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Sensors 2016, 16(9), 1448;

A Tagless Indoor Localization System Based on Capacitive Sensing Technology

Politecnico di Torino, Corso Duca degli Abruzzi, Torino 24-10129, Italy
Author to whom correspondence should be addressed.
Academic Editor: Davide Brunelli
Received: 21 April 2016 / Revised: 27 August 2016 / Accepted: 27 August 2016 / Published: 7 September 2016
(This article belongs to the Special Issue Data in the IoT: from Sensing to Meaning)


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. View Full-Text
Keywords: capacitive sensing; indoor localization; tagless localization capacitive sensing; indoor localization; tagless localization

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Ramezani Akhmareh, A.; Lazarescu, M.T.; Bin Tariq, O.; Lavagno, L. A Tagless Indoor Localization System Based on Capacitive Sensing Technology. Sensors 2016, 16, 1448.

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