Building predictive models of emotion with functional near-infrared spectroscopy

• Published in: International journal of human-computer studies Vol. 110; pp. 75 - 85
• Main Authors: Bandara, Danushka, Velipasalar, Senem, Bratt, Sarah, Hirshfield, Leanne
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2018
• Subjects: Affective computing; Arousal classification; Brain signal processing; Emotion classification; fNIRS; Valence classification; Affective computing; fNIRS; Brain signal processing; Arousal classification; Emotion classification; Valence classification

•Goal of this work is to classify affective states of Valence and Arousal using functional Near Infra-Red Spectroscopy.•Use Russel's circumplex model as the representation of affect.•Suggest novel method of using Brain ``Regions of Interest” as a feature extraction technique for fNIRS based mac...