Demo: Using Wearables to Learn from Human Dynamics

Faye, Sébastien; Frank, Raphaël

Reference : Demo: Using Wearables to Learn from Human Dynamics


	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/10993/21719

Title :	Demo: Using Wearables to Learn from Human Dynamics
Language :	English
Author, co-author :	Faye, Sébastien [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Frank, Raphaël [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	May-2015
Main document title :	Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '15)
Peer reviewed :	Yes
Audience :	International
Event name :	13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '15)
Event date :	from 18-05-2015 to 22-05-2015
Event place (city) :	Florence
Event country :	Italy
Abstract :	[en] Recent technological advances have allowed the development of miniaturized sensors and the emergence of a wide range of connected objects. Whether it's smartphones or in the broader sense wearables, the diversity of these devices and their accessibility opens up new fields for applications in the computer sciences. Smartwatches, which are experiencing a boom on the market, will be integral to the research that will shape the Internet in the years to come, namely big data, sensing systems and human behavior. Our demonstration falls within this context and aims to demonstrate the potential of these emerging technologies to respond to problems and to way of thinking introduced by industry and the scientific community, which are generally limited to smartphone sensing frameworks. Further, we plan to present our research platform, SWIPE, which is dedicated to collecting, studying and learning about human dynamics by means of an ecosystem of wearables.
Research centres :	SnT
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/21719
Other URL :	http://dl.acm.org/citation.cfm?id=2745932

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