Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

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A Review on Sign Language Recognition Using CNN

Authors
Meena Ugale1, *, Odrin Rodrigues Anushka Shinde1, Kaustubh Desle1, Shivam Yadav1
1Department of Information Technology, Xavier Institute of Engineering, University of Mumbai, Mumbai, Maharashtra, India
*Corresponding author. Email: meena.u@xavier.ac.in
Corresponding Author
Meena Ugale
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_23How to use a DOI?
Keywords
Sign Language Recognition; Communication; Data Acquisition; Convolution Neural Network; Deep Learning
Abstract

In sign language, hand gestures are used as one type of non-verbal communication. Individuals with hearing or speech problems typically use it to communicate with others or among themselves. Many makers around the world have created numerous sign language systems. The software that shows a system prototype capable of automatically recognizing sign language to assist deaf and dumb individuals in communicating with each other or regular people more successfully. The study demonstrates that there is ongoing research in the field of vision-based hand gesture recognition, with various studies being undertaken and a large number of publications appearing every year in journals and conference proceedings. Data acquisition, data environment, and hand gesture representation are the three main areas of concentration in publications on the hand gesture recognition system. In terms of recognition precision, we have also analyzed how well the recognition system performs. The recognition accuracy for the signer dependent spans from 69% to 98%, with an average of 88.8% among the chosen experiments.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
10.2991/978-94-6463-136-4_23
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_23How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Meena Ugale
AU  - Odrin Rodrigues Anushka Shinde
AU  - Kaustubh Desle
AU  - Shivam Yadav
PY  - 2023
DA  - 2023/05/01
TI  - A Review on Sign Language Recognition Using CNN
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 251
EP  - 259
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_23
DO  - 10.2991/978-94-6463-136-4_23
ID  - Ugale2023
ER  -