Please use this identifier to cite or link to this item: http://oaps.umac.mo/handle/10692.1/161
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dc.contributor.authorLEONG, KA CHON (梁嘉俊)-
dc.date.accessioned2017-10-06T02:13:55Z-
dc.date.available2017-10-06T02:13:55Z-
dc.date.issued2017-
dc.identifier.citationLEONG, K. C. (2017). The Rise of Magnetic Positioning: An Emerging and Infrastructure Free Solution for Indoor Positioning (Outstanding Academic Papers by Students (OAPS)). Retrieved from University of Macau, Outstanding Academic Papers by Students Repository.en_US
dc.identifier.urihttp://oaps.umac.mo/handle/10692.1/161-
dc.description.abstractExisting indoor positioning systems require some infrastructure setup, e.g., WiFi or Bluetooth. The maintenance cost of such systems makes them not easy to deploy everywhere. In this project, our goal is to develop an infrastructure freesolution for the Indoor Positioning System (IPS) using magnetic field. To build an infrastructure free solution, we first build a magnetic footprint database for the targeted environment. Given the footprint database, we can estimate a user location based on her magnetic trajectory, where the estimation is done by a Dynamic Time Warping (DTW) like algorithm. In addition, we also study some pruning strategies to further improve the computation time. Besides the technical development, we also attempt to run the system in real scenarios. One testing case is to use the indoor positioning in our university library. We design a prototype system, called BookFinder, that can help people to find the book’s position and guide them to the destination by Augmented Reality. Lastly, we also conduct quite a few of experiments to confirm the robustness of the system design. In summary, the infrastructure free solution still has room for improvement but it definitely has a bright future.en_US
dc.language.isoen_USen_US
dc.titleThe Rise of Magnetic Positioning: An Emerging and Infrastructure Free Solution for Indoor Positioningen_US
dc.typeOAPSen_US
dc.contributor.departmentDepartment of Computer and Information Scienceen_US
dc.description.instructorProf. LEONG, HON Uen_US
dc.contributor.facultyFaculty of Science and Technologyen_US
dc.description.programmeBachelor of Science in Computer Scienceen_US
Appears in Collections:FST OAPS 2017

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