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Lifelogging and EEG: utilising neural signals for sorting lifelog image data
Healy, Graham; Gurrin, Cathal; Smeaton, Alan F.
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.
Keyword(s): Lifelog
Publication Date:
2014
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Healy, Graham ORCID: 0000-0001-6429-6339 <https://orcid.org/0000-0001-6429-6339>, Gurrin, Cathal ORCID: 0000-0003-2903-3968 <https://orcid.org/0000-0003-2903-3968> and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/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.
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/20233/1/qs2014_poster_draft2.pdf
First Indexed: 2014-09-30 05:26:34 Last Updated: 2019-02-09 06:23:52