Using a cVEP-based Brain-Computer Interface to control a virtual agent

Riechmann H, Finke A, Ritter H (2016)
IEEE Transactions on Neural Systems and Rehabilitation Engineering 24(6): 692-699.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Riechmann, HannesUniBi; Finke, AndreaUniBi ; Ritter, HelgeUniBi
Einrichtung
Technische Fakultät > AG Neuroinformatik
Center of Excellence - Cognitive Interaction Technology CITEC
Erscheinungsjahr
2016
Zeitschriftentitel
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Band
24
Ausgabe
6
Seite(n)
692-699
ISSN
1534-4320
eISSN
1558-0210
Page URI
https://pub.uni-bielefeld.de/record/2712269

Zitieren

Riechmann H, Finke A, Ritter H. Using a cVEP-based Brain-Computer Interface to control a virtual agent. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2016;24(6):692-699.
Riechmann, H., Finke, A., & Ritter, H. (2016). Using a cVEP-based Brain-Computer Interface to control a virtual agent. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(6), 692-699. doi:10.1109/TNSRE.2015.2490621
Riechmann, Hannes, Finke, Andrea, and Ritter, Helge. 2016. “Using a cVEP-based Brain-Computer Interface to control a virtual agent”. IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (6): 692-699.
Riechmann, H., Finke, A., and Ritter, H. (2016). Using a cVEP-based Brain-Computer Interface to control a virtual agent. IEEE Transactions on Neural Systems and Rehabilitation Engineering 24, 692-699.
Riechmann, H., Finke, A., & Ritter, H., 2016. Using a cVEP-based Brain-Computer Interface to control a virtual agent. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(6), p 692-699.
H. Riechmann, A. Finke, and H. Ritter, “Using a cVEP-based Brain-Computer Interface to control a virtual agent”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, 2016, pp. 692-699.
Riechmann, H., Finke, A., Ritter, H.: Using a cVEP-based Brain-Computer Interface to control a virtual agent. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24, 692-699 (2016).
Riechmann, Hannes, Finke, Andrea, and Ritter, Helge. “Using a cVEP-based Brain-Computer Interface to control a virtual agent”. IEEE Transactions on Neural Systems and Rehabilitation Engineering 24.6 (2016): 692-699.

9 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Introducing chaotic codes for the modulation of code modulated visual evoked potentials (c-VEP) in normal adults for visual fatigue reduction.
Shirzhiyan Z, Keihani A, Farahi M, Shamsi E, GolMohammadi M, Mahnam A, Haidari MR, Jafari AH., PLoS One 14(3), 2019
PMID: 30840671
Discriminative codewaves: a symbolic dynamics approach to SSVEP recognition for asynchronous BCI.
Georgiadis K, Laskaris N, Nikolopoulos S, Kompatsiaris I., J Neural Eng 15(2), 2018
PMID: 28967866
Enhancing Performance and Bit Rates in a Brain-Computer Interface System With Phase-to-Amplitude Cross-Frequency Coupling: Evidences From Traditional c-VEP, Fast c-VEP, and SSVEP Designs.
Dimitriadis SI, Marimpis AD., Front Neuroinform 12(), 2018
PMID: 29867425
A Novel c-VEP BCI Paradigm for Increasing the Number of Stimulus Targets Based on Grouping Modulation With Different Codes.
Wei Q, Liu Y, Gao X, Wang Y, Yang C, Lu Z, Gong H., IEEE Trans Neural Syst Rehabil Eng 26(6), 2018
PMID: 29877842
A Dual Stimuli Approach Combined with Convolutional Neural Network to Improve Information Transfer Rate of Event-Related Potential-Based Brain-Computer Interface.
Li W, Li M, Zhou H, Chen G, Jin J, Duan F., Int J Neural Syst 28(10), 2018
PMID: 30185104
A multi-target brain-computer interface based on code modulated visual evoked potentials.
Liu Y, Wei Q, Lu Z., PLoS One 13(8), 2018
PMID: 30118504
Exploiting the heightened phase synchrony in patients with neuromuscular disease for the establishment of efficient motor imagery BCIs.
Georgiadis K, Laskaris N, Nikolopoulos S, Kompatsiaris I., J Neuroeng Rehabil 15(1), 2018
PMID: 30373619
Code-modulated visual evoked potentials using fast stimulus presentation and spatiotemporal beamformer decoding.
Wittevrongel B, Van Wolputte E, Van Hulle MM., Sci Rep 7(1), 2017
PMID: 29118386
Toward FRP-Based Brain-Machine Interfaces-Single-Trial Classification of Fixation-Related Potentials.
Finke A, Essig K, Marchioro G, Ritter H., PLoS One 11(1), 2016
PMID: 26812487
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