Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)

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American Sign Language (ASL) Recognition Using Convolutional Neural Network (CNN)

Authors
Gurleen Kaur1, Harshit Saini1, *, Mohd Jubair Alam1
1Department of Computer Science and Engineering, Chandigarh University, Mohali, India
*Corresponding author. Email: sainiharshit554@gmail.com
Corresponding Author
Harshit Saini
Available Online 19 April 2025.
DOI
10.2991/978-94-6463-700-7_15How to use a DOI?
Keywords
ASL Recognition; Convolutional Neural Network; Machine Learning; Deep Learning; Artificial Intelligence; Language
Abstract

Sign language is a natural language that emerged to fulfill the communication requirements of the Deaf community. It uses the visual-gestural modality, meaning that meaning is mostly communicated through the use of hands, facial expressions, and upper body motions. Sign language has changed and grown over time, just like all languages, to meet the ever-changing demands of its users. Current technological advancements offer fresh chances to enhance communication between Deaf individuals and non-sign language users, particularly in the domains of computer vision and artificial intelligence (AI). Language barrier reduction and improved clarity and efficiency in communication can be facilitated by these technologies, which allow for more accurate and rapid recognition of sign language motions. In order to develop models that can comprehend and recognize sign language, this research project looks into the application of AI and computer vision. To empower individuals with disabilities, the intention is to provide them with the means to express their ideas and opinions to a wider audience.

Copyright
© 2025 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 Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
Series
Advances in Intelligent Systems Research
Publication Date
19 April 2025
ISBN
978-94-6463-700-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-700-7_15How to use a DOI?
Copyright
© 2025 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  - Gurleen Kaur
AU  - Harshit Saini
AU  - Mohd Jubair Alam
PY  - 2025
DA  - 2025/04/19
TI  - American Sign Language (ASL) Recognition Using Convolutional Neural Network (CNN)
BT  - Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
PB  - Atlantis Press
SP  - 174
EP  - 186
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-700-7_15
DO  - 10.2991/978-94-6463-700-7_15
ID  - Kaur2025
ER  -