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Open AccessFeature PaperArticle

Effects of the Body Wearable Sensor Position on the UWB Localization Accuracy

1
Faculty of Engineering, University of Deusto, Av. Universidades, 24, 48007 Bilbao, Spain
2
Department of Electric, Electronic and Communication Engineering and Institute for Smart Cities, Public University of Navarra, 31006 Pamplona, Spain
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(11), 1351; https://doi.org/10.3390/electronics8111351
Received: 16 September 2019 / Revised: 19 October 2019 / Accepted: 11 November 2019 / Published: 14 November 2019
(This article belongs to the Special Issue Indoor Localization: Technologies and Challenges)
Over the years, several Ultrawideband (UWB) localization systems have been proposed and evaluated for accurate estimation of the position for pedestrians. However, most of them are evaluated for a particular wearable sensor position; hence, the accuracy obtained is subject to a given wearable sensor position. This paper is focused on studying the effects of body wearable sensor positions i.e., chest, arm, ankle, wrist, thigh, forehead, and hand, on the localization accuracy. According to our results, the forehead and the chest provide the best and worst body sensor location for tracking a pedestrian, respectively. With the wearable sensor at the forehead and chest position, errors lower than 0.35 m (90th percentile) and 4 m can be obtained, respectively. The reason for such a contrast in the performance lies in the fact that, in non-line-of-sight (NLOS) situations, the chest generates the highest multipath of any part of the human body. Thus, the large errors obtained arise due to the signal arriving at the target wearable sensor by multiple reflections from interacting objects in the environment rather than by direct line-of-sight (LOS) or creeping wave propagation mechanism. View Full-Text
Keywords: Ultrawideband (UWB); localization; ranging; body wearable sensors; human body shadowing Ultrawideband (UWB); localization; ranging; body wearable sensors; human body shadowing
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MDPI and ACS Style

Otim, T.; Díez, L.E.; Bahillo, A.; Lopez-Iturri, P.; Falcone, F. Effects of the Body Wearable Sensor Position on the UWB Localization Accuracy. Electronics 2019, 8, 1351.

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