Utilizing deep learning models in CSI-based human activity recognition

In recent years, channel state information (CSI) in WiFi 802.11n has been increasingly used to collect data pertaining to human activity. Such raw data are then used to enhance human activity recognition. Activities such as lying down, falling, walking, running, sitting down, and standing up can now...

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Veröffentlicht in:	Neural computing & applications 2022-04, Vol.34 (8), p.5993-6010
Hauptverfasser:	Shalaby, Eman, ElShennawy, Nada, Sarhan, Amany
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Artificial neural networks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data collection Data Mining and Knowledge Discovery Deep learning Environment models Feature extraction Human activity recognition Human performance Image Processing and Computer Vision Machine learning Original Original Article Performance enhancement Probability and Statistics in Computer Science Training
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