Real-time fingerspelling video recognition achieving 74.4% letter accuracy on ChicagoFSWild+
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Updated
Nov 10, 2020 - Python
Real-time fingerspelling video recognition achieving 74.4% letter accuracy on ChicagoFSWild+
✌ 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
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