Open Access

ARTICLE

Japanese Sign Language Recognition by Combining Joint Skeleton-Based Handcrafted and Pixel-Based Deep Learning Features with Machine Learning Classification

Jungpil Shin^1,*, Md. Al Mehedi Hasan², Abu Saleh Musa Miah¹, Kota Suzuki¹, Koki Hirooka¹

1 School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, 965-8580, Japan
2 Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh

* Corresponding Author: Jungpil Shin. Email: