Determination of Biological Signal for Emotion Identification

In this paper, we suggest the optimal biological parameters from ANS (Autonomous Nervous System) for emotion identification. For this, 25 subjects were supposed to watch some video clips which induced either positive or negative emotion while we were measuring their ECG, GSR, and SKT. The collected data was processed and analyzed to identify emotion of subjects. Here, we used SVM(support vector machine) and Neural Network as a pattern recognition tool. Even though the two results from SVM and N/N method were little bit different in the degree of accuracy, we eventually could select 3 parameters of ANS. So we decided these three parameters as the optimal minimum parameters for emotion identification.

[1]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[2]  K. H. Kim,et al.  Emotion recognition system using short-term monitoring of physiological signals , 2004, Medical and Biological Engineering and Computing.

[3]  Rajita Sinha,et al.  Multivariate Response Patterning of Fear and Anger , 1996 .

[4]  Jennifer Healey,et al.  Toward Machine Emotional Intelligence: Analysis of Affective Physiological State , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  V. Shusterman,et al.  Analysis of skin-temperature variability compared to variability of blood pressure and heart rate , 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.

[6]  P. Ekman,et al.  Voluntary facial action generates emotion-specific autonomic nervous system activity. , 1990, Psychophysiology.

[7]  Christine L. Lisetti,et al.  Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals , 2004, EURASIP J. Adv. Signal Process..

[8]  Anil K. Jain,et al.  Artificial Neural Networks: A Tutorial , 1996, Computer.

[9]  Mika P. Tarvainen,et al.  An advanced detrending method with application to HRV analysis , 2002, IEEE Transactions on Biomedical Engineering.

[10]  J. Andreassi.  Psychophysiology: Human Behavior and Physiological Response , 1980 .