The DOI matches its Crossref record; 151 of the 155 references it cites were found in a registry or an index.
The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
Open accessAbstract
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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Cites
Yaşlı Kadınlarda Üreme Sağlığı
Kokanalı, D., & Engin Üstün, Y. (n.d.) · DergiPark (Istanbul University) · Cited by 170,090
Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal
Ndiaye, M., Lespez, L., Tribolo, C., Rassé, M., Hadjas, I., Davidoux, S., Huysecom, É., & Douze, K. (2024) · Monash University Research Portal (Monash University) · doi:10.3929/ethz-b-000667478 · Cited by 24,214
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927
Event-related EEG/MEG synchronization and desynchronization: basic principles
Pfurtscheller, G., & Lopes da Silva, F. H. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00141-8 · Cited by 7,328
EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
Klimesch, W. (1999) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00056-3 · Cited by 6,889
Actual causes of death in the United States
McGinnis, J. M. (1993) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1993.03510180077038 · Cited by 5,480
Actual Causes of Death in the United States, 2000
Mokdad, A. H. (2004) · JAMA · doi:10.1001/jama.291.10.1238 · Cited by 5,211
Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential
Leski, S., Lindén, H., Tetzlaff, T., Pettersen, K. H., & Einevoll, G. T. (2013) · PubMed · doi:10.18154/rwth-conv-084442 · Cited by 3,667
Farwell, L. A., & Donchin, E. (1988) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(88)90149-6 · Cited by 3,228
A review of classification algorithms for EEG-based brain–computer interfaces
Lotte, F., Congedo, M., Lécuyer, A., Lamarche, F., & Arnaldi, B. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/r01 · Cited by 2,665
Research works printed but not linked: 5
- 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
- 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.
- 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
- 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
- Vidaurre C. Sannelli C. Müller K.-R. Blankertz B. (2010). Machine-learning based Co-adaptive calibration. Neural Comput. (in press). 21162666
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Lawhern, V. J., Solon, A. J., Waytowich, N. R., Gordon, S. M., Hung, C. P., & Lance, B. J. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aace8c · Cited by 5,115
Brain Computer Interfaces, a Review
Nicolas-Alonso, L. F., & Gomez-Gil, J. (2012) · Sensors · doi:10.3390/s120201211 · Cited by 2,143
Review of the BCI Competition IV
Tangermann, M., Müller, K.-R., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C., Leeb, R., Mehring, C., Miller, K. J., Müller-Putz, G. R., et al. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00055 · Cited by 1,288
Self-citationVisual and Auditory Brain–Computer Interfaces
Gao, S., Wang, Y., Gao, X., & Hong, B. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2300164 · Cited by 451
Estimating workload using EEG spectral power and ERPs in the n-back task
Brouwer, A.-M., Hogervorst, M. A., van Erp, J. B. F., Heffelaar, T., Zimmerman, P. H., & Oostenveld, R. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/4/045008 · Cited by 407
Metadata
- 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
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2010
- Volume
- 4
- Pages
- 198-198
- ISSN
- 1662-453X (ISSN-L)
- 1662-4548
- 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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