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Summarisation & Visualisation of Large Volumes of Time-Series Sensor Data

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.

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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.

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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