Access Restriction

Author Bicocchi, N. ♦ Fontana, D. ♦ Zambonelli, F.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data
Subject Keyword Sensors ♦ Satellites ♦ Global Positioning System ♦ Image sensors ♦ Cognition ♦ Roads ♦ Google ♦ Commonsense Knowledge ♦ Pervasive Computing ♦ Activity Recognition ♦ Mobility
Abstract Activity recognition gained relevance in recent years because of its numerous applications. Despite relevant improvements, current classifiers are still inaccurate in several usage conditions or require time-consuming training. In this paper we show how localisation data and common sense knowledge could be used to improve activity recognition. More specifically, given the GPS position of the user, we both gather (i) a list of neighbouring commercial activities using a reverse geo-coding service and (ii) classify the satellite image of the area with state-of-the-art techniques. The approach maps classification labels produced by the three classifiers (i.e., activity, reverse geocoding localisation, satellite imagery localisation) to concepts within the ConceptNet network for the sake of improving activity recognition accuracy.
Description Author affiliation: Dipt. di Ing. dell'Inf., Univ. di Modena e Reggio Emilia, Modena, Italy (Bicocchi, N.) || Dipt. di Sci. e Metodi dell'Ing., Univ. di Modena e Reggio Emilia, Reggio Emilia, Italy (Fontana, D.; Zambonelli, F.)
ISBN 9781479957217
ISSN 15294188
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-09-01
Publisher Place Germany
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479957224
Size (in Bytes) 1.08 MB
Page Count 5
Starting Page 183
Ending Page 187

Source: IEEE Xplore Digital Library