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dc.contributor.author Won, Myounggyu -
dc.contributor.author Mishra, Ashutosh -
dc.contributor.author Son, Sang Hyuk -
dc.date.available 2017-09-27T01:16:05Z -
dc.date.created 2017-09-27 -
dc.date.issued 2017-10 -
dc.identifier.issn 1530-437X -
dc.identifier.uri http://hdl.handle.net/20.500.11750/4549 -
dc.description.abstract Recent research showed that human mobility is characterized by reproducible patterns, i.e., humans tend to travel a few known places. Timely identification of these “significant journeys has prospects for emerging intelligent applications like real-time traffic route recommendation and automated HVAC systems. Existing mobile systems, however, utilize energyhungry sensors like GPS and gyroscope to detect significant journeys, which make it hard to keep such systems running to continuously monitor driving routes. To address this issue of energy efficiency without compromising the performance, in this article, a hybrid mobile system based on the barometer sensor of a smartphone is developed. Distinctive elevation signatures of driving routes are captured using the smartphone barometer sensor that is exceptionally energy efficient and position/orientation independent. Degraded accuracy due to flat areas with minimal elevation changes is offset by developing an adaptive algorithm that opportunistically obtains GPS locations for a very short period of time when such flat areas are detected in real time. Using over 150miles of field data, it is demonstrated that the proposed mobile system achieves the mean detection accuracy of 97% with the mean false positive rates of 1.5%. IEEE -
dc.language English -
dc.publisher Institute of Electrical and Electronics Engineers -
dc.title HybridBaro: Mining Driving Routes Using Barometer Sensor of Smartphone -
dc.type Article -
dc.identifier.doi 10.1109/JSEN.2017.2734919 -
dc.identifier.wosid 000410665000027 -
dc.identifier.scopusid 2-s2.0-85028924904 -
dc.identifier.bibliographicCitation IEEE Sensors Journal, v.17, no.19, pp.6397 - 6408 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor Driving route detection -
dc.subject.keywordAuthor mobile computing -
dc.subject.keywordAuthor driver information systems -
dc.subject.keywordPlus VEHICLE -
dc.subject.keywordPlus GPS -
dc.citation.endPage 6408 -
dc.citation.number 19 -
dc.citation.startPage 6397 -
dc.citation.title IEEE Sensors Journal -
dc.citation.volume 17 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Engineering; Instruments & Instrumentation; Physics -
dc.relation.journalWebOfScienceCategory Engineering, Electrical & Electronic; Instruments & Instrumentation; Physics, Applied -
dc.type.docType Article -
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Department of Electrical Engineering and Computer Science RTCPS(Real-Time Cyber-Physical Systems) Lab 1. Journal Articles

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