Automated Indian sign language recognition system by fusing deep and handcrafted feature-Reference-Cited by-同舟云学术

Automated Indian sign language recognition system by fusing deep and handcrafted feature

Published:2022-10-29 Issue:11 Volume:82 Page:16905-16927
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Das Soumen^ORCID,Biswas Saroj Kr,Purkayastha Biswajit

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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