Art

J-GLOBAL ID：202402220574718462   Reference number：24A0227647

Image-Based Arabic Sign Language Recognition System Using Transfer Deep Learning Models

転送深層学習モデルを用いた画像ベースアラビア語手話認識システム【JST・京大機械翻訳】

Author (4)： Bani Baker Qanita (Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan) ,  Alqudah Nour (Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan) ,  Alsmadi Tibra (Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan) ,  Awawdeh Rasha (Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan)
Material： Applied Computational Intelligence and Soft Computing (Web)
Volume： 2023  Page： Null  Publication year： 2023 
JST Material Number： U7679A  ISSN： 1687-9724  Document type： Article
Article type： 原著論文  Country of issue： United Kingdom (GBR)  Language： ENGLISH (EN)

Abstract/Point： Sign language is a unique comm...

Register(free) or Log In to access     To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=24A0227647&from=J-GLOBAL&jstjournalNo=U7679A") }}

Thesaurus term： visual sense ,  auditory sense ,  *pattern recognition ,  *learning model ,  language ,  recognition ,  *oriental language ,  *model ,  body region ,  computer vision ,  robustness ,  *machine learning
Semi thesaurus term： *アラビア語 ,  *手話認識 ,  コミュニケーションツール ,  言語認識 ,  *深層学習 ,  顔表情 ,  畳込みニューラルネットワーク , 【Automatic Indexing@JST】

JST classification (2)： Natural language processing  (JE06000L) ,  Pattern recognition  (JE07000S)

Reference (49)：

• A. M. Lieberman, A. Borovsky, R. I. Mayberry, "Prediction in a visual language: real-time sentence processing in american sign language across development," Language, cognition and neuroscience, vol. 33, no. 4, pp. 387-401, 2018.
• K. Al-Fityani, C. Padden, "Sign Language Geography in the arab World," Sign languages: A Cambridge survey, pp. 433-450, Cambridge University Press, Cambridge, UK, 2010.
• A. A. I. Sidig, H. Luqman, S. A. Mahmoud, "Arabic sign language recognition using optical flow-based features and hmm," Recent Trends in Information and Communication Technology: Proceedings of the 2nd International Conference of Reliable Information and Communication Technology (IRICT 2017), pp. 297-305, Springer, Singapore, 2018.
• H. Luqman, S. A. Mahmoud, "Automatic translation of Arabic text-to-Arabic sign language," Universal Access in the Information Society, vol. 18, no. 4, pp. 939-951, 2019.
• A. A. I. Sidig, H. Luqman, S. A. Mahmoud, "Transform-based Arabic sign language recognition," Procedia Computer Science, vol. 117, pp. 2-9, 2017.

Terms in the title (5)： 転送 ,  深層学習 ,  モデル ,  アラビア語 ,  手話認識