2024
DOI: 10.1088/2057-1976/ad31f9
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Emotion recognition with reduced channels using CWT based EEG feature representation and a CNN classifier

Md Sultan Mahmud,
Shaikh Anowarul Fattah,
Mohammad Saquib
et al.

Abstract: Objective. Although emotion recognition has been studied for decades, a more accurate classification method that requires less computing is still needed. At present, in many studies, EEG features are extracted from all channels to recognize emotional states, however, there is a lack of an efficient feature domain that improves classification performance and reduces the number of EEG channels. Approach. In this study, a continuous wavelet transform (CWT)-based feature representation of multi-channel EEG data is… Show more

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