Real-time fingerspelling video recognition achieving 92.7% letter accuracy on FSBoard
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Updated
Nov 9, 2025 - Python
Real-time fingerspelling video recognition achieving 92.7% letter accuracy on FSBoard
✌ Annotated dataset of Auslan Alphabet Images
🧏 Detection of the alphabets in American Sign Language (ASL).
Bachelor’s Degree Final Project - Research on Sign Language Translation, advised by Prof. Yoav Goldberg and Mr. Amit Moryossef
Detect and Translate American Sign Language (ASL) fingerspelling into text.
A Web Based System that is made for a sign language translator model that is created using GLCM-CNN. This Site also features a fingerspelling page that teaches about signing the alphabet
A system that recognizes and provides feedback on the hand movements and position involved in fingerspelling
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