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Demo: Using Wearables to Learn from Human Dynamics
Faye, Sébastien; Frank, Raphaël
2015In Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '15)
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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 center :
SnT
Disciplines :
Computer science
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)
External co-authors :
no
Language :
English
Title :
Demo: Using Wearables to Learn from Human Dynamics
Publication date :
May 2015
Event name :
13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '15)
Event place :
Florence, Italy
Event date :
from 18-05-2015 to 22-05-2015
Audience :
International
Main work title :
Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '15)
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 05 August 2015

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