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4. Eeg Feature Selection Using Orthogonal Regression: Application To Emotion Recognition

Eeg Feature Selection Using Orthogonal Regression: Application To Emotion Recognition

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IEEE ICASSP 2020 Virtual Conference May 2020

A common drawback of the EEG applications is that the volume conduction of human head leads to lots of redundant information in EEG recordings. To reduce the redundancy and choose informative EEG features, in this paper, we propose an EEG feature selectio

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Eeg Feature Selection Using Orthogonal Regression: Application To Emotion Recognition

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A common drawback of the EEG applications is that the volume conduction of human head leads to lots of redundant information in EEG recordings. To reduce the redundancy and choose informative EEG features, in this paper, we propose an EEG feature selectio