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dc.contributor.authorLan, Kun-Chanen_US
dc.contributor.authorShih, Wen-Yuahen_US
dc.date.accessioned2014-12-08T15:30:43Z-
dc.date.available2014-12-08T15:30:43Z-
dc.date.issued2013-04-01en_US
dc.identifier.issn1424-8220en_US
dc.identifier.urihttp://dx.doi.org/10.3390/s130404781en_US
dc.identifier.urihttp://hdl.handle.net/11536/21944-
dc.description.abstractMany studies utilize the signal strength of short-range radio systems (such as WiFi, ultrasound and infrared) to build a radio map for indoor localization, by deploying a large number of beacon nodes within a building. The drawback of such an infrastructure-based approach is that the deployment and calibration of the system are costly and labor-intensive. Some prior studies proposed the use of Pedestrian Dead Reckoning (PDR) for indoor localization, which does not require the deployment of beacon nodes. In a PDR system, a small number of sensors are put on the pedestrian. These sensors (such as a G-sensor and gyroscope) are used to estimate the distance and direction that a user travels. The effectiveness of a PDR system lies in its success in accurately estimating the user's moving distance and direction. In this work, we propose a novel waist-mounted based PDR that can measure the user's step lengths with a high accuracy. We utilize vertical acceleration of the body to calculate the user's change in height during walking. Based on the Pythagorean Theorem, we can then estimate each step length using this data. Furthermore, we design a map matching algorithm to calibrate the direction errors from the gyro using building floor plans. The results of our experiment show that we can achieve about 98.26% accuracy in estimating the user's walking distance, with an overall location error of about 0.48 m.en_US
dc.language.isoen_USen_US
dc.subjectpedestrian dead reckoningen_US
dc.subjectwaist-mounteden_US
dc.subjectsimple harmonic motionen_US
dc.subjectZUPTen_US
dc.subjectmap matchingen_US
dc.subjectfloor planen_US
dc.titleOn Calibrating the Sensor Errors of a PDR-Based Indoor Localization Systemen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/s130404781en_US
dc.identifier.journalSENSORSen_US
dc.citation.volume13en_US
dc.citation.issue4en_US
dc.citation.spage4781en_US
dc.citation.epage4810en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000318036400047-
dc.citation.woscount3-
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