Sign Language Detection with Voice Command
Year: 2024
Type: article
Abstract: The process of recognizing and deciphering the movements, gestures, and symbols used in sign language is known as sign language detection. This device facilitates communication between those who are deaf or hard of hearing and those who are not familiar with sign language. It functions by examining video footage and identifying important elements such as body language, face expressions, and hand and arm movements. Using machine learning, particularly convolutional neural networks, signs and gestures may be classified with 95–98% accuracy. Its utility can be increased by including record and history tabs, and the dataset can be modified to accommodate various sign languages. This technology has the potential to significantly enhance communication and education for those who are hard of hearing
Authors: Prof. H S. Borse, Kadlag Dhanashri Ramesh, Gitanjali Ramesh Date, Charoskar Priti Sharad, Harshada Vijay Avhad
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403732716