Sign Language Recognition-Based Machine Learning Model for Hearing Disabilities Person

Author:

Bakariya Brijesh

Publisher

Springer Nature Singapore

Reference7 articles.

1. Camgoz, N. C., et al. (2020). Sign language transformers: joint end-to-end sign language recognition and translation. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

2. Cheok, M. J., & Omar, Z. (2019). A review of hand gesture and sign language recognition techniques. International Journal of Machine Learning and Cybernetics, 10(1), 131–153.

3. Enikeev, D. G., & Mustafina, S. A. (2021). Sign language recognition through leap motion controller and input prediction algorithm. J Phys Conf Ser, 1715(1), 012008.

4. Wadhawan, A., & Kumar, P. (2021). Sign language recognition systems: A decade systematic literature review. Archives of Computational Methods in Engineering, 28(3), 785–813.

5. Abiyev, R. H., Arslan, M., & Idoko, J. B. (2020). Sign language translation using deep convolutional neural networks. KSII Transactions on Internet and Information Systems, 14(2), 631–653.

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