Reference : Toward a Characterization of Human Activities using Smart Devices: A Micro/Macro Approach

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/24896

Title :	Toward a Characterization of Human Activities using Smart Devices: A Micro/Macro Approach
Language :	English
Author, co-author :	Faye, Sébastien [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Louveton, Nicolas [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Gheorghe, Gabriela [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Engel, Thomas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	Apr-2016
Main document title :	Proceedings of the 7th IEEE INFOCOM International Workshop on Mobility Management in the Networks of the Future World
Peer reviewed :	Yes
Audience :	International
Event name :	7th IEEE INFOCOM International Workshop on Mobility Management in the Networks of the Future World
Event date :	from 10-04-2016 to 15-04-2016
Event place (city) :	San Francisco
Event country :	US
Keywords :	[en] Activity Recognition ; Wearable & Mobile Computing ; Sensing Systems
Abstract :	[en] The emergence of new connected devices has opened up new opportunities and allowed to imagine concepts that bring computer sciences and social sciences closer together. In particular, today's increasingly sophisticated miniature sensors allow to track and understand human activities and behavior with a great precision. Taking different approaches and perspectives, we use in this paper smartwatches and smartglasses to explore these behaviors and show that these objects, considered by many as gadgets, have an important role to play in understanding the lives of individuals. The main objective of this work is to introduce two new scales of activity detection, which lacks a formal and consistent definition in the literature. First, we propose a model that precisely detects and interprets movements made by a person wearing smart devices. Then, we use this model to show different interactions between those micro-activities and bigger chunks of behaviors we call macro-activities. Using a new concept based on 3D visualization, we finally show that combining those two scales and using a limited dataset, it is possible to distinguish between different individuals when they are performing very similar activities. The findings of this study lead the way to enhanced user profiling.
Research centres :	SnT
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/24896
DOI :	10.1109/INFCOMW.2016.7562162
FnR project :	FnR ; FNR7489281 > Thomas Engel > eGlasses > The interactive eyeglasses for mobile, perceptual computing, > 01/01/2014 > 31/12/2016 > 2014

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