Comprehensive analysis of feature extraction methods for emotion recognition from multichannel eeg recordings

HIGHLIGHTS

  • who: Rajamanickam Yuvaraj and collaborators from the National Institute of Education, Nanyang Technological University, Singapore, Singapore Montreal Neurological Institute, McGill University, Montreal, QC H A , Canada have published the Article: Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings, in the Journal: Sensors 2023, 23, 915. of /2023/
  • what: To that end, this study provides a comprehensive analysis of electroencephalogram (EEG) measures of emotional states, categorized in terms of valence (positive vs. negative) and arousal (high vs. low). Considering the popularity of EEG as a measure of emotion, and its increasing . . .

     

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