Machine Learning
Machine Learning
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pairwise classification and support vector machines
Advances in kernel methods
Robust Real-Time Face Detection
International Journal of Computer Vision
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
A visual approach for driver inattention detection
Pattern Recognition
Using EEG spectral components to assess algorithms for detecting fatigue
Expert Systems with Applications: An International Journal
Classification of cerebral palsy gait by Kernel Fisher Discriminant Analysis
International Journal of Hybrid Intelligent Systems - Computational Models for Life Sciences
Driver drowsiness detection with eyelid related parameters by Support Vector Machine
Expert Systems with Applications: An International Journal
Gabor-based dynamic representation for human fatigue monitoring in facial image sequences
Pattern Recognition Letters
A driver fatigue recognition model based on information fusion and dynamic Bayesian network
Information Sciences: an International Journal
Random Subspace Method in Text Categorization
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Real-time system for monitoring driver vigilance
IEEE Transactions on Intelligent Transportation Systems
Fuzzy Fusion of Eyelid Activity Indicators for Hypovigilance-Related Accident Prediction
IEEE Transactions on Intelligent Transportation Systems
The curvelet transform for image denoising
IEEE Transactions on Image Processing
Driver Inattention Monitoring System for Intelligent Vehicles: A Review
IEEE Transactions on Intelligent Transportation Systems
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In order to develop Human-centric Driver Fatigue Monitoring Systems HDFMS with aims to increase driving safety, an efficient combined features extraction from Curvelet transform and Gabor wavelet transform for fatigue expressions descriptions of vehicle drivers is proposed, and Random Subspace Ensemble RSE of Support Vector Machines SVMs with polynomial kernel as the base classifier is then exploited for classification of three predefined fatigue expressions classes, namely, awake expressions, moderate fatigue expressions, and severe fatigue expressions. The results of holdout and cross-validation experiments show that CF by RSE of SVMs with polynomial kernel outperforms other seven classifiers, i.e., Curvelet features by SVMs classifier, Gabor features by SVMs classifier, CF by five individual SVMs classifiers. With CF and RSE of SVMs with polynomial kernel, the classification accuracies of drivers' fatigue expressions are over 90% in both of the holdout and cross-validation experiments, which show the proposed approach of combined features extraction and RSE of SVMs can be used for developing Human-centric Driver Fatigue Monitoring Systems to increase driving safety.