Gesture Recognition of Filipino Sign Language Using Convolutional and Long Short-Term Memory Deep Neural Networks

In response to the recent formalization of Filipino Sign Language (FSL) and the lack of comprehensive studies, this paper introduces a real-time FSL gesture recognition system. Unlike existing systems, which are often limited to static signs and asynchronous recognition, it offers dynamic gesture ca...

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主要な著者:	Karl Jensen Cayme, Vince Andrei Retutal, Miguel Edwin Salubre, Philip Virgil Astillo, Luis Gerardo Cañete, Gaurav Choudhary
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-07-01
シリーズ:	Knowledge
主題:	computer vision CNN-LSTM deep learning Filipino sign language image processing sign language recognition system
オンライン･アクセス:	https://www.mdpi.com/2673-9585/4/3/20
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