Physiological emotion analysis using support vector regression

• Published in: Neurocomputing (Amsterdam) Vol. 122; pp. 79 - 87
• Main Authors: Chang, Chuan-Yu, Chang, Chuan-Wang, Zheng, Jun-Ying, Chung, Pau-Choo
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 25.12.2013
• Subjects: Emotion induction experiment; Emotion recognition; Emotion trend curve; Emotions; Face recognition; Facial; Physiological responses; Physiological signal; Recognition; Regression analysis; Support vector machines; Support vector regression; Trends; Emotion recognition; Support vector regression; Emotion trend curve; Emotion induction experiment; Physiological signal

Physical and mental diseases were deeply affected by stress and negative emotions. In general, emotions can be roughly recognized by facial expressions. Since facial expressions may be controlled and expressed differently by different people subjectively, inaccurate are very likely to happen. It is...