Recognition of Pilot&#39;s Cognitive State Based on FPA Optimized GP

CAI Zheng-xiang; WU Qi; HUANG Dan; FU Shan

doi:10.3969/j.issn.1671-637x.2016.11.017

[1] AKHANDA M, SIDDIQUE A B, ISLAM S M, et al. Detection of cognitive state for brain-computer interfaces［C］//International Conference on Electrical Information and Communication Technology (EICT), IEEE, 2004: 1-6.

[2] FIRPI H A, VOGELSTEIN R J. Particle swarm optimization-based feature selection for cognitive state detection［C］//Annual International Conference of the IEEE, Engineering in Medicine and Biology Society, EMBC, 2011: 45-52.

[3] WISE J A, HOPKIN V D, GARLAND D J. Hand-book of aviation human factors［M］. BocaRaton: CRC Press, 2009.

[4] MCDONALD N J, SOUSSOU W. Quasar's qstates cognitive gauge performance in the cognitive state assessment competition 2011［C］//Annual International Conference of the IEEE, Engineering in Medicine and Biology Society, EMBC, 2011: 23-31.

[5] GEVINS A, SMITH M E. Neurophysiological measures of working memory and individual differences in cognitive ability and cognitive style［J］. Cerebral Cortex, 2000, 10(1): 829-839.

[6] MAKEIG S, JUNG T P. Changes in alertness are a principal component of variance in the EEG spectrum［J］. Neuroreport, 1995, 7(1): 213-216.

[7] GARAVAN H, ROSS T J, LI S J. A para-metric manipulation of central executive functioning［J］. Cerebral Cortex, 2000, 10(1): 585-592.

[8] THORPE S, FIZE D, MARLOT C. Speed of processing in the human visual system［J］. Nature, 1996, 381: 520-522.

[9] VERWEY W B, VELTMAN H A. Detecting short periods of elevated workload: a comparison of nine workload assessment techniques［J］. Journal of Experimental Psycho-logy: Applied, 1996, 2(1): 270-283.

[10] VERWEY W B, GAILLARD A W K. Physiological work-load reactions to increasing levels of task difficulty［J］. Ergonomics, 1998, 41(5): 656-669.

[11] PATEL M, LAL S K L, KAVANAGH D. Applying neural network analysis on heart rate variability data to assess driver fatigue［J］. Expert Systems with Applications, 2011, 38(5): 7235-7242.

[12] NEUMANN D L. Effect of varying levels of mental workload on startle eyeblink modulation［J］. Ergonomics, 2002, 45(8): 583-602.

[13] PARTALA T, SURAKKA V. Pupil size variation as an indication of affective processing［J］. International Journal of Human-Computer Studies, 2003, 59(1): 185-198.

[16] BAFROUI H H, OHADI A. Application of wavelet energy and Shannon entropy for feature extraction in gear-box fault detection under varying speed conditions［J］. Neurocomputing, 2014, 133(8): 437-445.

[17] AGNEW C E, HAMILTON P K, MCCANN A, et al. Wavelet entropy of Doppler ultra-sound blood velocity flow waveforms distinguishes nitric oxide-modulated states［J］. Ultrasound in Medicine & Biology, 2015, 41(5): 1320-1327.

[18] WANG Y, LI W Z, ZHOU J L, et al. Identification of the normal and abnormal heart sounds using wavelet-time entropy features based on OMS-WPD［J］. Future Gene-ration Computer Systems, 2014, 379(7): 488-495.

[19] SAMUI A, SAMANTARAY S R. Wavelet singular entropy-based islanding detection in distributed generation［J］. IEEE Transactions on Power Delivery, 2013, 28(1): 411-418.

[20] GAETANO A D, RINALDI F, SCIANDRONE M. A patient adaptable ECG beat classifier based on neural networks［J］. Applied Mathematics and Computation, 2009, 213(1): 243-249.

[21] POUNGPONSRI S, YU X H. An adaptive filtering approach for electrocardiogram (ECG) signal noise reduc-tion using neural networks［J］. Neurocomputing, 2013, 117(87): 206-213.

[22] MEHTA S S, LINGAYAT N S. SVM-based algorithm for recognition of QRS complexes in electrocardiogram［J］. IRBM, 2008, 29(5): 310-317.

[23] KOLEY B L, DEY D. Automatic detection of sleep apnea and hypopnea events from single channel measurement of respiration signal employing ensemble binary SVM classifiers［J］. Measurement, 2013, 46(7): 2082-2092.

[24] RASMUSSEN C E. Gaussian processes in machine learning［J］. Advanced Lectures on Machine Learning, 2004, 3176(4): 63-71.

[25] KEMMLER M, RODNER E, DENZLER J. One-class classification with Gaussian processes［J］. Pattern Recognition, 2013, 46(12): 3507-3518.

[26] ZHOU H, WANG L, SUTER D. Human action recognition by feature-reduced Gaussian process classification［J］. Pattern Recognition Letters, 2009, 30(12): 1059-1066.

[27] WANG L, LECKIE C A. Improved Gaussian process classification via feature space rotation［J］. Neurocompu-ting, 2012, 83(6): 89-97.

[28] YANG X S. Flower pollination algorithm for global optimization［J］. Unconventional Computation and Natural Computation, 2012, 7445(2): 242-243.