Quantifying brain activity for task engagement

Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

Volumn , Issue , 2014, Pages 8-11

  Brennan, C P ^a   McCullagh, P ^a   Lightbody, G ^a   Galway, L ^a   Trainor, D ^b  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b Sentireal Sentireal Limited   (United Kingdom)

Author keywords

BCI; EEG; self quantification; usability

Indexed keywords

EID: 84922767787     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2014.6999282     Document Type: Conference Paper

References (16)

1. K. Weintraub Quantified self: The tech-based route to a better life? http://www.bbc.com/future/story/20130102-self-track-route-to-a-betterlife, BBC Future, 3 Jan 2013.
2. E. Waltz. Five Stories From the Front Lines of the "Quantified-Self" Movement, http://spectrum.ieee.org/biomedical/diagnostics/five-storiesfrom-the-front-lines-of-the-quantifiedself-movement, 30 Aug 2012.
3. L. Smarr. Where there is data there is hope. http://quantifiedself.com/2013/02/larry-smarr-croneshope-in-data/ 12 Feb 2013.
4. United States Federal Drug Aadministration http://www.fda.gov/ICECI/EnforcementActions/WarningLetters/2013/u cm376296.htm 22 Nov 2013.
5. Neurotechnology: BRAIN storm http://www.nature.com/news/neurotechnology-brain-storm-1.14105#/Brain, accessed September 2014.
6. B. Z. Allison (2011). Future BNCI: A Roadmap for Future Directions in Brain / Neuronal Computer Interaction Research. [Online] http://futurebnci. org/images/stories/Future-BNCI-Roadmap.pdf [Accessed: February 2014].
7. B.J. Lance, S.E. Kerick, A.J. Ries, K.S. Oie & K. McDowell (2012). Brain-Computer Interface Technologies in the Coming Decades. Proceedings of the IEEE, 100, 1585-1599.
8. B. Allison, B. Graimann and A. Gräser (2007). Why use a BCI if you are healthy? Proceeding of the Brain-Computer Interfaces and Games Workshop at ACE 2007, pp. 7-11., hmi.ewi.utwente.nl/brainplay07-files/brainplay07-proceedings.pdf, Accessed Sept 2014.
9. P. Aspinall, P. Mavros, R. Coyne, & J. Roe, The urban brain: analysing outdoor physical activity with mobile EEG. Br J Sports Med. 2013 Mar 6.
10. Crowley, K., Sliney, A., Pitt, I., & Murphy, D. (2010, July). Evaluating a Brain-Computer Interface to Categorise Human Emotional Response. In ICALT (pp. 276-278).
11. Szafir, D., & Mutlu, B. (2012, May). Pay attention!: designing adaptive agents that monitor and improve user engagement. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 11-20). ACM.
12. Reinecke, K., Cordes, M., Lerch, C., Koutsandréou, F., Schubert, M., Weiss, M., & Baumeister, J. (2011). From lab to field conditions: A pilot study on EEG methodology in applied sports sciences. Applied psychophysiology and biofeedback, 36(4), 265-271.
13. T.O. Zander, C. Kothe, S. Jatzev, & M. Gaertner (2010). Enhancing Human-Computer Interaction with input from active and passive Brain-Computer Interfaces. In: D.S. Tan and A. Nijholt (eds.) Brain-Computer Interfaces, 181-199. Springer, London
14. F.C. Galán, & C.R. Beal (2012). EEG estimates of engagement and cognitive workload predict math problem solving outcomes. User Modeling, Adaptation, and Personalization, 51-62. Springer Berlin Heidelberg.
15. M. Duvinage, T. Castermans, T. Dutoit, M. Petieau, T. Hoellinger, C. De Saedeleer, K. Seetharaman & G. Cheron (2012). "A P300-based Quantitative Comparison between the Emotiv Epoc Headset and a Medical EEG Device," Biomed. Eng. / 765 Telehealth / 766 Assist. Technol., 2012.
16. P. McCullagh, L. Galway & G. Lightbody, "Investigation into a Mixed Hybrid Using SSVEP and Eye Gaze for Optimising User Interaction within a Virtual Environment," Univers. Access Human-Computer Interact. Des. Methods, Tools, Interact. Tech. eInclusion, vol. 8009, pp. 530-539, 2013.