Quantifying Brain Activity for Task Engagement

CP Brennan, PJ McCullagh, G Lightbody, Leo Galway, D Trainor

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

1 Citation (Scopus)
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Abstract

This paper addresses the potential of the Brain Computer Interface (BCI) for self-quantification through recording and analysis of brain activity. From the electroencephalographic (EEG) signal it is possible to quantify and investigate brain activity, allowing, for example, a measure of engagement with tasks to be derived, states of relaxation or anxiety to be determined, or levels of alertness to be assessed. This can be of particular use in areas such as immersive education, where an objective measure of task engagement would be of value. As such it may be possible to measure engagement but also to identify people who may not be able to engage fully, such as people with dyslexia.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages8-11
Number of pages4
Publication statusPublished - Nov 2014
Event2014 IEEE International Conference on Bioinformatics and Biomedicine - Belfast
Duration: 1 Nov 2014 → …

Conference

Conference2014 IEEE International Conference on Bioinformatics and Biomedicine
Period1/11/14 → …

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Keywords

  • BCI
  • usability
  • self-quantification
  • EEG

Cite this

Brennan, CP., McCullagh, PJ., Lightbody, G., Galway, L., & Trainor, D. (2014). Quantifying Brain Activity for Task Engagement. In Unknown Host Publication (pp. 8-11). IEEE.