A Novel Baseline Removal Paradigm for Subject-Independent Features in Emotion Classification Using EEG

• Published in: Bioengineering (Basel) Vol. 10; no. 1; p. 54
• Main Authors: Ahmed, Md. Zaved Iqubal, Sinha, Nidul, Ghaderpour, Ebrahim, Phadikar, Souvik, Ghosh, Rajdeep
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.01.2023; MDPI
• Subjects: Affective computing; Arousal; baseline removal; Bioengineering; Brain research; Classification; Datasets; Discriminant analysis; EEG; Electroencephalography; emotion classification; Emotional behavior; Emotions; Feature extraction; inverse filtering; Multilayer perceptrons; Neural networks; Physiology; Support vector machines; Visual signals; Visual stimuli; Wavelet transforms; inverse filtering; baseline removal; EEG; emotion classification

Emotion plays a vital role in understanding the affective state of mind of an individual. In recent years, emotion classification using electroencephalogram (EEG) has emerged as a key element of affective computing. Many researchers have prepared datasets, such as DEAP and SEED, containing EEG signa...