Multi-modal Deep Learning Approach to Improve Sentence level Sinhala Sign Language Recognition
H. H. S. N. Haputhanthri,
H. M. N. Tennakoon,
M. A. S. M. Wijesekara
et al.
Abstract:Sign language is used across the world for communication purposes within hearing-impaired communities. Hearing people are not well versed in sign language and most hearing-impaired are not good in general text, creating a communication barrier. Research on Sign Language Recognition (SLR) systems have shown admirable solutions for this issue. In Sri Lanka, machine learning along with neural networks has been the prominent domain of research in Sinhala SLR. All previous research is mainly focused on word-level S… Show more
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