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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Veröffentlicht in:	Multimedia tools and applications Jg. 83; H. 22; S. 62379 - 62422
Hauptverfasser:	Khan, Md Mohi Uddin, Shams, Abdullah Bin, Raihan, Mohsin Sarker
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2024 Springer Nature B.V
Schlagworte:	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
Online-Zugang:	Volltext
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