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 ...

The project is part of SignLab Amsterdam – a cross facility research lab at the University of Amsterdam which aims to develop technology to translate text into sign language using animated avatars – ...

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 ...

A real-time facial expression recognition system built with CNN, TensorFlow, and OpenCV. It uses a webcam to detect faces and classify emotions like happiness, sadness, anger, and more.

These strategies ensured that the CNN model could accurately interpret gestures in various environments, making it more reliable for real-time sign language recognition ... Using tools like MediaPipe ...

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 ...

which could produce the opposite output — converting speech to sign language using a robotic hand. Computer Engineering students from De La Salle Lipa (DLSL) developed “VoiceGest: A Voice Recognition ...