| Contents | 第1-7页 |
| Figure Index | 第7-8页 |
| Table Index | 第8-9页 |
| Abstract | 第9-11页 |
| 摘要 | 第11-12页 |
| 1 Introduction | 第12-26页 |
| ·What Is Brain-Computer Interface | 第12-17页 |
| ·The Functional Parts of a BCI System | 第12-15页 |
| ·The State of Art BCI Systems | 第15-17页 |
| ·The Leading Groups in BCI Area | 第17-18页 |
| ·The Continuous Control in EEG-Based BCI and the Key Problems | 第18-21页 |
| ·An Outline of This Thesis and My Contributions | 第21-23页 |
| ·References | 第23-26页 |
| 2 Neurophysiological Background and Feature Extraction Methods in BCI | 第26-37页 |
| ·Neurophysiological Background | 第26-30页 |
| ·Sensorimotor Rhythms | 第26-27页 |
| ·Challenges | 第27-30页 |
| ·Feature Extraction Methods | 第30-36页 |
| ·Spatial Filters | 第31-32页 |
| ·Spectral Analysis Methods | 第32-34页 |
| ·Statistical Methods | 第34-36页 |
| ·References | 第36-37页 |
| 3 Bayesian Methods in BCI | 第37-53页 |
| ·The Basic Idea of Bayesian Methods | 第37-39页 |
| ·Generative and Discriminative Models | 第39-46页 |
| ·Fisher Linear Discriminant | 第40页 |
| ·Bayesian Logistic Model | 第40-41页 |
| ·Generative and Discriminative Gaussian Mixture Model | 第41-42页 |
| ·Hidden Markov Model | 第42-44页 |
| ·Support Vector Machine | 第44-46页 |
| ·Optimization Methods | 第46-51页 |
| ·Extended Baum-Welch Algorithm | 第46-48页 |
| ·Expectation-Maximization Method and Its Extension | 第48-49页 |
| ·Variational Bayesian Method | 第49-51页 |
| ·References | 第51-53页 |
| 4 Solving Unlabeled Problem Based on EM Algorithm | 第53-70页 |
| ·Motivation and Background | 第53-55页 |
| ·The Proposed Algorithm for Continuous Cursor Prediction | 第55-59页 |
| ·The Proposed Algorithm | 第56-59页 |
| ·Convergence Property | 第59页 |
| ·Implementation of the Proposed Algorithm | 第59-61页 |
| ·Feature Extraction | 第59-60页 |
| ·Classification Algorithm | 第60页 |
| ·Control and Decision | 第60-61页 |
| ·Experimental Results | 第61-67页 |
| ·Results and Comparisons | 第62-63页 |
| ·A Comparison of Error Rates with Different Initial Probabilities | 第63-66页 |
| ·A Further Study of the Efficacy of the Proposed Algorithm | 第66-67页 |
| ·Discussions | 第67-68页 |
| ·References | 第68-70页 |
| 5 GMM Based Accumulative Classifier | 第70-90页 |
| ·Motivation and Background | 第70-72页 |
| ·Accumulative Classification Method Based on Gaussian Mixture Model | 第72-79页 |
| ·Generative and Discriminative Gaussian Mixture Model | 第73-77页 |
| ·Combining the Outputs of GMM Classifier across Time | 第77-79页 |
| ·The Estimation of α_j | 第77-78页 |
| ·The Estimation of β_j | 第78-79页 |
| ·Experimental Results and Discussions | 第79-86页 |
| ·A Comparison of the Performance with Baseline Methods | 第81-83页 |
| ·A Further Study of the Efficacy of the Proposed Algorithm | 第83-86页 |
| ·Discussions | 第86-88页 |
| ·References | 第88-90页 |
| 6 Exploiting Information in BCI Data for Continuous Prediction | 第90-110页 |
| ·Motivation and Background | 第90-92页 |
| ·The ABLM Method for Continuous Prediction | 第92-99页 |
| ·The Proposed Method | 第93-97页 |
| ·The Variations of ABLM Method | 第97-99页 |
| ·Experimental Results | 第99-108页 |
| ·Results and Comparisons in the First Experiment | 第99-101页 |
| ·A Study of the Effect of the Initial Probability | 第101-103页 |
| ·Results and Comparisons in the Second Experiment | 第103-104页 |
| ·The Effect of Prior P(ω) | 第104-105页 |
| ·A Study of the Effect of Accumulative Power | 第105-107页 |
| ·Statistical Analysis of the Results | 第107-108页 |
| ·Discussions | 第108-109页 |
| ·References | 第109-110页 |
| 7 Combining Classifiers in BCI System | 第110-122页 |
| ·Why Combining Classifiers: Majority Voting VS Linear Combination | 第110-112页 |
| ·Accumulative Classification Method by Stacking | 第112-116页 |
| ·Bayesian Logistic Model | 第114-115页 |
| ·Combining Outputs of the Classifier | 第115-116页 |
| ·Experimental Results | 第116-119页 |
| ·A Comparison of the Performance with Baseline Methods | 第117-118页 |
| ·A Further Study of the Efficacy of the Proposed Algorithm | 第118-119页 |
| ·Discussions | 第119-120页 |
| ·References | 第120-122页 |
| 8 Conclusions and Future Works | 第122-124页 |
| ·Conclusions of My Work | 第122-123页 |
| ·Future Research Directions | 第123页 |
| ·References | 第123-124页 |
| Appendix A: Proof of Equation (4.9) in Chapter Four | 第124-126页 |
| Appendix B: Proof of Equations (6.7-6.10) in Chapter Six | 第126-130页 |
| Acknowledgements | 第130-132页 |
| Announcement | 第132-134页 |
| Papers | 第134页 |
