Sign Language Detection

Sign Language Detection

Sayali Patil1, Pratiksha Bhalke2, Madhura Mokashi3, Mohini Bhojkar4, Shreyas Divase5

Prof. N. A. Haval6

1,2,3,4,5 Department of Computer Science and Engineering, D. Y. Patil College of Engineering and Technology, Kolhapur, Maharashtra, India

6 Department of Computer Science and Engineering, D. Y. Patil College of Engineering and Technology, Kolhapur, Maharashtra, India

Abstract:

Sign language serves as the primary mode of communication for millions of individuals worldwide with hearing impairments. Despite its importance, the availability of sign language interpretation services remains limited, contributing to significant communication barriers. To address this challenge, we propose the development of a web application leveraging state-of-the-art deep learning techniques for real-time sign language detection and translation.

Key words : Sign language recognition, Gesture recognition, Machine learning algorithms, Human-computer interaction, Hand pose estimation, Image processing