Sign language video to text conversion via optimised LSTM with improved motion estimation-Reference-Cited by-同舟云学术

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Sign language video to text conversion via optimised LSTM with improved motion estimation

Published:2024-07-23 Issue: Volume: Page:1-20
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

S Subburaj¹,S Murugavalli²,B Muthusenthil³

Affiliation:

1. Department of Computer Science and Engineering, Anna University, Guindy, Chennai, Tamil Nadu, India

2. Department of Computer Science Engineering, Panimalar Engineering College Chennai City Campus, Chennai, Tamil Nadu, India

3. Department of Computer Science Engineering, SRM Valliammai Engineering College, SRM Nagar, Kattankulathur, Tamil Nadu, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2024.2380991

Reference35 articles.

1. Real time conversion of sign language to speech and prediction of gestures using Artificial Neural Network

2. Skeletonization Algorithm for Binary Images

3. A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition

4. Based on wearable sensory device in 3D-printed humanoid: A new real-time sign language recognition system

5. Novel meta-heuristic bald eagle search optimisation algorithm

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