Sign language recognition using deep learning through LSTM and CNN

• Main Authors: Kiran, Pandian, Mohd Azraai, Mohd Razman, Ismail, Mohd Khairuddin, Muhammad Amirul, Abdullah, Ahmad Fakhri, Ab. Nasir, Wan Hasbullah, Mohd Isa
• Format: Article
• Language: English
• Published: Penerbit UMP 2023
• Subjects: QA76 Computer software; TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/38079/1/Sign%20Language%20Recognition%20using%20Deep%20Learning%20through%20LSTM%20and%20CNN.pdf; http://umpir.ump.edu.my/id/eprint/38079/; https://doi.org/10.15282/mekatronika.v5i1.9410; https://doi.org/10.15282/mekatronika.v5i1.9410
• Institution: Universiti Malaysia Pahang

This study presents the application of using deep learning to detect, recognize and translate sign language. Understanding sign language is crucial for communication between the deaf and mute people and the general society. This helps sign language users to easily communicate with others, thus elimi...