Automated Indian sign language recognition system by fusing deep and handcrafted feature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-14084-4.pdf
Reference50 articles.
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3. Aly S, Aly W (2020) Deep ArSLR: A Novel Signer-Independent Deep Learning Framework for Isolated Arabic Sign Language Gestures Recognition. IEEE Access 8:83199–83212
4. Ansari MA, Singh DK (2019) An approach for human machine interaction using dynamic hand gesture recognition. In: 2019 IEEE Conference on Information and Communication Technology, pp 1–6. https://doi.org/10.1109/CICT48419.2019.9066173
5. Aparna C, Geetha M (2020) CNN and stacked LSTM model for Indian sign language recognition. Machine Learning and Metaheuristics Algorithms, and Applications, 126–134. https://doi.org/10.1007/978-981-15-4301-2_10
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