1 |
W.-Y. Hsu, "EEG-based motor imagery classification using enhanced active segment selection and adaptive classifier," Computers in Biology and Medicine, In Press, Corrected Proof, Available online 17, 2011.
|
2 |
C. W. Chau, S. Kwong, C. K. Diu, and W. R. Fahrner, "Optimization of HMM by a genetic algorithm," Proc. ICASSP-97, vol. 3, pp. 1727-1730, 1997.
|
3 |
D. Obermaier, C. Guger, C. Neuper, and G. Pfurtscheller, "Hidden markov models for online classification of single trial EEG data," Pattern Recognition Letters, vol. 22, no. 12, pp. 1299-1309, 2001.
DOI
|
4 |
Z. W. Geem and K. B. Sim, "Parameter-setting-free harmony search algorithm," Applied Mathematics and Computation, vol. 217, pp. 3881-3889, 2010.
DOI
ScienceOn
|
5 |
H. K. Lee and S. J. Choi, "PCA+HMM+SVM for EEG pattern classification," Proc. 7th Inter. Symp. on Signal Processing and its Applications, vol. 1, pp. 541-544, July 2003.
|
6 |
C. H. Han, C. S. Oh, and B. W. Choi, "Recognition of fighting motion using a 3D-chain code and HMM," Journal of Institute of Control, Robotics, and Systems (in Korean), vol. 16, no. 8, pp. 756-760, 2010.
과학기술학회마을
DOI
|
7 |
D. W. Lee, K. R, Cho, and S. W. Baek, "Fitness change of mission scheduling algorithm using genetic theory according to the control constants," Journal of Institute of Control, Robotics, and Systems (in Korean), vol. 16, no. 6, pp. 572-578, 2010.
과학기술학회마을
DOI
|
8 |
A. Delorme and S. Makeig, "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics," Journal of Neuroscience Methods, vol. 134, pp. 9-21, 2004
DOI
|
9 |
B. Blankertz, G. Dornhege, M. Krauledat, K.-R. Műller, and G. Curio, "The non-invasive berlin brain-computer interface: fast acquisition of effective performance in untrained subjects," Neuroimage, vol. 37, no. 2, pp. 539-550, 2007
DOI
|
10 |
L. R. Rabiner, "A tutorial on hidden markov models and selected applications in speech recognition," Proc. IEEE, vol. 77, no. 2, pp. 257-285, 1989.
DOI
|
11 |
H. K. Lee and S. J. Choi, "PCA+HMM+SVM for EEG pattern classification," Proc. of the 7th International Symposium in Signal Processing and Its Applications, pp. 541-544, 2003.
|
12 |
C. H, Lee, J. W. Kwon, G. D. Kim, J. E. Hong, D. S. Shin, and D. H. Lee, "A study on EEG based concentration transmission and brain computer interface application," Journal of the Electrics Engineering of Korea, vol. 46, SC, no. 2, pp. 41-45, 2009.
과학기술학회마을
|
13 |
K. B. Sim, H. G. Yeom, and I. Y. Lee, "EEG signals measurement and analysis method for brain-computer interface," Journal of Korean Institute of Intelligent Systems (in Korean), vol. 18, no. 5, pp. 605-610, 2008.
과학기술학회마을
DOI
|
14 |
K. E. Ko and K. B. Sim, "Optimization of HMM structure with HSA for EEG sequence analysis," 2011 ICROS Annual Conference (in Korean), 2011.
|
15 |
R. Durbin, S. Eddy, A. Krogh, and G. Mitchison, "Biological sequence analysis," Cambridge, UK: Cambridge University Press, 1998.
|
16 |
W.-Y. Hsu and Y.-N. Sun, "EEG-based motor imagery analysis using weighted wavelet transform features," Journal of Neuroscience Methods, vol. 176, no. 2, pp. 310-318, 2009.
DOI
|
17 |
W.-Y. Hsu, "EEG-based motor imagery classification using neuro-fuzzy prediction and wavelet fractal features," Journal of Neuroscience Methods, vol. 189, no. 2, pp. 295-302, 2010.
DOI
|
18 |
K.-J. Won, A. Prűgel-Bennett, and A. Krogh, "Training HMM structure with genetic algorithm for biological sequence analysis," Bioinformatics, vol. 20, no. 18, pp. 3613-3619, Dec. 2004.
DOI
ScienceOn
|