like American Sign Language. This project allows users to learn the ASL alphabet with the help of computer vision and some machine learning algorithms. The build uses a computer vision model in ...

A new study on real-time American Sign Language recognition using MediaPipe and YOLOv8 achieves 98 % accuracy, enhancing ...

When we think about breaking down communication barriers, we often focus on language translation apps or voice assistants.

The study employed a two-step methodology using YOLOv8 and MediaPipe for real-time recognition of American Sign Language (ASL) alphabet gestures. Initially, YOLOv8 was used to detect and localize ...

A study is the first-of-its-kind to recognize American Sign Language (ASL) alphabet gestures using computer vision. Researchers developed a custom dataset of 29,820 static images of ASL hand gestures.