Emotion classification during music listening from forehead biosignals

Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review

“…In Table 3, we specify the most commercially available and widespread devices that have been used in more than five articles. Electrodes: When considering the number of electrodes, time interval required to set up an EEG device, comfort level of subjects, system usability, and number of features to be processed, it is advised, from this standpoint, that fewer electrodes be utilized; for example, five channels were used in [176,190]. Nonetheless, most current EEG devices still require a relatively large number of electrodes; for example, 64 channels were used in [93,95], and 32 channels were used in [43,71,191].…”

“…The computational methods to extract and classify emotional features from EEG are summarized in Table 5. Artificial Neural Network (ANN) 7 [105,176,190,204,216,223,227] It is noteworthy to mention that a single feature extraction technique is not optimal across all of the applications. Besides, existing signals are not enough for high accuracy feature extraction.…”

“…In these studies, brain signals were recorded using an EEG headset while the subject listens to music [44,53,58,100,110,112,115,116,151,154,190,205,216,220,222,235,276,279]. Moreover, the subjects' emotions were recognized as displayed by EEG signals.…”

Reliable emotion recognition system based on dynamic adaptive fusion of forehead biopotentials and physiological signals

“…In each part, different methods have been examined by affective researchers to design an acceptable emotional system [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23]. Eliciting an accurate emotional state comparable with the factual emotional situation, performing effective preprocessing, and using appropriate methods in feature extraction and classification units can improve the Page 10 of 49 A c c e p t e d M a n u s c r i p t 10 performance of the system.…”

“…Gross and Levenson showed that categorized emotional films performed better due to their dynamic nature [39]. The international affective picture system (IAPS) [41], music [13], [18], [23], [25], thoughts and personal imagery, remembering emotional situations and events [14], [42] in addition to multimodal methods [12] are other possible approaches for eliciting different emotional states.…”