Unveiling the Influence of Modeling Approach and Gender in Subject Independent Multimodal Emotion Recognition Using EOG and PPG

• Published in: IEEE access Vol. 12; pp. 177342 - 177354
• Main Authors: Ramaswamy, Manju Priya Arthanarisamy, Palaniswamy, Suja
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Affective computing; Arousal; Brain modeling; DEAP; Electroencephalography; Electromyography; electrooculogram; Electrooculography; Emotion recognition; Emotions; Gender; Independent variables; Measurement; modeling; Physiology; plethysmograph; Predictive models; Solid modeling; Speech recognition; subject independent; Training

Multimodal emotion recognition is identifying emotions from multiple modalities like facial expressions, speech, gestures, text and physiological signals such as electroencephalogram (EEG), electrooculogram (EOG) and plethysmograph (PPG). This work focuses on emotion recognition using EOG and PPG. V...