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

Michael Kai Petersen, Carsten Stahlhut, Arkadiusz Stopczynski, Jakob Eg Larsen, Lars Kai Hansen

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    Abstract

    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
    Title of host publicationAffective 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
    Publication statusPublished - 2011
    EventConference of the HUMAINE Association on Affective Computing and Intelligent Interaction (ACII) - Memphis, Tennessee, United States
    Duration: 9 Oct 201112 Oct 2011
    Conference number: 4
    http://www.acii2011.org/home

    Conference

    ConferenceConference of the HUMAINE Association on Affective Computing and Intelligent Interaction (ACII)
    Number4
    CountryUnited States
    CityMemphis, Tennessee
    Period09/10/201112/10/2011
    Internet address
    SeriesLecture Notes in Computer Science
    Number6975
    ISSN0302-9743

    Keywords

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

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