Sign Language Interpretation Using Deep Learning-Reference-Cited by-同舟云学术

Sign Language Interpretation Using Deep Learning

Published:2023 Issue: Volume: Page:692-703
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Suguna Mallika S.^ORCID,Sanjana A.^ORCID,Vani Gayatri A.^ORCID,Veena Naga Sai S.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-36402-0_64

Reference23 articles.

1. Bantupalli, K., Xie, Y.: American sign language recognition using deep learning and computer vision. In: 2018 IEEE International Conference on Big Data (Big Data), pp. 4896–4899. IEEE (2018). https://doi.org/10.1109/BigData.2018.8622141

2. Cabrera, M.E., Bogado, J.M., Fermin, L., Acuna, R., Ralev, D.: Glove-based gesture recognition system. In: Adaptive Mobile Robotics, pp. 747–753 (2012). https://doi.org/10.1142/9789814415958_0095

3. He, S.: Research of a sign language translation system based on deep learning. In: 2019 International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), pp. 392–396. IEEE (2019). https://doi.org/10.1109/AIAM48774.2019.00083. International Conference on Trendz in Information Sciences and Computing (TISC 2012)

4. Herath, H.C.M., Kumari, W.A.L.V., Senevirathne, W.A.P.B., Dissanayake, M.B.: Image based sign language recognition system for Sinhala sign language. Sign 3(5), 2 (2013)

5. Geetha, M., Manjusha, U.C.: A vision based recognition of Indian sign language alphabets and numerals using b-spline approximation. Int. J. Comput. Sci. Eng. 4(3), 406–415 (2012)

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