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Measuring Emotion Regulation with Single Dry Electrode Brain Computer Interface

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Book cover Brain Informatics and Health (BIH 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9250))

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Abstract

Wireless brain computer interfaces (BCI’s) are promising for new intelligent applications in which emotions are detected by measuring brain activity. Applications, such as serious games and video game therapy, are measuring and using the user’s emotional state in order to determine the intensity level of the game. This experimental study was designed to validate the measurement of emotion regulation with a single dry electrode wireless BCI during an emotion interference computer task by comparing it with the behavioural performance of this task. The behavioural measures showed significant main and interaction effects indicating that emotion regulatory mechanisms are present in the participants. The EEG measure Attention detected by the Myndplay Brainband XL showed a significant interaction indicating that type of training (meditation or laughter) increases or decreases attention during the emotion interference task. Overall, these results point in the direction of single electrode BCI’s being able to detect emotion interference.

C.N. van der Wal and M. Irrmischer—Shared first authorship: equal contributions.

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References

  1. Fernández-Aranda, F., Jiménez-Murcia, S., Santamaría, J.J., Gunnard, K., Soto, A., Kalapanidas, E., Penelo, E.: Video games as a complementary therapy tool in mental disorders: PlayMancer, a European multicentre study. Journal of Mental Health 21(4), 364–374 (2012)

    Article  Google Scholar 

  2. Baranowski, T., Buday, R., Thompson, D.I., Baranowski, J.: Playing for real: video games and stories for health-related behavior change. American Journal of Preventive Medicine 34(1), 74–82 (2008)

    Article  Google Scholar 

  3. Kato, P.M.: Video games in health care: Closing the gap. Review of General Psychology 14(2), 113 (2010)

    Article  Google Scholar 

  4. Susi, T., Johannesson, M., Backlund, P.: Serious games: An overview (2007)

    Google Scholar 

  5. Thompson, D., Baranowski, T., Buday, R., Baranowski, J., Thompson, V., Jago, R., Griffith, M.J.: Serious video games for health: how behavioral science guided the design of a Serious Video Game. Simulation & Gaming 41(4), 587–606 (2010)

    Article  Google Scholar 

  6. Examples of Companion and Care Robots. http://www.myjibo.com/, http://www.21stcenturyrobot.com/, http://www.bbc.com/news/technology-27709828, http://www.techunited.nl/en/amigo, http://www.care-o-bot.de/en/care-o-bot-3.html, http://www.parorobots.com/

  7. Tao, J., Tan, T.: Affective computing: a review. In: Tao, J., Tan, T., Picard, R.W. (eds.) ACII 2005. LNCS, vol. 3784, pp. 981–995. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  8. Garcia-Molina, G., Tsoneva, T., Nijholt, A.: Emotional brain–computer interfaces. International Journal of Autonomous and Adaptive Communications Systems 6(1), 9–25 (2013)

    Article  Google Scholar 

  9. Coan, J.A., Allen, J.J.B.: Frontal EEG asymmetry as a moderator and mediator of emotion. Biological Psychology 67(1–2), 7–50 (2004)

    Article  Google Scholar 

  10. Oathes, D.J., Ray, W.J., Yamasaki, A.S., Borkovec, T.D., Castonguay, L.G., Newman, M.G., Nitschke, J.: Worry, generalized anxiety disorder, and emotion: evidence from the EEG gamma band. Biological Psychological 79, 165–170 (2008)

    Article  Google Scholar 

  11. Muller, M.M., Keil, A., Gruber, T., Elbert, T.: Processing of affective pictures modulates right-hemispheric gamma band EEG activity. Clin. Neurophysiology 110, 1913–1920 (1999)

    Article  Google Scholar 

  12. de Man, J.: Analysing Emotional Video Using Consumer EEG Hardware. In: Kurosu, M. (ed.) HCI 2014, Part II. LNCS, vol. 8511, pp. 729–738. Springer, Heidelberg (2014)

