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

Doron Friedman; Anne-Marie Brouwer; Anton Nijholt

doi:10.1145/3030024.3040245

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 proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

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 language	English
Title of host publication	IUI 2017 Companion
Subtitle of host publication	Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion
Publisher	Association for Computing Machinery
Pages	5-7
Number of pages	3
ISBN (Electronic)	978-1-4503-4893-5
DOIs	https://doi.org/10.1145/3030024.3040245
Publication status	Published - 7 Mar 2017
Externally published	Yes
Event	22nd International Conference on Intelligent User Interfaces, IUI 2017 - Limassol, Cyprus Duration: 13 Mar 2017 → 16 Mar 2017 Conference number: 22 http://iui.acm.org/2017/

Conference

Conference	22nd International Conference on Intelligent User Interfaces, IUI 2017
Abbreviated title	IUI 2017
Country/Territory	Cyprus
City	Limassol
Period	13/03/17 → 16/03/17
Internet address	http://iui.acm.org/2017/

Keywords

Brain computer interfaces
EEG
fNIRS

Access to Document

10.1145/3030024.3040245

Cite this

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title = "BCIforReal: An application-oriented approach to BCI out of the laboratory",

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.",

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author = "Doron Friedman and Anne-Marie Brouwer and Anton Nijholt",

year = "2017",

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language = "English",

pages = "5--7",

booktitle = "IUI 2017 Companion",

publisher = "Association for Computing Machinery",

address = "United States",

note = "22nd International Conference on Intelligent User Interfaces, IUI 2017, IUI 2017 ; Conference date: 13-03-2017 Through 16-03-2017",

url = "http://iui.acm.org/2017/",

}

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. Association for Computing Machinery, pp. 5-7, 22nd International Conference on Intelligent User Interfaces, IUI 2017, Limassol, Cyprus, 13/03/17. https://doi.org/10.1145/3030024.3040245

BCIforReal: An application-oriented approach to BCI out of the laboratory. / Friedman, Doron; Brouwer, Anne-Marie; Nijholt, Anton.
IUI 2017 Companion: Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion. Association for Computing Machinery, 2017. p. 5-7.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - BCIforReal

T2 - 22nd International Conference on Intelligent User Interfaces, IUI 2017

AU - Friedman, Doron

AU - Brouwer, Anne-Marie

AU - Nijholt, Anton

N1 - Conference code: 22

PY - 2017/3/7

Y1 - 2017/3/7

N2 - 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.

AB - 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.

KW - Brain computer interfaces

KW - EEG

KW - fNIRS

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DO - 10.1145/3030024.3040245

M3 - Conference contribution

AN - SCOPUS:85016561486

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EP - 7

BT - IUI 2017 Companion

PB - Association for Computing Machinery

Y2 - 13 March 2017 through 16 March 2017

ER -

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

Abstract

Conference

Keywords

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