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Pedestrian tracking using an IMU array
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3054-6413
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2718-0262
2014 (English)In: 2014 IEEE International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT), IEEE Computer Society, 2014, 6740346- p.Conference paper, Published paper (Refereed)
Abstract [en]

Ubiquitous and accurate tracking of pedestrians are an enabler for a large range of emerging and envisioned services and capabilites. To track pedestrians in prevailing indoor environments, inertial measurement units (IMUs) may be used to implement foot-mounted inertial navigation. Today emerging ultra-low-cost IMUs are taking a leading role in the advancement of the IMU performance-to-cost boundary. Unfortunately, the performance of these IMUs are still insufficient to allow extended stand-alone tracking. However, the size, price, and power consumption of single-chip ultra-low-cost IMUs makes it possible to combine multiple IMUs on a single PCB, creating an IMU array. The feasibility of such hardware has recently been demonstrated. On the other hand, the actual gain of using such multi-IMU systems in the pedestrian tracking application is unclear. Therefore, based on an in-house developed IMU array, in the article we demonstrate that foot-mounted inertial navigation with an IMU array is indeed possible and benefitial. The error characteristics of the setup and different ways of combining the inertial measurements are studied and directions for further research are given.

Place, publisher, year, edition, pages
IEEE Computer Society, 2014. 6740346- p.
Keyword [en]
Communication systems, Inertial navigation systems, Navigation, Tracking (position), Units of measurement
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-136277DOI: 10.1109/CONECCT.2014.6740346ISI: 000349779700061Scopus ID: 2-s2.0-84900576465ISBN: 978-1-4799-2318-2 (print)OAI: oai:DiVA.org:kth-136277DiVA: diva2:675689
Conference
2014 IEEE International Conference on Electronics, Computing and Communication Technologies, IEEE CONECCT 2014; Bangalore; India; 6 January 2014 through 7 January 2014
Note

QC 20140521

Available from: 2013-12-04 Created: 2013-12-04 Last updated: 2015-12-07Bibliographically approved

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Skog, IsaacHändel, Peter

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