Industry 4.0-Oriented Deep Learning Models for Human Activity Recognition

According to the Industry 4.0 vision, humans in a smart factory, should be equipped with formidable and seamless communication capabilities and integrated into a cyber-physical system (CPS) that can be utilized to monitor and recognize human activity via artificial intelligence (e.g., deep learning)...

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Detalles Bibliográficos
Autores principales:	Saeed Mohsen, Ahmed Elkaseer, Steffen G. Scholz
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Deep learning convolutional neural network (CNN) long short-term memory (LSTM) human activity recognition Industry 4.0 Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/bb6dc818c9354e2c892c56a200131b9b
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Industry 4.0-Oriented Deep Learning Models for Human Activity Recognition

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