메뉴 건너뛰기




Volumn 8, Issue 4, 2011, Pages

Learning from feedback training data at a self-paced brain-computer interface

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN SIGNALS; CALIBRATION DATA; CRITICAL ISSUES; EXPERIMENTAL STUDIES; FEATURE SPACE; FEEDBACK SIGNAL; GRADIENT-BASED OPTIMIZATION; LEARNING OBJECTIVES; LEARNING TASKS; MAXIMUM MUTUAL INFORMATION; MOTOR IMAGERY; MUTUAL INFORMATIONS; OFF-LINE SIMULATIONS; PREDICTION ERRORS; SPATIAL-SPECTRAL FILTERING; TARGET SIGNALS; TRAINING DATA;

EID: 79960765783     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/8/4/046035     Document Type: Conference Paper
Times cited : (3)

References (43)
  • 4
    • 47749125823 scopus 로고    scopus 로고
    • Adaptation in brain-computer interfaces
    • ed G Dornhege, J del R Millan, T Hinterberger, D McFarland and K R Mueller (Cambridge, MA: MIT Press)
    • del R Millan J et al 2007 Adaptation in brain-computer interfaces Towards Brain-Computer Interfacing ed G Dornhege, J del R Millan, T Hinterberger, D McFarland and K R Mueller (Cambridge, MA: MIT Press)
    • (2007) Towards Brain-Computer Interfacing
    • Del R Millan, J.1
  • 11
    • 33750595956 scopus 로고    scopus 로고
    • An extended EM algorithm for joint feature extraction and classification in brain-computer interfaces
    • Yuanqing Li and Guan C 2006 An extended EM algorithm for joint feature extraction and classification in brain-computer interfaces Neural Comput. 18 2730-61
    • (2006) Neural Comput. , vol.18 , pp. 2730-2761
    • Li, Y.1    Guan, C.2
  • 13
    • 0344849430 scopus 로고    scopus 로고
    • Designing optimal spatial filters for single-trial EEG classification in a movement task
    • DOI 10.1016/S1388-2457(98)00038-8, PII S1388245798000388
    • Muller-Gerking J, Pfurtscheller G and Flyvbjerg H 1999 Designing optimal spatial filtering of single trial EEG classification in a movement task Clin. Neurophys. 110 787-98 (Pubitemid 29281678)
    • (1999) Clinical Neurophysiology , vol.110 , Issue.5 , pp. 787-798
    • Muller-Gerking, J.1    Pfurtscheller, G.2    Flyvbjerg, H.3
  • 18
    • 77952578375 scopus 로고    scopus 로고
    • Application of covariate shift adaptation techniques in brain-computer interfaces
    • Li Y, Kambara H, Koike Y and Sugiyama M 2010 Application of covariate shift adaptation techniques in brain-computer interfaces IEEE Trans. Biomed. Eng. 57 1318-24
    • (2010) IEEE Trans. Biomed. Eng. , vol.57 , pp. 1318-1324
    • Li, Y.1    Kambara, H.2    Koike, Y.3    Sugiyama, M.4
  • 19
    • 78649267093 scopus 로고    scopus 로고
    • A maximum mutual information approach for constructing a 1D continuous control signal at a self-paced brain-computer interface
    • Zhang H and Guan C 2010 A maximum mutual information approach for constructing a 1D continuous control signal at a self-paced brain-computer interface J. Neural Eng. 7 056009
    • (2010) J. Neural Eng. , vol.7 , pp. 056009
    • Zhang, H.1    Guan, C.2
  • 20
    • 0034306053 scopus 로고    scopus 로고
    • A brain-controlled switch for asynchronous control applications
    • Mason S G and Birch G E 2000 A brain-controlled switch for asynchronous control applications IEEE Trans. Rehabil. Eng. 47 1297-307
    • (2000) IEEE Trans. Rehabil. Eng. , vol.47 , pp. 1297-1307
    • Mason, S.G.1    Birch, G.E.2
  • 22
    • 44349139532 scopus 로고    scopus 로고
    • Asynchronous P300-based brain - Computer interfaces: A computational approach with statistical models
    • DOI 10.1109/TBME.2008.919128, 16
    • Zhang H, Guan C and Wang C 2008 Asynchronous p300-based brain-computer interfaces: a computational approach with statistical models IEEE Trans. Biomed. Eng. 55 1754-63 (Pubitemid 351728023)
    • (2008) IEEE Transactions on Biomedical Engineering , vol.55 , Issue.6 , pp. 1754-1763
    • Zhang, H.1    Guan, C.2    Wang, C.3
  • 23
    • 34249029672 scopus 로고    scopus 로고
    • The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects
    • DOI 10.1016/j.neuroimage.2007.01.051, PII S1053811907000535
    • Blankertz B, Dornhege G, Krauledat M, Müller K-R and Curio G 2007 The non-invasive Berlin brain-computer interface: fast acquisition of effective performance in untrained subjects NeuroImage 37 539-50 (Pubitemid 47444247)
    • (2007) NeuroImage , vol.37 , Issue.2 , pp. 539-550
    • Blankertz, B.1    Dornhege, G.2    Krauledat, M.3    Muller, K.-R.4    Curio, G.5
  • 24
    • 47749088937 scopus 로고    scopus 로고
    • A brain-actuated wheelchair: Asynchronous and non-invasive brain-computer interfaces for continuous control of robots
