Vision Based Hybrid CNN-LSTM Model for American Sign Language Recognition

Ng, Ming Li (2023) Vision Based Hybrid CNN-LSTM Model for American Sign Language Recognition. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

Sign Language is widely used by deaf or mute people in daily face to face communication. However, people who did not learn sign language is having hard time to understand them while they suffer from trying to convey simple message to us. A method to solve the communication problem between non-sign language user and sign language user is needed. In this project, a system is proposed which is the Computer Vision based American Sign Language recognition system using Convolutional Neural Network follow with Recurrent Neural Network.