee Jung*

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 51-68, 2023, DOI:10.32604/csse.2023.030647

    Abstract American Sign Language (ASL) images can be used as a communication tool by determining numbers and letters using the shape of the fingers. Particularly, ASL can have an key role in communication for hearing-impaired persons and conveying information to other persons, because sign language is their only channel of expression. Representative ASL recognition methods primarily adopt images, sensors, and pose-based recognition techniques, and employ various gestures together with hand-shapes. This study briefly reviews these attempts at ASL recognition and provides an improved ASL classification model that attempts to develop a deep learning method with meta-layers. In the proposed model, the… More >

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