Reference : Understanding User Daily Mobility Using Mobile and Wearable Sensing Systems
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/28245
Understanding User Daily Mobility Using Mobile and Wearable Sensing Systems
English
Faye, Sébastien mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Engel, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Oct-2016
Proceedings of the 2016 International Conference on Information and Communications Technology Convergence - ICTC 2016
Yes
International
International Conference on Information and Communications Technology Convergence 2016 - ICTC 2016
from 19-10-2016 to 21-10-2016
South Korea
[en] Human Mobility Profiling ; Sensing Systems ; Graph Theory
[en] Recent technological advances and the ever-greater developments in sensing and computing continue to provide new ways of understanding our daily mobility. Smart devices such as smartphones or smartwatches can, for instance, provide an enhanced user experience based on different sets of built-in sensors that follow every user action and identify its environment. Monitoring solutions such as these, which are becoming more and more common, allow us to assess human behavior and movement at different levels. In this article, we focus on the concept of human mobility. With the participation of 13 individuals, we carried out an experiment to discover how groups of sensors currently available in smartphones and smartwatches can help to distinguish different profiles and patterns of human mobility. We show that it is possible to use not only motion sensors but also physiological sensors and environmental data provided, for instance, by Wi-Fi. Finally, detailed study of these categories enables us to offer a way of representing the mobility of individual users, based on anonymized traces and graph theory.
SnT
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/28245
FnR ; FNR5825301 > Thomas Engel > MAMBA > MultimodAl MoBility Assistance > 01/04/2014 > 31/03/2017 > 2013

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
faye_ictc_2016.pdfAuthor preprint3.28 MBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.