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dc.contributor.authorPalamakula, Spandan
dc.date.accessioned2015-11-19T17:39:54Z
dc.date.available2015-11-19T17:39:54Z
dc.identifier.urihttp://hdl.handle.net/10222/64633
dc.description.abstractThe ability to locate and track humans or objects indoors and outdoors is becoming increasingly important in today’s world of applications. The positioning accuracy and reliability outdoors is well handled by the Global positioning system (GPS). However, GPS has very low accuracy in the indoor environments due to obstruction in the line of sight of the satellites. In this thesis a real-time hybrid approach is proposed to locate and track people indoors. The main objective of this thesis is to design and develop a hybrid indoor tracking system called TrackIndoors. Our hybrid approach uses Wi-Fi and smart-phone sensors together to track and locate the position of people in the indoor environments. A real-time android application is developed and it consists of three components: trilateration, fingerprinting and sensor fusion. Results of our hybrid approach shows that the system is able to locate and track a person with high-precision and low cost.en_US
dc.language.isoenen_US
dc.subjectIndoor trackingen_US
dc.titleTRACKINDOORS: REAL-TIME INFRASTRUCTURE-LESS INDOOR TRACKING USING HYBRID APPROACHen_US
dc.typeThesisen_US
dc.date.defence2015-11-03
dc.contributor.departmentFaculty of Computer Scienceen_US
dc.contributor.degreeMaster of Computer Scienceen_US
dc.contributor.external-examinerDr.Qiang Yeen_US
dc.contributor.graduate-coordinatorNorbert Zehen_US
dc.contributor.thesis-readerDr.Peter Bodoriken_US
dc.contributor.thesis-supervisorDr.Srini Sampallien_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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