Jun 28, 2017 · In this paper, a novel method for affect detection is presented. The method combines both connectivity-based and channel-based features with a selection method
In this paper, a novel method for affect detection is presented. The method combines both connectivity-based and channel-based features with a selection ...
A hybrid dimension feature reduction scheme using a total of 14 different features extracted from EEG recordings that outperforms the state-of-art methods ...
In this paper, a novel method for affect detection is presented. The method combines both connectivity-based and channel-based features with a selection method ...
In this paper, a novel method for affect detection is presented. The method combines both connectivity-based and channel-based features with a selection ...
Mar 18, 2017 · In this paper, a novel method for affect detection is presented. The method combines both connectivity-based and channel-based features with ...
Abstract: In this paper, a novel method for affect detection is presented. The method combines both connectivity-based and channel-based features with a ...
Fingerprint. Dive into the research topics of 'Fusing highly dimensional energy and connectivity features to identify affective states from EEG signals'.
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... Fusing highly dimensional energy and connectivity features to identify affective states from EEG signals,. Neurocomputing (2017), doi: 10.1016/j.neucom.2017.03.
The objectives of this research are to recognize real-time emotions from two-channel EEG brain waves by extracting advanced and discriminative EEG features for ...
Missing: connectivity | Show results with:connectivity