Differential barometry in personal navigation

Parviainen, Jussi; Kantola, Jouni; Collin, Jussi

doi:10.1109/plans.2008.4570051

Cited by 54 publications

(28 citation statements)

References 4 publications

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“…In [13], pressure sensors were employed for improving the accuracy of altitude estimation in satellite navigation systems. The authors indicated that local interference must be considered when performing altitude estimation.…”

Section: Related Workmentioning

confidence: 99%

Differential barometric-based positioning technique for indoor elevation measurement in IoT medical applications

Wang

Wen

Zhao

2017

THC

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Abstract. BACKGROUND: Medical applications have begun to benefit from Internet of Things (IoT) technology through the introduction of wearable devices. Several medical applications require accurate patient location as various changes affect pressure parameters inside the body. OBJECTIVE: This study aims to develop a system to measure indoor altitude for IoT medical applications. METHODS: We propose a differential barometric-based positioning system to estimate the altitude between a reference sensor and a localizing sensor connected to the human body. The differential barometric altimetry model is introduced to estimate indoor elevations and eliminate environmental artifacts. In addition, a Gaussian filter processing is adopted to remove noise from the elevation measurements. The proposed system is then investigated through extensive experiments, using various evaluation criteria. RESULTS:The results indicate that the proposed system yielded good accuracy with reduced implementation complexity and fewer costs. CONCLUSIONS: The proposed system is resilient compared to other indoor localization approaches, even when numerous environmental artifacts in indoor environments are present.

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Section: Related Workmentioning

confidence: 99%

Differential barometric-based positioning technique for indoor elevation measurement in IoT medical applications

Wang

Wen

Zhao

2017

THC

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“…Eqs. (11) and (14) are theoretically derived functions with a number of assumptions accepted. If f η ðΔdÞ and f η ðrss; dÞ in (11) are defined analytically, then the objective function (2) can be directly solved.…”

Section: Numerical Location Calculationmentioning

confidence: 99%

“…A number of researchers have shown improvements in the location accuracy when multiple measurements based on different techniques are fused together [11][12][13][14][15]. Design of localization systems where multiple techniques are used is complex enough.…”

Section: Introductionmentioning

confidence: 99%

Accuracy bounds of non-Gaussian Bayesian tracking in a NLOS environment

Volkov¹

2015

Signal Processing

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“…Wireless Sensor Networks (WSN) enable data transfer between several barometric sensors. Parviainen et al investigate altitude measurements using barometric sensors for personal navigation in [11]. The authors mention that different floor levels can be separated, despite of local disturbances.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of radio based, optical and barometric localization for indoor altitude estimation in medical applications

Bollmeyer

Pelka

Gehring

et al. 2014

2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

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The advances of electronics provide options for improved monitoring of patients in clinical environment. Medical applications like blood pressure monitoring require precise and wireless altitude measurement in indoor environment. An error of more than a few centimeters bears a risk of mistreatment of patients. Furthermore, user requirements like small form factor, usability and robust operation are important in the medical field. Existing evaluations of indoor positioning systems focus on accuracy analysis of x-and y-coordinates, not on the zcoordinate (altitude). In this paper, we define evaluation criteria for altitude estimation in medical applications. We compare an Ultra-Wide-Band indoor positioning system, an optical Microsoft Kinect camera system and our own development of a wireless barometric sensor against these criteria. We present a comparative measurement setup, results and a final evaluation of the three systems in an indoor environment.

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Differential barometry in personal navigation

Cited by 54 publications

References 4 publications

Differential barometric-based positioning technique for indoor elevation measurement in IoT medical applications

Differential barometric-based positioning technique for indoor elevation measurement in IoT medical applications

Accuracy bounds of non-Gaussian Bayesian tracking in a NLOS environment

Evaluation of radio based, optical and barometric localization for indoor altitude estimation in medical applications

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