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Lifelogging and EEG: utilising neural signals for sorting lifelog image data

Healy, Graham orcid logoORCID: 0000-0001-6429-6339, Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2014) Lifelogging and EEG: utilising neural signals for sorting lifelog image data. In: 2014 Quantified Self Europe Conference, 10-11 May 2014, Amsterdam, Netherlands.

Abstract
Lifelogging– particularly image capture – is capable of generating vast amounts of image data of complex human activates and events which can be difficult to automatically sort and navigate. In this work we demonstrate how neural signals from EEG (Electroencephalography) can be used to help sort and navigate these datasets at high speed. By using EEG we can detect a variety of attention related neural responses to viewing lifelogimages which in turn allows us to sort them from the subjective perspective of which images caught the person’s attention most significantly.
Metadata
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Lifelog
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:20233
Deposited On:29 Sep 2014 10:31 by Graham Healy . Last Modified 11 Oct 2018 08:59
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