NDLI: Emotion recognition based on physiological signals using valence-arousal model

Content Provider	IEEE Xplore Digital Library
Author	Basu, Saikat Jana, Nabakumar Bag, Arnab Mahadevappa M. Mukherjee, Jayanta Kumar, Somesh Guha, Rajlakshmi
Copyright Year	2015
Description	Author affiliation: School of Medical Science and Technology, Indian Institute of Technology Kharagpur, India (Basu, Saikat; Mahadevappa M) \|\| Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India (Mukherjee, Jayanta) \|\| Student Counselling Centre, Indian Institute of Technology Kharagpur, India (Guha, Rajlakshmi) \|\| Department of Mathematics, Indian Institute of Technology Kharagpur, India (Jana, Nabakumar; Kumar, Somesh) \|\| Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, India (Bag, Arnab)
Abstract	This paper considers two dimensional valence-arousal model. Pictorial stimuli of International Affective Picture Systems were chosen for emotion elicitation. Physiological signals like, Galvanic Skin Response, Heart Rate, Respiration Rate and Skin Temperature were measured for accessing emotional responses. The experimental procedure uses non-invasive sensors for signal collection. A group of healthy volunteers was shown four types of emotional stimuli categorized as High Valence High Arousal, High Valence Low Arousal, Low Valence High Arousal and Low Valence Low Arousal for around thirty minutes for emotion elicitation. Linear and Quadratic Discriminant Analysis are used and compared to the emotional class classification. Classification of stimuli into one of the four classes has been attempted on the basis of measurements on responses of experimental subjects. If classification is restricted within the responses of a specific individual, the classification results show high accuracy. However, if the problem is extended to entire population, the accuracy drops significantly.
Starting Page	50
Ending Page	55
File Size	1325872
Page Count	6
File Format	PDF
e-ISBN	9781509001484
DOI	10.1109/ICIIP.2015.7414739
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Heart rate Emotion recognition Protocols Physiological signals Autonomic Nervous Systems (ANS) Covariance matrices
Content Type	Text
Resource Type	Article

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