A novel approach for detecting real-time Indian sign language using deep learning

Author:

Mapari Abdullah Kadar,Raghuwanshi Mayank,Moraskar Sarvesh,Khade Anindita A.

Publisher

AIP Publishing

Reference12 articles.

1. National Programme for the Prevention & Control of Deafness (NPPCD), Available at: https://nhm.gov.in/index1.php?lang=1&level=2&sublinkid=1051&lid=606

2. S. Dhivyasri, H. K. B Krishnaa, M. Akash, M. Sona, S. Divyapriya, V. Krishnaveni, “An Efficient Approach for Interpretation of Indian Sign Language using Machine Learning”, 2021 3rd International Conference on Signal Processing and Communication (ICPSC 2021), IEEE, 2021.

3. E. Juhi, J. Mahasweta (2017). “Indian sign language recognition using ANN and SVM classifiers”, International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS 2017). IEEE, 2017.

4. U. Patel, G. Aarti, Ambekar, “Moment Based Sign Language Recognition for Indian Languages”, International Conference on Computing, Communication, Control and Automation (ICCUBEA 2017). IEEE, 2017.

5. P. B. Chaitanya, V. Kulkarni, “Artificial Neural Network based Indian Sign Language Recognition using hand crafted features”, 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT 2020). IEEE, 2020.

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