Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model J Hu, J Min Cognitive neurodynamics 12, 431-440, 2018 | 138 | 2018 |
Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system J Min, P Wang, J Hu PLoS one 12 (12), e0188756, 2017 | 123 | 2017 |
Driver fatigue detection system using electroencephalography signals based on combined entropy features Z Mu, J Hu, J Min Applied Sciences 7 (2), 150, 2017 | 110 | 2017 |
Comparison of different features and classifiers for driver fatigue detection based on a single EEG channel J Hu Computational and mathematical methods in medicine 2017 (1), 5109530, 2017 | 99 | 2017 |
Real‐time eye tracking for the assessment of driver fatigue J Xu, J Min, J Hu Healthcare technology letters 5 (2), 54-58, 2018 | 94 | 2018 |
Automated detection of driver fatigue based on AdaBoost classifier with EEG signals J Hu Frontiers in computational neuroscience 11, 72, 2017 | 92 | 2017 |
EEG-based person authentication using a fuzzy entropy-related approach with two electrodes Z Mu, J Hu, J Min Entropy 18 (12), 432, 2016 | 73 | 2016 |
Driving fatigue detecting based on EEG signals of forehead area Z Mu, J Hu, J Yin International Journal of Pattern Recognition and Artificial Intelligence 31 …, 2017 | 71 | 2017 |
New biometric approach based on motor imagery EEG signals J Hu 2009 International Conference on Future BioMedical Information Engineering …, 2009 | 52 | 2009 |
Method of individual identification based on electroencephalogram analysis X Bao, J Wang, J Hu 2009 international conference on new trends in information and service …, 2009 | 50 | 2009 |
Application of energy entropy in motor imagery EEG classification J Hu, D Xiao, Z Mu International Journal of Digital Content Technology and its Applications 3 …, 2009 | 50 | 2009 |
An approach to EEG-based gender recognition using entropy measurement methods J Hu Knowledge-Based Systems 140, 134-141, 2018 | 49 | 2018 |
First-principles study the phase stability and mechanical properties of binary W-Mo alloys D Jiang, Q Zhou, L Xue, T Wang, J Hu Fusion Engineering and Design 130, 56-61, 2018 | 48 | 2018 |
Ensemble classifier for driver's fatigue detection based on a single EEG channel P Wang, J Min, J Hu IET Intelligent Transport Systems 12 (10), 1322-1328, 2018 | 41 | 2018 |
Design and application of brain-computer interface web browser based on VEP J Yin, D Jiang, J Hu 2009 International Conference on Future BioMedical Information Engineering …, 2009 | 38 | 2009 |
Classification of motor imagery EEG signals based on energy entropy D Xiao, Z Mu, J Hu 2009 International Symposium on Intelligent Ubiquitous Computing and …, 2009 | 38 | 2009 |
Biometric system based on EEG signals by feature combination J Hu 2010 International Conference on Measuring Technology and Mechatronics …, 2010 | 35 | 2010 |
A hybrid model for EEG-based gender recognition P Wang, J Hu Cognitive neurodynamics 13 (6), 541-554, 2019 | 33 | 2019 |
Noise robustness analysis of performance for EEG-based driver fatigue detection using different entropy feature sets J Hu, P Wang Entropy 19 (8), 385, 2017 | 30 | 2017 |
Comparison of different entropies as features for person authentication based on EEG signals Z Mu, J Hu, J Min, J Yin IET Biometrics 6 (6), 409-417, 2017 | 29 | 2017 |