• DocumentCode
    1785053
  • Title

    Quantifying brain activity for task engagement

  • Author

    Brennan, C.P. ; McCullagh, Paul ; Lightbody, G. ; Galway, L. ; Trainor, D.

  • Author_Institution
    Sch. of Comput. & Math., Univ. of Ulster, Newtownabbey, UK
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    8
  • Lastpage
    11
  • 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.
  • Keywords
    brain-computer interfaces; electroencephalography; medical signal processing; BCI; EEG signal; brain activity; brain computer interface; dyslexia; electroencephalographic signal; immersive education; task engagement; Biomedical monitoring; Electroencephalography; Headphones; Monitoring; Training; Usability; BCI; EEG; self-quantification; usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
  • Conference_Location
    Belfast
  • Type

    conf

  • DOI
    10.1109/BIBM.2014.6999282
  • Filename
    6999282