Analogous sign language communication using gesture detection-Reference-Cited by-同舟云学术

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Analogous sign language communication using gesture detection

Published:2024-04 Issue: Volume: Page:1-13
ISSN:1448-837X
Container-title:Australian Journal of Electrical and Electronics Engineering
language:en
Short-container-title:Australian Journal of Electrical and Electronics Engineering

Author:

Agrawal Ayush Kumar¹^ORCID,Kumar Jayendra¹,Kumar Avanish²,Arvind Pratul³

Affiliation:

1. Department of Electronics and Communication Engineering, National Institute of Technology Jamshedpur, Jamshedpur, India

2. Department of Electrical Engineering, Delhi Technological University, Delhi, India

3. Department of Electrical & Electronics Engineering, Dr. Akhilesh Das Gupta Institute of Technology & Management, New Delhi, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/1448837X.2024.2337495

Reference30 articles.

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

2. Ajit, A., K. Acharya, and A. Samanta. 2020. “A Review of Convolutional Neural Networks.” 2020 International Conference on Emerging Trends in Information Technology and Engineering (Ic-ETITE), Vellore, India. 1–5.

3. Akkas, S., S. S. Maini, and J. Qiu. 2019. “A Fast Video Image Detection Using TensorFlow Mobile Networks for Racing Cars.” 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA. 5667–5672.

4. Deep Learning-Based Approach for Sign Language Gesture Recognition With Efficient Hand Gesture Representation

5. Deep Learning for Sign Language Recognition: Current Techniques, Benchmarks, and Open Issues

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