This approach demonstrated high recognition performance, particularly for American Sign Language (ASL) gestures, showcasing the potential of CNNs in gesture recognition tasks [1]. Another ...
They developed a custom dataset of 29,820 static images of American Sign Language hand gestures. Using MediaPipe, each image was annotated with 21 key landmarks on the hand, providing detailed ...
This project proposes a model for integrating rubrical gestures while praying the Eucharistic Prayer in sign language. Eucharistic Prayer II is chosen as the base text, focusing especially on its ...
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Computer Vision-Based Recognition of American Sign LanguageCombining MediaPipe for hand movement tracking with YOLOv8 for training resulted in a powerful system for recognizing American Sign Language alphabet gestures with high accuracy. Combining ...
City council agreed this week to acquire technology to help staff and politicians understand American Sign Language ...
Dec. 16, 2024 — 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 ...
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