Probabilistic activity recognition in navigation

Octavi Font, Guillem Frances, Anders Jonsson, Phil Bartie, William Mackaness

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2014 11th Workshop on Positioning, Navigation and Communication, WPNC, Dresdon
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781479946716
DOIs
Publication statusPublished - 11 Mar 2014
Event11th IEEE Workshop on Positioning, Navigation and Communication, WPNC 2014 - Dresden, Germany
Duration: 12 Mar 201413 Mar 2014

Conference

Conference11th IEEE Workshop on Positioning, Navigation and Communication, WPNC 2014
Country/TerritoryGermany
CityDresden
Period12/03/1413/03/14

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