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Affective, Natural Interaction Using EEG: Sensors, Application and Future Directions

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Artificial Intelligence: Theories and Applications (SETN 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7297))

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Abstract

ElectroEncephaloGraphy signals have been studied in relation to emotion even prior to the establishment of Affective Computing as a research area. Technological advancements in the sensor and network communication technology allowed EEG collection during interaction with low obtrusiveness levels as opposed to earlier work which classified physiological signals as the most obtrusive modality in affective analysis. The current article provides a critical survey of research work dealing with broadly affective analysis of EEG signals collected during natural or naturalistic interaction. It focuses on sensors that allow such natural interaction (namely NeuroSky and Emotiv), related technological features and affective aspects of applications in several application domains. These aspects include emotion representation approach, induction method and stimuli and annotation chosen for the application. Additionally, machine learning issues related to affective analysis (such as incorporation of multiple modalities and related issues, feature selection for dimensionality reduction and classification architectures) are revised. Finally, future directions of EEG incorporation in affective and natural interaction are discussed.

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Authors and Affiliations

  1. Image, Video and Multimedia Systems Lab, NTUA, Greece

    Charline Hondrou & George Caridakis

Authors
  1. Charline Hondrou
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  2. George Caridakis
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Biomedical Informatics, University of Central Greece, 2-4 Passiopoulou Street, 35100, Lamia, Greece

    Ilias Maglogiannis

  2. Department of Computer Science and Biomedical Informatics, University of Central Greece, 2-4 Papassiopoulou Street, 35100, Lamia, Greece

    Vassilis Plagianakos

  3. Department of Informatics, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece

    Ioannis Vlahavas

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Hondrou, C., Caridakis, G. (2012). Affective, Natural Interaction Using EEG: Sensors, Application and Future Directions. In: Maglogiannis, I., Plagianakos, V., Vlahavas, I. (eds) Artificial Intelligence: Theories and Applications. SETN 2012. Lecture Notes in Computer Science(), vol 7297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30448-4_42

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  • DOI: https://doi.org/10.1007/978-3-642-30448-4_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30447-7

  • Online ISBN: 978-3-642-30448-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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