FEEDBACK VISUALIZATION INFLUENCE ON A BRAIN-COMPUTER INTERFACE PERFORMANCE
This paper presents our progress in development of a brain computer interface. We used existing system which was extended to support synchronous experiments with feedback. We use the simplest possible methods as we focus on feedback influence. We examined influence of the way how the feedback is visualized. The abstract feedback, the feedback based on computer game, and the feedback showing real photographs were tested. The classification score 88.5% was achieved with one subject even with simple classification method.
Keywords:
BCI, Real-time processing, feedback
Autoři:
Vladimír Černý 1; Jakub Šťastný 1
Působiště autorů:
Biological Signal Lab., Faculty of Electrical Engineering
Czech Technical University in Prague, Prague, Czech Republic
1
Vyšlo v časopise:
Lékař a technika - Clinician and Technology No. 2, 2012, 42, 96-99
Kategorie:
Conference YBERC 2012
Souhrn
This paper presents our progress in development of a brain computer interface. We used existing system which was extended to support synchronous experiments with feedback. We use the simplest possible methods as we focus on feedback influence. We examined influence of the way how the feedback is visualized. The abstract feedback, the feedback based on computer game, and the feedback showing real photographs were tested. The classification score 88.5% was achieved with one subject even with simple classification method.
Keywords:
BCI, Real-time processing, feedback
Zdroje
[1] J. Doležal, J. Šťastný, P. Sovka. Recognition of Direction of Finger Movement From EEG Signal Using Markov Models. In 3rd European Medical and Biological Conference on Biomedical Engineering EMBEC 2005, Prague, pp. 336-341, 2005.
[2] J. Šťastný, J. Doležal, V. Černý, J. Kubový. Design of a modular brain-computer interface. In Applied Electronics, pp. 319-322, 2010.
[3] J. Doležal, J. Šťastný, V. Černý, J. Kubák. Real Time EEG processing. 57. společný sjezd české a slovenské společnosti pro klinickou neurofyziologii, proceedings, pp. 49, 2010.
[4] J. Doležal, V. Černý, J. Šťastný. Constructing a Brain- Computer Interface. In Applied Electronics,. 99-102, 2011.
[5] B. Obermaier, C. Guger, C. Neuper, G. Pfurtscheller. Hidden Markov models for online classification of single trial EEG data. In Pattern Recognition Letters, vol 22, pp 1299-1309, 2001.
[6] B. Obermaier, C. Munteanu, A. Rosa, G. Pfurtscheller. Asymmetric Hemisphere Modeling in an Offline Brain– Computer Interface. In IEEE Trans. On Systems, Man and Cyber. Part C, vol. 32, pp. 536-540, 2001.
[7] G. Pfurtscheller and C. Neuper. Motor Imagery and Direct Brain–Computer Communication. Proceedings of the IEEE, vol. 89, no. 7, pp. 1123-1134, 2001
[8] A. Schloegl, C. Neuper and G. Pfurtscheller. Subject specific EEG patterns during motor imagery. In procceding of 19th International conference IEEG/EMGS, pp. 1530-1532, 1997.
[9] H. Ehrlichman, M. S. Wiener, EEG asymmetry during covert mental activity. In Psychophysiol, vol. 17, pp. 228-235, 1980
[10] C. Neuper. Feedback-Regulated Mental Imagery in BCI Applications: Using Non-Invasive EEG and NIRS Signals. In BBCI Workshop 2009 – Advances in Neurotechnologies, Berlin, 2009.
[11] J. Doležal, V. Černý, J. Šťastný. Online motor-imagery based BCI Study on feedback traning. submitted for publication In Applied Electronics. 2012
[12] J. Štastný. Brain-Computer Interface Research Group website, online: http://amber.feld.cvut.cz/fpga/studenti_kolegove.html
Štítky
BiomedicínaČlánok vyšiel v časopise
Lékař a technika
2012 Číslo 2
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