Probabilistic activity recognition in navigation

Octavi Font, Guillem Francès, 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 2014
ISBN (Electronic)978-1-4799-4671-6
DOIs
Publication statusPublished - 2014

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    Font, O., Francès, G., Jonsson, A., Bartie, P., & Mackaness, W. (2014). Probabilistic activity recognition in navigation. In 2014 11th Workshop on Positioning, Navigation and Communication, WPNC 2014 https://doi.org/10.1109/WPNC.2014.6843309