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Text to Sign Language Translator –Two Implementations
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 2 |
| Year of Publication: 2025 |
| Authors: Durgadevi Yenuganti, Nikhitha Kasha, Pavan Subhash Chandrabose Nara, Suhair Amer |
10.5120/ijca2025924804
|
Durgadevi Yenuganti, Nikhitha Kasha, Pavan Subhash Chandrabose Nara, Suhair Amer . Text to Sign Language Translator –Two Implementations. International Journal of Computer Applications. 187, 2 ( May 2025), 55-61. DOI=10.5120/ijca2025924804
Abstract
This paper presents a comparative analysis of the projects of two students projects focused on developing text-to-American Sign Language (ASL) finger spelling translation systems. Both projects successfully convert English text into corresponding ASL hand shape images, but they differ in their technological approaches and implementation complexities. Project 1 utilizes PHP for a simpler implementation, while Project 2 employs Python and Flask for a more robust and scalable solution. The comparison highlights the diverse approaches and technologies that can be employed for sign language translation, emphasizing the importance of user-centered design and evaluation in developing accessible technologies for the Deaf community. The evaluations of both projects, while differing in methodology, reveal positive user experiences and identify areas for improvement, such as handling special characters and incorporating additional features. The students completed the development in one month as an end of semester project.
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