Patterns of Cardiovascular and Behavioral Movements in Life-Logging According to Social Emotions
The purpose of this study was to determine the cardiovascular and behavioral patterns to develop a new algorithm of emotion recognition system through only behavioral patterns. However, to achieve this we must compare the features with both cardiovascular responses and subjective evaluations. Seven students were asked to wear PPG sensors and carry their smartphones to track locations and periodically evaluate subjective emotions. The social emotions were categorized into mutuality and sociality dimensions. As a result, in sociality, cardiovascular features implied significant patterns in 8 cardiovascular features (p < 0.01). In mutuality, significant patterns were implied only in total power (p < 0.01). Additionally, results for sociality in behavioral features implied significant patterns in transition time and total distance (p < 0.01). Cardiovascular and behavioral patterns are two factors that can determine the physiological effects of individuals according to emotions.
KeywordsCardiovascular Behavior Social emotions Active Passive Optimistic Pessimistic
This work was supported by the ICT R&D program of MSIP/IITP. [2015-0-00312, The development of technology for social life logging based on analyzing social emotion and intelligence of convergence contents].
- 1.McCraty, R., Atkinson, M., Tomasino, D., Bradley, R.T.: The Coherent Heart. Dana. Publication No. 06-022 (2006)Google Scholar
- 2.Szwoch, W.: Emotion recognition using physiological signals. In: Proceedings of the Mulitimedia, Interaction, Design and Innnovation on ZZZ, MIDI 2015 (2015)Google Scholar
- 6.Parkinson, B., Fischer, A.H., Manstead, A.S.: Emotion in Social Relations, Cultural, Group, and Interpersonal Processes. Psychology Press, New York (2005)Google Scholar