EEG based emotion classification using “correlation based subset selection”
DD Chakladar, S Chakraborty�- Biologically inspired cognitive architectures, 2018 - Elsevier
Emotion detection is one of the popular research topics in “Brain–Computer Interfacing”
where researchers are trying to find the various emotional states of people. EEG signal is
widely used for detecting different categories of emotions. The EEG signal is captured
through multiple electrode channels, very few of them are useful for emotion detection. In our
paper, a “Correlation-based subset selection” technique is introduced for dimension
reduction. Then we proceed with classification process using “Higher Order Statistics”�…
where researchers are trying to find the various emotional states of people. EEG signal is
widely used for detecting different categories of emotions. The EEG signal is captured
through multiple electrode channels, very few of them are useful for emotion detection. In our
paper, a “Correlation-based subset selection” technique is introduced for dimension
reduction. Then we proceed with classification process using “Higher Order Statistics”�…