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LOCI: privacy-aware, device-free, low-power localization of multiple persons using IR sensors
TU Delft, Netherlands.
TU Delft, Netherlands.
TU Delft, Netherlands.
TU Delft, Netherlands.
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2020 (English)In: Proceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020, Institute of Electrical and Electronics Engineers Inc. , 2020, p. 121-132Conference paper, Published paper (Refereed)
Abstract [en]

High accuracy and device-free indoor localization is still a holy grail to enable smart environments. With the growing privacy concerns and regulations, it is necessary to develop methods and systems that can be low-power, device-free as well as privacy-aware. While IR-based solutions fit the bill, they require many modules to be installed in the area of interest for higher accuracy, or proper planning during installation, or they may not work if the background has multiple heat-emitting objects, etc. In this paper, we propose a custom-built miniature device called LOCI that uses IR sensing. One unit of LOCI can provide three-dimensional localization at best. LOCI uses only a thermopile and a PIR sensor built within a 5x5x2 cm3 module. Since IR-based sensing is used, LOCI consumes around 80 mW. LOCI uses analog waveform from the PIR sensor with the gain of the PIR sensor dynamically controlled through software in real-time to simulate spatial diversity. LOCI proposes low-complexity techniques with sensor fusion to eliminate the noise in the background, which has not been handled in previous works even with sophisticated signal processing techniques. Since LOCI uses raw data from the thermopile, the computations are power-efficient. We present the complete design of LOCI and the proposed methodology to estimate height and location. LOCI achieves accuracies of sub-22 cm with a confidence of 0.5 and sub-35 cm with a confidence of 0.8. The best-case location accuracy is 12.5 cm. The accuracy of height estimation is within 8 cm in majority cases. LOCI can easily be extended to recognize activities. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. p. 121-132
Keywords [en]
device-free, infrared, localization, passive, PIR, privacy-aware, thermopile, Indoor positioning systems, Sensor networks, Signal processing, Height estimation, Indoor localization, Location accuracy, Miniature devices, Signal processing technique, Smart environment, Spatial diversity, Three dimensional localization, Thermopiles
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-45156DOI: 10.1109/IPSN48710.2020.00018Scopus ID: 2-s2.0-85086900048ISBN: 9781728154978 (print)OAI: oai:DiVA.org:ri-45156DiVA, id: diva2:1453882
Conference
19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020, 21 April 2020 through 24 April 2020
Available from: 2020-07-13 Created: 2020-07-13 Last updated: 2023-05-25Bibliographically approved

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Mottola, Luca

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