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Sign language recognition using deep learning through LSTM and CNN

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...

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Bibliographic Details
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
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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

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