A prospective approach for human-to-human interaction recognition from Wi-Fi channel data using attention bidirectional gated recurrent neural network with GUI application implementation

Human Activity Recognition (HAR) research has gained significant momentum due to recent technological advancements, artificial intelligence algorithms, the need for smart cities, and socioeconomic transformation. However, existing computer vision and sensor-based HAR solutions have limitations such...

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Vydané v:	Multimedia tools and applications Ročník 83; číslo 22; s. 62379 - 62422
Hlavní autori:	Khan, Md Mohi Uddin, Shams, Abdullah Bin, Raihan, Mohsin Sarker
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.07.2024 Springer Nature B.V
Predmet:	1229: Multimedia Data Analysis for Smart City Environment Safety Algorithms Artificial intelligence Benchmarks Classification Computer Communication Networks Computer Science Computer vision Data Structures and Information Theory Graphical user interface Human activity recognition Human performance Machine learning Multimedia Information Systems Neural networks Pattern analysis Power consumption Privacy Recurrent neural networks Routers Special Purpose and Application-Based Systems Surveillance systems Transceivers User interface Wireless access points Deep learning Wi-Fi based HAR Mutual human activity recognition Attention BiGRU Remote monitoring Smart home
ISSN:	1573-7721, 1380-7501, 1573-7721
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