01811nas a2200265 4500008004100000245005300041210005300094260002700147520111600174653001301290653001401303653001401317653001001331653001101341653002201352653001701374653001801391653001801409653001201427653001601439100001801455700002001473700001501493856003701508 2011 eng d00aIndoor localization through dynamic time warping0 aIndoor localization through dynamic time warping aAnchorage, AKc10/20113 a
Identifying and locating oneself in different hallways of high rise buildings forms the classic indoor localization problem. GPS does not work indoors and WiFi may not be omnipresent. This paper presents a novel approach to ambient magnetic fields based indoor localization. We present a system that classifies magnetic signatures using dynamic time warping. Specifically, by aligning similar magnetic signatures that differ in magnitude or time, we classify the signatures and infer the location irrepective of the person and his/her mode of commuting. A Nexus One smartphone was employed, utilizing its builtin magnetic field sensor to create a user friendly localization application solely on the phone. By using a variety of subjects including sighted, blindfolded and people using wheelchairs to handle the human speed variation problem, we evaluated the system across 26 and 15 hallways of two different buildings and obtained accuracies of 92.6%, and 91.1% respectively. With these encouraging results, we believe our proposed solution is user independent and caters to a wide range of hallways.
10aAccuracy10aBuildings10aDatabases10aHuman10aHumans10aLegged locomotion10aLocalization10aMagnetometers10amobile phones10asensors10aWheelchairs1 aSubbu, Kalyan1 aGozick, Brandon1 aDantu, Ram uhttps://nsl.cse.unt.edu/node/216