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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Muhammad Amir As'ari, Nur Anis Jasmin Sufri, Guat Si Qi
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Universitas Ahmad Dahlan 2024-02-01
Sarja:	IJAIN (International Journal of Advances in Intelligent Informatics)
Aiheet:	sign language bidirectional long short term memory convolutional neural networks
Linkit:	http://ijain.org/index.php/IJAIN/article/view/1170
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