A personal navigation system using mems-based high-density ground reaction sensor array and inertial measurement unit
dc.contributor.author | Guo, Q. | |
dc.contributor.author | Bebek, Özkan | |
dc.contributor.author | Çavuşoğlu, M. C. | |
dc.contributor.author | Mastrangelo, C. H. | |
dc.contributor.author | Young, D. J. | |
dc.date.accessioned | 2016-02-17T11:05:43Z | |
dc.date.available | 2016-02-17T11:05:43Z | |
dc.date.issued | 2015 | |
dc.identifier.issn | 2159-547X | |
dc.identifier.uri | http://hdl.handle.net/10679/2848 | |
dc.identifier.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7181113 | |
dc.description | Due to copyright restrictions, the access to the full text of this article is only available via subscription. | |
dc.description.abstract | This paper describes a prototype personal navigation system developed for position tracking under GPS denied environments by employing a commercial inertial measurement unit (IMU) and a MEMS-based ground reaction sensor array (GRSA). The GRSA is used to provide zero-velocity updating for the IMU. A Kalman filter further estimates the IMU output bias during the zero-velocity period, which is then removed from the IMU's subsequent output signals to improve the navigation accuracy. Seven 10-minute square-loop walking tests were performed to achieve an in-plane navigation accuracy ranging from 0.4 meter to 3.4 meter with a vertical position accuracy of approximately 1 meter. A further improved performance over an extended navigation time is expected through enhancing the GRSA sensitivity. | |
dc.description.sponsorship | Utah Science Technology and Research initiative (USTAR) | |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | |
dc.relation.ispartof | 2015 Transducers - 2015 18th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS) | |
dc.rights | restrictedAccess | |
dc.title | A personal navigation system using mems-based high-density ground reaction sensor array and inertial measurement unit | en_US |
dc.type | Conference paper | en_US |
dc.peerreviewed | yes | |
dc.publicationstatus | published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0003-2721-9777 & YÖK ID 43734) Bebek, Özkan | |
dc.contributor.ozuauthor | Bebek, Özkan | |
dc.identifier.startpage | 1077 | |
dc.identifier.endpage | 1080 | |
dc.identifier.wos | WOS:000380461400267 | |
dc.identifier.doi | 10.1109/TRANSDUCERS.2015.7181113 | |
dc.subject.keywords | Personal navigation | |
dc.subject.keywords | Pedestrian navigation | |
dc.subject.keywords | Inertial navigation | |
dc.subject.keywords | Dead reckoning | |
dc.subject.keywords | IMU bias | |
dc.subject.keywords | ZUPTing | |
dc.subject.keywords | Ground reaction sensor array | |
dc.subject.keywords | Pressure sensor array | |
dc.subject.keywords | Tactile sensor array | |
dc.subject.keywords | Kalman filter | |
dc.subject.keywords | Capacitance-to-voltage converter | |
dc.identifier.scopus | SCOPUS:2-s2.0-84955514379 | |
dc.contributor.authorMale | 1 | |
dc.relation.publicationcategory | Conference Paper - International - Institutional Academic Staff |
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