Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining
In electroencephalography (EEG)-based affective brain-computer interfaces (aBCIs), there is a consensus that EEG features extracted from different frequency bands and channels have different abilities in emotion expression. Besides, EEG is so weak and non-stationary that easily causes distribution d...
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Veröffentlicht in: | IEEE transactions on instrumentation and measurement 2021, Vol.70, p.1-11 |
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