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

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

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Blankertz, Benjamin, Tangermann, Michael, Vidaurre, Carmen, Fazli, Siamac, Sannelli, Claudia, Haufe, Stefan, Maeder, Cecilia, Ramsey, Lenny, Sturm, Irene, Curio, Gabriel, Müller, Klaus-Robert·2010·Frontiers in Neuroscience

DOI 10.3389/fnins.2010.00198PMC PMC3002462

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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.

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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
ORCID: Blankertz, Benjamin
Tangermann, Michael
Vidaurre, Carmen
Fazli, Siamac
Haufe, Stefan
Ramsey, Lenny
Curio, Gabriel
Müller, Klaus-Robert
Venue: Frontiers in Neuroscience
Publisher: Frontiers Media SA
Published: 2010
Volume: 4
Pages: 198-198
ISSN: 1662-453X (ISSN-L)
1662-4548
DOI: 10.3389/fnins.2010.00198
PMC: PMC3002462
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: gold
doi.org
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
Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
Keywords: brain-computer interface, mental state monitoring, healthy volunteers, usability, ease of use, control latency

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

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