Experimental Investigation of Body-Centric Indoor Localization Using Compact Wearable Antennas and Machine Learning Algorithms

A simple and effective body-centric localization algorithm has been proposed in this article using ultra-wideband (UWB) wearable technology. The algorithm has been validated through measurement campaigns with a human subject volunteer in an indoor environment. The algorithm takes into account statis...

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Veröffentlicht in:	IEEE transactions on antennas and propagation Jg. 70; H. 2; S. 1344 - 1354
Hauptverfasser:	Bharadwaj, Richa, Alomainy, Akram, Koul, Shiban K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Body-centric communication channel characterization Classification Classification algorithms Data integration Delays Human subjects Indoor environment Indoor environments indoor localization Localization Location awareness Machine learning machine learning (ML) Machine learning algorithms Parameters Support vector machines Ultra wideband antennas Ultrawideband wearable antennas Wearable technology Wireless communication
ISSN:	0018-926X, 1558-2221
Online-Zugang:	Volltext
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