Analysing emotional video using consumer EEG hardware

J. de Man

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Low-cost, easy to use EEG hardware produced for the consumer-market provide interesting possibilities for human-computer interaction in a wide variety of applications. Recent years have produced numerous papers discussing the use of these types of devices in various ways, but only some of this work looks into what these devices can actually measure. In this paper, data is used that has been collected using a Myndplay Brainband, while 30 participants viewed emotional videos eliciting different mental states. This data is analysed by looking at average power in multiple frequency bands and eSense
LanguageEnglish
Title of host publicationProceedings of the 16th International Conference on Human-Computer Interaction, HCI'14
PublisherSpringer Verlag
Pages729-738
DOIs
Publication statusPublished - 2014

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Human computer interaction
Electroencephalography
Frequency bands
Hardware
Costs

Cite this

de Man, J. (2014). Analysing emotional video using consumer EEG hardware. In Proceedings of the 16th International Conference on Human-Computer Interaction, HCI'14 (pp. 729-738). Springer Verlag. https://doi.org/10.1007/978-3-319-07230-2_69
de Man, J. / Analysing emotional video using consumer EEG hardware. Proceedings of the 16th International Conference on Human-Computer Interaction, HCI'14. Springer Verlag, 2014. pp. 729-738
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de Man, J 2014, Analysing emotional video using consumer EEG hardware. in Proceedings of the 16th International Conference on Human-Computer Interaction, HCI'14. Springer Verlag, pp. 729-738. https://doi.org/10.1007/978-3-319-07230-2_69

Analysing emotional video using consumer EEG hardware. / de Man, J.

Proceedings of the 16th International Conference on Human-Computer Interaction, HCI'14. Springer Verlag, 2014. p. 729-738.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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de Man J. Analysing emotional video using consumer EEG hardware. In Proceedings of the 16th International Conference on Human-Computer Interaction, HCI'14. Springer Verlag. 2014. p. 729-738 https://doi.org/10.1007/978-3-319-07230-2_69