Abstract:In this paper, we present a finger-spelling recognition system that is based on Thai Sign Language (TFS) and employs a deep learning model called vision transformer. We extracted the 15 characters of the Thai alphabet from publicly available and our collected datasets to establish the recognition system. To train the learning model, we employed four EVA-02 vision transformer models, each of which showed impressive performance across different model sizes. We conducted four experiments to determine the most eff… Show more
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