Cited by 357EEG and Brain-Computer InterfacesGaze Tracking and Assistive TechnologyEmotion and Mood Recognition

The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology

Open access
Blankertz, Benjamin, Tangermann, Michael, Vidaurre, Carmen, Fazli, Siamac, Sannelli, Claudia, Haufe, Stefan, Maeder, Cecilia, Ramsey, Lenny +3 more·2010·Frontiers in Neuroscience

Abstract

Brain-computer interfacing (BCI) is a steadily growing area of research. While initially BCI research was focused on applications for paralyzed patients, increasingly more alternative applications in healthy human subjects are proposed and investigated. In particular, monitoring of mental states and decoding of covert user states have seen a strong rise of interest. Here, we present some examples of such novel applications which provide evidence for the promising potential of BCI technology for non-medical uses. Furthermore, we discuss distinct methodological improvements required to bring non-medical applications of BCI technology to a diversity of layperson target groups, e.g., ease of use, minimal training, general usability, short control latencies.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fnins.2010.00198

Cites

151 of 151 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

4 of the 155 references couldn’t be matched to a known paper.

Research works printed but not linked: 5

  1. Kübler A. Furdea A. Halder S. Hösle A. (2008). “Brain painting – BCI meets art,” in Proceedings of the 4th International Brain–Computer Interface Workshop and Training Course 2008, eds Müller-Putz G. R. Brunner C. Leeb R. Pfurtscheller G. Neuper C. (Graz: Verlag der Technischen Universität), 361– 366
  2. Maeder C. Sannelli C. Haufe S. Lemm S. Blankertz B. (2010). “Effect of prestimulus SMR amplitude on BCI performance,” in Poster at the TOBI Workshop ‘Integrating Brain–Computer Interfaces with Conventional Assistive Technology’, Graz.
  3. Sturm I. Curio G. Blankertz B. (2010). “Single-trial ERP analysis reveals unconsciously perceived structures of music,” in Poster at the TOBI Workshop ‘Integrating Brain–Computer Interfaces with Conventional Assistive Technology, Graz
  4. Tangermann M. Krauledat M. Grzeska K. Sagebaum M. Blankertz B. Vidaurre C. Müller K.-R. (2009). Playing Pinball with Non-Invasive BCI, in Advances in Neural Information Processing Systems, Vol. 21 (Cambridge, MA: MIT Press), 1641– 1648
  5. Vidaurre C. Sannelli C. Müller K.-R. Blankertz B. (2010). Machine-learning based Co-adaptive calibration. Neural Comput. (in press). 21162666

Cited by

Sorted by citations

Authors
Blankertz, B., Tangermann, M., Vidaurre, C., Fazli, S., Sannelli, C., Haufe, S., Maeder, C., Ramsey, L., Sturm, I., Curio, G., & Müller, K.-R.
Affiliations
  • Fraunhofer Institute for Open Communication Systems (DE)
  • Technische Universität Berlin (DE)
  • Utrecht University (NL)
  • Charité – Universitätsmedizin Berlin (DE)
Corresponding author
Blankertz, Benjamin
Venue
Frontiers in Neuroscience
Published
2010
Volume
4
Pages
198-198
ISSN
  • 1662-453X (ISSN-L)
  • 1662-4548
OpenAlex
W1969715890
Cited by
357
References
155
Citations by year
2026: 8 · 2025: 14 · 2024: 13 · 2023: 20 · 2022: 18 · 2021: 28 · 2020: 30 · 2019: 20 · 2018: 32 · 2017: 32 · 2016: 32 · 2015: 22 · 2014: 33 · 2013: 24 · 2012: 14
FWCI
10.13
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Neuroscience (publishedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • TECNALIA Publications (Fundación TECNALIA Research & Innovation) (submittedVersion, public-domain)
  • Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion, other-oa)
  • Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
Funders
  • Deutsche Forschungsgemeinschaft
  • Bundesministerium für Bildung und Forschung
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
Keywords
brain-computer interface, mental state monitoring, healthy volunteers, usability, ease of use, control latency

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review