Real-Time Sign Language Recognition using a Multimodal Deep Learning Approach-Reference-Cited by-同舟云学术

Real-Time Sign Language Recognition using a Multimodal Deep Learning Approach

Published:2023-05-25 Issue: Volume: Page:
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Container-title:2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Amutha S¹,Shanmukh Nakkella¹,Naidu A V S R Pavan¹,Kumar Purini Vinod¹,Narayana G Sri Satya¹

Affiliation:

1. Kalasalingam Academy of Research and Education,Department of Computer Science and Engineering,Virudhnagar, Madurai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10199113/10199175/10199569.pdf?arnumber=10199569

Reference15 articles.

1. Sign language recognition system based on CNN and bidirectional RNN;pu;IOP Conference Series: Materials Science and Engineering,2019

2. Real-time Vietnamese sign language recognition using CNN and RNN;phan;International Journal of Advanced Computer Science and Applications,2020

3. Sign Language Recognition with Spatial-Temporal Attention and Gated Convolutional Recurrent Neural Networks;zhu;IEEE Transactions on Human-Machine Systems,2019

4. RGB-D sign language recognition based on CNN and LSTM;yang,2019

5. Sign Language Recognition Based on CNN and LSTM Networks;liu,2021

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