A Tagless Indoor Localization System Based on Capacitive Sensing Technology

Accurate indoor person localization is essential for several services, such as assisted living. We introduce a tagless indoor person localization system based on capacitive sensing and localization algorithms that can determine the location with less than 0.2 m average error in a 3 m × 3 m room and...

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Main Authors: Alireza Ramezani Akhmareh, Mihai Teodor Lazarescu, Osama Bin Tariq, Luciano Lavagno
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/9/1448
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author Alireza Ramezani Akhmareh
Mihai Teodor Lazarescu
Osama Bin Tariq
Luciano Lavagno
author_facet Alireza Ramezani Akhmareh
Mihai Teodor Lazarescu
Osama Bin Tariq
Luciano Lavagno
author_sort Alireza Ramezani Akhmareh
collection DOAJ
description Accurate indoor person localization is essential for several services, such as assisted living. We introduce a tagless indoor person localization system based on capacitive sensing and localization algorithms that can determine the location with less than 0.2 m average error in a 3 m × 3 m room and has recall and precision better than 70%. We also discuss the effects of various noise types on the measurements and ways to reduce them using filters suitable for on-sensor implementation to lower communication energy consumption. We also compare the performance of several standard localization algorithms in terms of localization error, recall, precision, and accuracy of detection of the movement trajectory.
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spelling doaj.art-11741b7e4b094b879a57540e01e096142022-12-22T03:10:35ZengMDPI AGSensors1424-82202016-09-01169144810.3390/s16091448s16091448A Tagless Indoor Localization System Based on Capacitive Sensing TechnologyAlireza Ramezani Akhmareh0Mihai Teodor Lazarescu1Osama Bin Tariq2Luciano Lavagno3Politecnico di Torino, Corso Duca degli Abruzzi, Torino 24-10129, ItalyPolitecnico di Torino, Corso Duca degli Abruzzi, Torino 24-10129, ItalyPolitecnico di Torino, Corso Duca degli Abruzzi, Torino 24-10129, ItalyPolitecnico di Torino, Corso Duca degli Abruzzi, Torino 24-10129, ItalyAccurate indoor person localization is essential for several services, such as assisted living. We introduce a tagless indoor person localization system based on capacitive sensing and localization algorithms that can determine the location with less than 0.2 m average error in a 3 m × 3 m room and has recall and precision better than 70%. We also discuss the effects of various noise types on the measurements and ways to reduce them using filters suitable for on-sensor implementation to lower communication energy consumption. We also compare the performance of several standard localization algorithms in terms of localization error, recall, precision, and accuracy of detection of the movement trajectory.http://www.mdpi.com/1424-8220/16/9/1448capacitive sensingindoor localizationtagless localization
spellingShingle Alireza Ramezani Akhmareh
Mihai Teodor Lazarescu
Osama Bin Tariq
Luciano Lavagno
A Tagless Indoor Localization System Based on Capacitive Sensing Technology
Sensors
capacitive sensing
indoor localization
tagless localization
title A Tagless Indoor Localization System Based on Capacitive Sensing Technology
title_full A Tagless Indoor Localization System Based on Capacitive Sensing Technology
title_fullStr A Tagless Indoor Localization System Based on Capacitive Sensing Technology
title_full_unstemmed A Tagless Indoor Localization System Based on Capacitive Sensing Technology
title_short A Tagless Indoor Localization System Based on Capacitive Sensing Technology
title_sort tagless indoor localization system based on capacitive sensing technology
topic capacitive sensing
indoor localization
tagless localization
url http://www.mdpi.com/1424-8220/16/9/1448
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AT mihaiteodorlazarescu taglessindoorlocalizationsystembasedoncapacitivesensingtechnology
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