BCIforReal: An application-oriented approach to BCI out of the laboratory

Doron Friedman, Anne-Marie Brouwer, Anton Nijholt

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

Abstract

In principle, brain-computer interfaces (BCIs) hold the promise for being the ultimate intelligent interfaces - what could surpass an interface that is able to interpret your thoughts and preferences, in real time, and behave accordingly? In practice, it is still not quite clear if and how BCIs can contribute to or replace existing interaction paradigms. In the last 10-20 years BCI research focused on providing patients who lost their ability to communicate through the usual channels (speech) with ways of communication that are directly based on brain signals. While a lot of progress has been made, very few patients actually use BCI in their daily life. Moreover, it is not clear whether BCI has any advantage for non-clinical applications and for able-bodied individuals.

Original languageEnglish
Title of host publicationIUI 2017 Companion
Subtitle of host publicationProceedings of the 22nd International Conference on Intelligent User Interfaces Companion
PublisherAssociation for Computing Machinery (ACM)
Pages5-7
Number of pages3
ISBN (Electronic)978-1-4503-4893-5
DOIs
Publication statusPublished - 7 Mar 2017
Externally publishedYes
Event22nd International Conference on Intelligent User Interfaces, IUI 2017 - Limassol, Cyprus
Duration: 13 Mar 201716 Mar 2017
Conference number: 22
http://iui.acm.org/2017/

Conference

Conference22nd International Conference on Intelligent User Interfaces, IUI 2017
Abbreviated titleIUI 2017
CountryCyprus
CityLimassol
Period13/03/1716/03/17
Internet address

Keywords

  • Brain computer interfaces
  • EEG
  • fNIRS

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    Friedman, D., Brouwer, A-M., & Nijholt, A. (2017). BCIforReal: An application-oriented approach to BCI out of the laboratory. In IUI 2017 Companion: Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion (pp. 5-7). Association for Computing Machinery (ACM). https://doi.org/10.1145/3030024.3040245