Measuring Emotion Regulation with Single Dry Electrode Brain Computer Interface

C.N. van der Wal, M. Irrmischer

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademic

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.
Original languageEnglish
Title of host publicationBrain Informatics and Health - 8th International Conference, BIH 2015, Proceedings
EditorsY. Guo, K. Friston, A. Faisal, S. Hill, H. Peng
Place of PublicationSwitzerland
PublisherSpringer International Publishing
Pages181-191
Number of pages11
Volume9250
ISBN (Print)9783319233437
DOIs
Publication statusPublished - 2015
Event8th International Conference on Brain Informatics and Health, BIH 2015 - London, United Kingdom
Duration: 30 Aug 20152 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9250
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Brain Informatics and Health, BIH 2015
CountryUnited Kingdom
CityLondon
Period30/08/152/09/15

Keywords

  • Affective computing
  • Brain computer interface
  • EEG
  • Emotion regulation
  • Myndplay brainband

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