Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training
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Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training. / Bender, Thomas; Kjaer, Troels W.; Thomsen, Carsten E.; Sorensen, Helge B D; Puthusserypady, S.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2013. p. 4279-4282 6610491.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training
AU - Bender, Thomas
AU - Kjaer, Troels W.
AU - Thomsen, Carsten E.
AU - Sorensen, Helge B D
AU - Puthusserypady, S.
PY - 2013/10/31
Y1 - 2013/10/31
N2 - This paper presents a novel and computationally simple tri-training based semi-supervised steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI). It is implemented with autocorrelation-based features and a Naïve-Bayes classifier (NBC). The system uses nine characters presented on a 100 Hz CRT-monitor, three scalp electrodes for signal acquisition, a gUSB-amp for preamplification and two PCs for data-processing and stimulus control respectively. Preliminary test results of the system on nine healthy subjects, with and without tri-training, indicates that the accuracy improves as a result of tri-training.
AB - This paper presents a novel and computationally simple tri-training based semi-supervised steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI). It is implemented with autocorrelation-based features and a Naïve-Bayes classifier (NBC). The system uses nine characters presented on a 100 Hz CRT-monitor, three scalp electrodes for signal acquisition, a gUSB-amp for preamplification and two PCs for data-processing and stimulus control respectively. Preliminary test results of the system on nine healthy subjects, with and without tri-training, indicates that the accuracy improves as a result of tri-training.
KW - Autocorrelation
KW - Brain-Computer Interface
KW - Naïve-Bayes Classifier
KW - Steady-State Visual Evoked Potentials
KW - Tri-training
U2 - 10.1109/EMBC.2013.6610491
DO - 10.1109/EMBC.2013.6610491
M3 - Article in proceedings
C2 - 24110678
AN - SCOPUS:84886483574
SN - 9781457702167
SP - 4279
EP - 4282
BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ER -
ID: 120786973