Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Green multimedia: informing people of their carbon footprint through two simple sensors

Doherty, Aiden R. and Qiu, Zhengwei and Foley, Colum and Lee, Hyowon and Gurrin, Cathal and Smeaton, Alan F. (2010) Green multimedia: informing people of their carbon footprint through two simple sensors. In: ACM Multimedia 2010, 25-29 October 2010, Florence, Italy. ISBN 978-1-60558-933-6

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


In this work we discuss a new, but highly relevant, topic to the multimedia community; systems to inform individuals of their carbon footprint, which could ultimately effect change in community carbon footprint-related activities. The reduction of carbon emissions is now an important policy driver of many governments, and one of the major areas of focus is in reducing the energy demand from the consumers i.e. all of us individually. In terms of CO2 generated from energy consumption, there are three predominant factors, namely electricity usage, thermal related costs, and transport usage. Standard home electricity and heating sensors can be used to measure the former two aspects, and in this paper we evaluate a novel technique to estimate an individual's transport-related carbon emissions through the use of a simple wearable accelerometer. We investigate how providing this novel estimation of transport-related carbon emissions through an interactive web site and mobile phone app engages a set of users in becoming more aware of their carbon emissions. Our evaluations involve a group of 6 users collecting 25 million accelerometer readings and 12.5 million power readings vs. a control group of 16 users collecting 29.7 million power readings.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:CO2; home energy monitoring; activity monitoring; multimodal feedback;
Subjects:Computer Science > Lifelog
Computer Science > Machine learning
Computer Science > Information storage and retrieval systems
Computer Science > Multimedia systems
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:ACM MM 2010 Proceedings of the international conference on Multimedia. . Association for Computing Machinery. ISBN 978-1-60558-933-6
Publisher:Association for Computing Machinery
Official URL:
Copyright Information:© 2010 Association for Computing Machinery
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:15993
Deposited On:09 Dec 2010 15:02 by Dr Aiden Doherty. Last Modified 17 Feb 2017 10:36

Download statistics

Archive Staff Only: edit this record