Abstract: Isolated sign language recognition (SLR) is a long-standing research problem. The existing methods consider inclusively ambiguous data to represent a sign and ignore the fact that only ...

The Sign Language Recognition System (SLRS) is developed for a real-world scenario including 24 hand gestures, each representing a distinct letter (excluding letter J and Z). Each hand gesture is ...

Sign Language to Text Conversion is a real-time system that uses a camera to capture hand gestures and translates them into text, words, and sentences using Computer Vision and Machine Learning.

has received prestigious recognition in the 'Recognition for Accessible Service' category for its groundbreaking initiative 'SignLine'—a customer service solution in sign language designed for persons ...

said the paper is the first to show chimpanzees using several different mechanisms that are considered to be among the building blocks of language. He said the evidence does suggest that the ...

Pothalaiah, which explores a deep learning-based system for real-time sign language ... recognition engine. This capability underscores the effectiveness of deep learning in understanding non-verbal ...

Abstract: The substantial communication barriers faced by deaf or hard-of-hearing individuals who primarily use sign language create challenges ... systems that bridge this gap. A real-time sign ...

Hand gestures are powerful means of communication among humans and sign language is the most ... of a training dataset of gestures using Euclidian distance in the fourth stage. Least Euclidian ...