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Introduction to statistical pattern recognition (2nd ed.)
Elements of information theory
Elements of information theory
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Neural Computation
Augmented Cognition: Allocation of Attention
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 5 - Volume 5
Feature extraction by non parametric mutual information maximization
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Image Feature Extraction by Sparse Coding and Independent Component Analysis
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Blind source separation via generalized eigenvalue decomposition
The Journal of Machine Learning Research
ICA using spacings estimates of entropy
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Application of Classical and Model-Based Spectral Methods to Describe the State of Alertness in EEG
Journal of Medical Systems
GMM-Based Classification Method for Continuous Prediction in Brain-Computer Interface
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Journal of VLSI Signal Processing Systems
ICA and committee machine-based algorithm for cursor control in a BCI system
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Ensemble of SVMs for improving brain computer interface p300 speller performances
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Input feature selection for classification problems
IEEE Transactions on Neural Networks
Towards ambulatory brain-computer interfaces: a pilot study with P300 signals
Proceedings of the International Conference on Advances in Computer Enterntainment Technology
Review article: Human scalp EEG processing: Various soft computing approaches
Applied Soft Computing
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We present an ambulatory cognitive state classification system to assess the subject's mental load based on EEG measurements. The ambulatory cognitive state estimator is utilized in the context of a real-time augmented cognition (AugCog) system that aims to enhance the cognitive performance of a human user through computer-mediated assistance based on assessments of cognitive states using physiological signals including, but not limited to, EEG. This paper focuses particularly on the offline channel selection and feature projection phases of the design and aims to present mutual-information-based techniques that use a simple sample estimator for this quantity. Analyses conducted on data collected from 3 subjects performing 2 tasks (n-back/Larson) at 2 difficulty levels (low/high) demonstrate that the proposed mutual-information-based dimensionality reduction scheme can achieve up to 94% cognitive load estimation accuracy.