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Real-Time ASL Translation Using AI by Sandhi Wirawan is a document available to read on EtoBox.

Researchers at Florida Atlantic University have developed a real-time American Sign Language (ASL) translation system that achieves 98.2% accuracy using AI, specifically combining YOLOv11 for classification and MediaPipe for hand tracking. This innovative technology addresses challenges like gesture similarity and varying environmental conditions, making it a practical solution for enhancing communication for the deaf and hard-of-hearing community. Future developments aim to expand the system

Author
Sandhi Wirawan
Language
EN