Brain-computer interfaces by electrical cortex activity: Challenges in creating a cognitive system for mobile devices using steady-state visually evoked potentials

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

Abstract

The research field of Brain-Computer Interfaces (BCI) emerged in an attempt to enable communication between paralyzed patients and technology. Identifying an individual’s mental state, through his brain’s electric activity, a typical BCI system assigns to it a particular action in the computer. It is known that when the visual cortex is stimulated with a certain frequency, it shows activity with the same frequency. This Steady-State Visually Evoked Potential (SSVEP) activity can be used to achieve the aforementioned communication goal. In this work, we first analyze the spontaneous electrical activity of the brain, to distinguish two mental sates (concentration/meditation). Then, following an SSVEP type of approach, we divide the stimulating screen in four areas, each of which flickering at a distinct frequency. By observing the responding frequency from the occipital lobe of the subject, we can then estimate the 2 bit decision he made. We observe that such a setup is efficient for real time BCI, and can be easily integrated in mobile devices. Besides, the user is able to change voluntarily her/his decisions, interacting with the system in a natural manner.

Original languageEnglish
Title of host publicationTechnological Innovation for Cyber-Physical Systems - 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Proceedings
EditorsL. M. Camarinha-Matos, A. J. Falcão, N. Vafaei, S. Najdi
Place of PublicationCham
PublisherSpringer
Pages135-141
Number of pages7
ISBN (Electronic)978-3-319-31165-4
ISBN (Print)978-3-319-31164-7
DOIs
Publication statusPublished - 2016
Event7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016 - Costa de Caparica, Portugal
Duration: 11 Apr 201613 Apr 2016

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume470
ISSN (Print)1868-4238

Conference

Conference7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016
CountryPortugal
CityCosta de Caparica
Period11/04/1613/04/16

Keywords

  • BCI
  • EEG
  • Mobile device
  • Smartphone
  • SSVEP
  • Tablet

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