Smartphones Get Emotional: Mind Reading Images and Reconstructing the Neural Sources

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2011

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Combining a 14 channel neuroheadset with a smartphone to capture and process brain imaging data, we demonstrate the ability to distinguish among emotional responses re ected in dierent scalp potentials when viewing pleasant and unpleasant pictures compared to neutral content. Clustering independent components across subjects we are able to remove artifacts and identify common sources of synchronous brain activity, consistent with earlier ndings based on conventional EEG equipment. Applying a Bayesian approach to reconstruct the neural sources not only facilitates dierentiation of emotional responses but may also provide an intuitive interface for interacting with a 3D rendered model of brain activity. Integrating a wireless EEG set with a smartphone thus offers completely new opportunities for modeling the mental state of users as well as providing a basis for novel bio-feedback applications.
Original languageEnglish
TitleAffective Computing and Intelligent Interaction : 4th International Conference, ACII 2011 Memphis, TN, USA, October 9-12, 2011 Proceedings, Part II
EditorsS. D ́Mello
Volume2
PublisherSpringer
Publication date2011
Pages578-587
ISBN (print)978-3-642-24570-1
ISBN (electronic)978-3-642-24571-8
DOIs
StatePublished

Conference

ConferenceConference of the HUMAINE Association on Affective Computing and Intelligent Interaction (ACII)
Number4
CountryUnited States
CityMemphis, Tennessee
Period09/10/1112/10/11
Internet addresshttp://www.acii2011.org/home
NameLecture Notes in Computer Science
Number6975
ISSN (Print)0302-9743
CitationsWeb of Science® Times Cited: No match on DOI

Keywords

  • Mobile EEG, Aective computing, Source reconstruction, ICA clustering
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