A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels

In the last years, several machine learning-based techniques have been proposed to monitor human movements from Wi-Fi channel readings. However, the development of domain-adaptive algorithms that robustly work across different environments is still an open problem, whose solution requires large data...

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Veröffentlicht in:	arXiv.org
Hauptverfasser:	Meneghello, Francesca, Nicolò Dal Fabbro, Garlisi, Domenico, Tinnirello, Ilenia, Rossi, Michele
Format:	Paper
Sprache:	Englisch
Veröffentlicht:	Ithaca Cornell University Library, arXiv.org 29.04.2023
Schlagworte:	Activity recognition Adaptive algorithms Algorithms Anechoic chambers Datasets Domains Hardware Human motion Machine learning
ISSN:	2331-8422
Online-Zugang:	Volltext
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