This study focuses on real-time hand gesture recognition in the Turkish sign language
detection system. YOLOv4-CSP based on convolutional neural network (CNN), a state-of …

Sign language is the most common communication mode of deaf and mute community.
However, hearing people do not generally know this language. So, an automatic sign …

Some varieties of sign languages are used by deaf or hard-of-hearing people worldwide to
interact with others more effectively, consequently sign language's automatic translation is …

Sign language recognition can help hearing and speech impaired persons to communicate
with the rest of the world. Hand gesture recognition is widely used in the entertainment …

To better meet the communication needs of hearing impaired people and the public, it is of
great significance to recognize sign language more quickly and accurately on embedded …

Sign Language is globally used by more than 70 million impaired people to communicate
and is characterized by fast, highly articulate motion of hand gesture which is difficult for …

Sign language is one of the ways of communication that is used by people who are unable
to speak or hear (deaf and mute), so not all people are able to understand this language …

Sign language is a system of communication using visual gestures and signs, and is
generally used by people who have speech or hearing difficulties. To make those people …

Hand gesture recognition is important in human-machine interaction (HMI), enabling
interaction with the systems without physically touching them. But current methodologies …

Sign language is an extremely important communication tool for many deaf and mute
people. So we proposed a model to recognize sign gestures using YOLOv5 (You only look …