Emergency sign language recognition from variant of convolutional neural network (CNN) and long short term memory (LSTM) models

Emergency sign language recognition from variant of convolutional neural network (CNN) and long short term memory (LSTM) models

Sign language is the primary communication tool used by the deaf community and people with speaking difficulties, especially during emergencies. Numerous deep learning models have been proposed to solve the sign language recognition problem. Recently. Bidirectional LSTM (BLSTM) has been proposed and...

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Bibliographic Details
Main Authors: Muhammad Amir As'ari, Nur Anis Jasmin Sufri, Guat Si Qi
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2024-02-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
sign language
bidirectional long short term memory
convolutional neural networks
Online Access:http://ijain.org/index.php/IJAIN/article/view/1170

Internet

http://ijain.org/index.php/IJAIN/article/view/1170

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