    • Galan F, Nuttin M, Lew E, Ferrez P W, Vanacker G, Philips J and Millán J R 2008 A brain-actuated wheelchair: asynchronous and non-invasive brain-computer interfaces for continuous control of robots Clin. Neurophys. 119 2159-69
    • (2008) Clin. Neurophys. , vol.119 , pp. 2159-2169
    • Galan, F.1    Nuttin, M.2    Lew, E.3    Ferrez, P.W.4    Vanacker, G.5    Philips, J.6    Millán, J.R.7
  • 27
  • 29
    • 33846795833 scopus 로고    scopus 로고
    • EMG and EOG artifacts in brain computer interface systems: A survey
    • DOI 10.1016/j.clinph.2006.10.019, PII S1388245706015124
    • Fatourechi M, Fatourechi A, Ward R K and Birch G E 2007 EMG and EOG artifacts in brain-computer interface systems: a survey Clin. Neurophys. 118 480-94 (Pubitemid 46205416)
    • (2007) Clinical Neurophysiology , vol.118 , Issue.3 , pp. 480-494
    • Fatourechi, M.1    Bashashati, A.2    Ward, R.K.3    Birch, G.E.4
  • 30
    • 2442671691 scopus 로고    scopus 로고
    • Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms
    • DOI 10.1109/TBME.2004.827088
    • Dornhege G, Blankertz B, Curio G and Müller K-R 2004 Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms IEEE Trans. Biomed. Eng. 51 993-1002 (Pubitemid 38661454)
    • (2004) IEEE Transactions on Biomedical Engineering , vol.51 , Issue.6 , pp. 993-1002
    • Dornhege, G.1    Blankertz, B.2    Curio, G.3    Muller, K.-R.4
  • 31
    • 47649120727 scopus 로고    scopus 로고
    • Multiclass common spatial patterns and information theoretic feature extraction
    • DOI 10.1109/TBME.2008.921154, 11
    • Grosse-Wentrup M and Buss M 2008 Multiclass common spatial patterns and information theoretic feature extraction IEEE Trans. Biomed. Eng. 55 1991-2000 (Pubitemid 352013536)
    • (2008) IEEE Transactions on Biomedical Engineering , vol.55 , Issue.8 , pp. 1991-2000
    • Grosse-Wentrup, M.1    Buss, M.2
  • 34
    • 26844572294 scopus 로고    scopus 로고
    • Spatio-spectral filters for improving the classification of single trial EEG
    • DOI 10.1109/TBME.2005.851521
    • Lemm S, Blankertz B, Curio G and Müller K-R 2005 Spatio-spectral filters for improving the classification of single trial EEG IEEE Trans. Biomed. Eng. 52 1541-8 (Pubitemid 41462184)
    • (2005) IEEE Transactions on Biomedical Engineering , vol.52 , Issue.9 , pp. 1541-1548
    • Lemm, S.1    Blankertz, B.2    Curio, G.3    Muller, K.-R.4
  • 36
    • 1842662346 scopus 로고    scopus 로고
    • On the relation between discriminant analysis and mutual information for supervised linear feature extraction
    • DOI 10.1016/j.patcog.2003.12.002, PII S0031320303004138
    • Petridis S and Perantonis S J 2004 On the relation between discriminant analysis and mutual information for supervised linear feature extraction Pattern Recognit. 37 857-74 (Pubitemid 38473832)
    • (2004) Pattern Recognition , vol.37 , Issue.5 , pp. 857-874
    • Petridis, S.1    Perantonis, S.J.2
  • 37
    • 70350346892 scopus 로고
    • User of distance measures, information measures and error bounds in feature evaluation
    • ed P Krishnaiah and L Kanal (Amsterdam: North-Holland)
    • Ben-Bassat M 1982 User of distance measures, information measures and error bounds in feature evaluation Handbook of Statistics ed P Krishnaiah and L Kanal (Amsterdam: North-Holland) pp 773-91
    • (1982) Handbook of Statistics , pp. 773-791
    • Ben-Bassat, M.1
  • 38
    • 0035336996 scopus 로고    scopus 로고
    • Information-theoretic algorithm for feature selection
    • DOI 10.1016/S0167-8655(01)00019-8, PII S0167865501000198
    • Last M, Kander A and Maimon O 2001 Information-theoretic algorithm for feature selection Pattern Recognit. Lett. 22 799-811 (Pubitemid 32411936)
    • (2001) Pattern Recognition Letters , vol.22 , Issue.6-7 , pp. 799-811
    • Last, M.1    Kandel, A.2    Maimon, O.3
  • 39
    • 76749129275 scopus 로고    scopus 로고
    • Supervised feature selection by clustering using conditional mutual information-based distances
    • Sotoca J M and Pla F 2010 Supervised feature selection by clustering using conditional mutual information-based distances Pattern Recognit. 43 2068-81
    • (2010) Pattern Recognit. , vol.43 , pp. 2068-2081
    • Sotoca, J.M.1    Pla, F.2
  • 41
    • 0036933407 scopus 로고    scopus 로고
    • Input feature selection by mutual information based on Parzen window
    • Kwak N and Choi C-H 2002 Input feature selection by mutual information based on Parzen window IEEE Trans. Pattern Anal. Mach. Intell. 24 1667-71
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , pp. 1667-1671
    • Kwak, N.1    Choi, C.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.