Qiu, Zhengwei, Gurrin, Cathal ORCID: 0000-0003-2903-3968, Doherty, Aiden R. ORCID: 0000-0003-1840-0451 and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2010) Summarisation & Visualisation of Large Volumes of Time-Series Sensor Data. In: China-Ireland International Conference on Information and Communications Technologies, Wuhan, China.
Abstract
a number of sensors, including an electricity usage
sensor supplied by Episensor. This poses our second
With the increasing ubiquity of sensor data, challenge, how to summarise an extended period of
presenting this data in a meaningful way to electrictiy usage data for a home user.
users is a challenge that must be addressed
before we can easily deploy real-world sensor
network interfaces in the home or workplace. In
this paper, we will present one solution to the
visualisation of large quantities of sensor data
that is easy to understand and yet provides
meaningful and intuitive information to a user,
even when examining many weeks or months of
historical data. We will illustrate this
visulalisation technique with two real-world
deployments of sensing the person and sensing
the home.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | video retrieval; video indexing |
Subjects: | UNSPECIFIED |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies |
Funders: | Science Foundation Ireland |
ID Code: | 16030 |
Deposited On: | 28 Jan 2011 16:46 by Zhengwei Qiu . Last Modified 04 Oct 2018 10:37 |
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