Comparison of Image-Based and Skeleton-Based ML Methods in the Task of Alphabetical Sign Language Recognition
Ivan Wanjaya, Игорь Андреевич Гончаренко, Yanlei Gu · 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech) · 2022
Hand sign language has played a significant role in bridging connections between different people with different cultures and backgrounds. A current problem is that hand sign languages are not highly accessible to many people. This paper proposes a skeleton-based machine learning (ML) system that provides very accurate alphabetical sign language recognition in real time.