An affective computing approach to physiological emotion specificity: Toward subject-independent and stimulus-independent classification of film-induced emotions

• Published in: Psychophysiology Vol. 48; no. 7; pp. 908 - 922
• Main Authors: Kolodyazhniy, Vitaliy, Kreibig, Sylvia D., Gross, James J., Roth, Walton T., Wilhelm, Frank H.
• Format: Journal Article
• Language: English
• Published: Malden, USA Blackwell Publishing Inc 01.07.2011; Blackwell Publishing Ltd
• Subjects: Adult; Affective computing; Affective neuroscience; Autonomic nervous system; Autonomic Nervous System - physiology; Cardiovascular system; Classification; Electrodermal system; Emotion; Emotions; Emotions - physiology; Feature selection; Female; Galvanic Skin Response - physiology; Heart Rate - physiology; Humans; Indexing in process; Male; Pattern classification; Pattern recognition; Pattern Recognition, Automated - methods; Photic Stimulation; Physiological psychology; Respiration; Respiratory Rate - physiology

The hypothesis of physiological emotion specificity has been tested using pattern classification analysis (PCA). To address limitations of prior research using PCA, we studied effects of feature selection (sequential forward selection, sequential backward selection), classifier type (linear and quad...