My undergraduate Final Year Project awarded as the Excellent Bachelor’s Project. It develops a vision-based sign language recognition system with multiple machine-learning models, which currently can recognize 10 static and 2 dynamic gesutures in ASL with testing accuracy of 99.68%. Project Abstract Majority of deaf-and-mute people use sign language produced by body actions such asContinue reading “Hand Gesture Recognition for Sign Language”