Font Sola, OctaviFrancès, GuillemJonsson, Anders, 1973-Bartie, PhilMackaness, William2018-07-022018-07-022014Font O, Francès G, Jonsson A, Bartie P, Mackaness W. Probabilistic activity recognition in navigation. In: 2014 11th Workshop on Positioning, Navigation and Communication (WPNC); 2014 Mar 12-13; Dresden, Germany. Piscataway (NJ): IEEE; 2014. [6 p.]. DOI: 10.1109/WPNC.2014.6843309http://hdl.handle.net/10230/35015Comunicació presentada al 11th Workshop on Positioning, Navigation and Communication (WPNC), celebrat els dies 12 i 13 de març de 2014 a Dresden, Alemanya.In this paper we present a novel probabilistic approach to activity recognition. Our approach is to estimate posterior probabilities of different activities using Bayes' rule. The approach can handle any type of activities as long as it is possible to estimate the conditional probabilities of potential observations, and easily scales to large numbers of activities. We test our approach empirically in an environment where observations are GPS signals of users moving around in a city.application/pdfeng© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at http://dx.doi.org/10.1109/WPNC.2014.6843309info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/WPNC.2014.6843309Cities and townsJunctionsRoadsGlobal Positioning SystemLegged locomotionEducational institutionsSensorsinfo:eu-repo/semantics/openAccess