    Google Scholar 

  13. Bos, D.O.: EEG-based emotion recognition. The Influence of Visual and Auditory Stimuli, 1−17 (2006)

    Google Scholar 

  14. Ohman, A., Soares, J.J.F.: On the automatic nature of phobic fear: Conditioned electrodermal responses to masked fear-relevant stimuli. Journal of Abnormal Psychology 102, 121–132 (1993)

    Article  Google Scholar 

  15. Soares, J.J.F., Ohman, A.: Preattentive processing, preparedness and phobias: Effects of instruction on conditioned electrodermal responses to masked and non-masked fear-relevant stimuli. Behaviour Research and Therapy 31, 87–95 (1993)

    Article  Google Scholar 

  16. Hansen, C.H., Hansen, R.D.: Finding the face in the crowd: An anger superiority effect. Journal of Personality and Social Psychology 54, 917–924 (1988)

    Article  Google Scholar 

  17. Derryberry, D., Rothbart, M.K.: Reactive and effortful processes in the organization of temperament. Development and Psychopathology 9, 633–652 (1997)

    Article  Google Scholar 

  18. Posner, M.I.: Chronometric explorations of mind. Erlbaum, Potomac (1978)

    Google Scholar 

  19. Buodo, G., Sarlo, M., Palomba, D.: Attentional Resources Measured by Reaction Times Highlight Differences Within Pleasant and Unpleasant. High Arousing Stimuli 1 26(2), 123–138 (2002)

    Google Scholar 

  20. Myndplay Brainband. http://myndplay.com/

  21. Center for the Study of Emotion and Attention (CSEA-NIMH) (1999). The International Affective Picture System: Digitized photographsThe Center for Research in Psychophysiology, University of FloridaGainesville, FL

    Google Scholar 

  22. Swenson, D.: Ashtanga Yoga: The Practice Manual: An Illustrated Guide to Personal Practice (1999)

    Google Scholar 

  23. Laughter Yoga. http://www.laughteryoga.org

  24. Amzica, F., Steriade, M.: Electrophysiological correlates of sleep delta waves. Electroencephalography and Clinical Neurophysiology 107(2), 69–83 (1998)

    Article  Google Scholar 

  25. Landolt, H.P., Dijk, D.J., Gaus, S.E., Borbély, A.A.: Caffeine reduces low-frequency delta activity in the human sleep EEG. Neuropsychopharmacology 12(3), 229–238 (1995)

    Article  Google Scholar 

  26. Dennis, T.A., Solomon, B.: Frontal EEG and emotion regulation: Electrocortical activity in response to emotional film clips is associated with reduced mood induction and attention interference effects. Biological Psychology 85(3), 456–464 (2010)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department Computer Science, Vrije Universiteit, Amsterdam, The Netherlands

    C. Natalie van der Wal

  2. Department Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Amsterdam, The Netherlands

    Mona Irrmischer

Authors
  1. C. Natalie van der Wal
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  2. Mona Irrmischer
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Corresponding author

Correspondence to C. Natalie van der Wal .

Editor information

Editors and Affiliations

  1. Imperial College London , Data Science Institute, London, United Kingdom

    Yike Guo

  2. Institute of Cognitive Neuroscience, University College London, London, United Kingdom

    Karl Friston

  3. Imperial College London, London, United Kingdom

    Faisal Aldo

  4. Campus Biotech, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland

    Sean Hill

  5. Allen Institute for Brain Science, Seattle, USA

    Hanchuan Peng

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© 2015 Springer International Publishing Switzerland

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van der Wal, C.N., Irrmischer, M. (2015). Measuring Emotion Regulation with Single Dry Electrode Brain Computer Interface. In: Guo, Y., Friston, K., Aldo, F., Hill, S., Peng, H. (eds) Brain Informatics and Health. BIH 2015. Lecture Notes in Computer Science(), vol 9250. Springer, Cham. https://doi.org/10.1007/978-3-319-23344-4_18

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  • DOI: https://doi.org/10.1007/978-3-319-23344-4_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23343-7

  • Online ISBN: 978-3-319-23344-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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