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      Optimising the Number of Channels in EEG-Augmented Image Search

      proceedings-article
      ,
      Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction (HCI)
      Human Computer Interaction
      4 - 8 July 2011
      Brain computer interface (BCI), image search, electroencephalograph (EEG), P300
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            Abstract

            Recent proof-of-concept research has appeared showing the applicability of Brain Computer Interface (BCI) technology in combination with the human visual system, to classify images. The basic premise here is that images that arouse a participant’s attention generate a detectable response in their brainwaves, measurable using an electroencephalograph (EEG). When a participant is given a target class of images to search for, each image belonging to that target class presented within a stream of images should elicit a distinctly detectable neural response. Previous work in this domain has primarily focused on validating the technique on proof of concept image sets that demonstrate desired properties and on examining the capabilities of the technique at various image presentation speeds. In this paper we expand on this by examining the capability of the technique when using a reduced number of channels in the EEG, and its impact on the detection accuracy.

            Content

            Author and article information

            Contributors
            Conference
            July 2011
            July 2011
            : 157-162
            Affiliations
            [0001]CLARITY: Centre for Sensor Web Technologies

            School of Computing

            Dublin City University, Ireland
            Article
            10.14236/ewic/HCI2011.42
            5a872383-3131-420d-b2ce-b22ac50d3142
            © Graham Healy et al. Published by BCS Learning and Development Ltd. Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction, Newcastle Upon Tyne, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction
            HCI
            25
            Newcastle Upon Tyne, UK
            4 - 8 July 2011
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2011.42
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Brain computer interface (BCI),image search,electroencephalograph (EEG),P300

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