Impact of Body Wearable Sensor Positions on UWB Ranging

Otim, Timothy; Bahillo, Alfonso; Díez, Luis Enrique; López-Iturri, Peio; Falcone, Francisco

doi:10.1109/jsen.2019.2935634

Cited by 37 publications

(41 citation statements)

References 24 publications

(6 reference statements)

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“…To overcome the drawbacks of human body shadowing on the TOF positioning error, ranging models that consider the body shadowing effect are necessary. Thus, in [37], we developed ranging error models for different body wearable sensor positions such as the forehead, hand, chest, wrist, arm, thigh and ankle. Other ranging error models are also presented for the hand [29,32], for the wrist and chest [30,38,39], and for the waist position [28].…”

Section: Related Workmentioning

confidence: 99%

“…Based on the related work, there is no work in the literature that studies the effects of wearable positions on the positioning accuracy. Therefore, this paper is an extension of the work in [37], in which novel UWB ranging error models for different wearable positions are proposed. We performed experiments considering seven locations: hand, chest, arm, thigh, forehead, ankle, and wrist.…”

Section: Related Workmentioning

confidence: 99%

“…UWB has the ability to measure the TOF with high resolution, and therefore to accurately estimate ranges in LOS conditions. However, when the direct path is blocked by the human body, the NLOS effect creates longer paths, which correspond to significant errors from a few decimeters to several meters based on the body wearable sensor position [37]. In this section, we describe how the body regions thorax, limb, and head influence the ranging error in NLOS situations.…”

Section: Uwb Interaction With the Human Bodymentioning

confidence: 99%

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

et al. 2019

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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.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Uwb Interaction With the Human Bodymentioning

confidence: 99%

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

et al. 2019

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“…A preliminary work has already studied the impact of body wearable sensor positions on UWB ranging [20]; however, the localization aspect was not included in the analysis. Therefore, to the best of our knowledge, there is no work in the literature that studies the impact of human body shadowing on the positioning accuracy when the wearable sensor is at different body locations.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we present a novel analysis of the effects of the body wearable sensor positions on the UWB localization accuracy. Similar to [20], we perform experiments considering seven body wearable sensor locations namely, fore-head, hand, chest, wrist, arm, thigh and ankle. The aforementioned body wearable positions are chosen because they are the most popular in the market according to Vandrico database [21].…”

Section: Introductionmentioning

confidence: 99%

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

Otim¹,

Díez²,

Bahillo³

et al. 2019

Preprint

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In recent years, several Ultrawideband (UWB) localization systems have already been proposed and evaluated for accurate position estimation of 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. In this paper, we study the effects of body wearable sensor positions i.e., chest, arm, ankle, wrist, thigh, fore-head, hand, on the localization accuracy. The conclusion drawn is that the fore-head is the best, and the chest is the worst body sensor location for tracking a pedestrian. While the fore-head position is able to set an error lower than 0.35 m (90th percentile), the chest is able to set 4 m. The reason for such a contrast in the performance lies in the fact that in NLOS situations, the chest as an obstacle is larger in size and thickness than any other part of the human body, which the UWB signal needs to overcome to reach the target wearable sensor. And so, the large errors arise due to the signal arriving at the target wearable sensor from reflections of a nearby object or a wall in the environment.

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The Effect of Human Body Blockage on UWB Tracking Accuracy in Construction Sites

Behvarmanesh,

Sadeghpour

2023

Lecture Notes in Civil Engineering

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Impact of Body Wearable Sensor Positions on UWB Ranging

Cited by 37 publications

References 24 publications

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

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

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

The Effect of Human Body Blockage on UWB Tracking Accuracy in Construction Sites

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