This study adopts a comparative approach to analyze the performance of three major models in object detection, namely Detectron2, YOLOv5, and YOLOv9, to validate use case diagrams. These three models ...

People are only able to communicate through the use of sign language. It is possible to translate sign languages into a form that can be used for public communication. To this end, we will develop a ...

These elements of chimpanzee communication, described in a study published Friday in the journal Science Advances, resemble some of the fundamental building blocks of human language. Scientists ...

Pothalaiah, which explores a deep learning-based system for real-time sign language detection. Their study integrates computer ... At the core of this system lies the use of a Convolutional Neural ...

Hand gestures are powerful means of communication among humans and sign language is the most natural ... Fang [4] proposed a robust real-time hand gesture recognition method which is based on hand ...

This is a real-time sign language letter detection tool that uses a trained TensorFlow model to interpret hand gestures into alphabet letters. It utilizes hand landmark data captured via MediaPipe and ...