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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Veröffentlicht in:	IEEE access 2021, Vol.9, p.150508-150521
Hauptverfasser:	Mohsen, Saeed, Elkaseer, Ahmed, Scholz, Steffen G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial intelligence Artificial neural networks Classification Computational modeling Computer architecture Convolution convolutional neural network (CNN) Convolutional neural networks Cyber-physical systems Deep learning Human activity recognition Industry 4.0 Logic gates long short-term memory (LSTM) Machine learning Microprocessors Moving object recognition
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