Physiological Data Analysis for an Emotional Provoking Exergame
Document Type
Conference Proceeding
Department or Administrative Unit
Computer Science
Publication Date
12-6-2016
Abstract
In this work we enhance our previously developed analysis method of provoked emotions in facial expressions through the analysis of physiological data. The presented work describes the integration of electrodermal activity, respiration and temperature sensors to enhance our exergaming system for emotional provocation. The combined analysis of facial expressions and physiological data is designed to evaluate physical and cognitive stress as well as emotional reactions. The experimental setup combines a cycling game controller with a 3D virtual cycling game to provoke emotions. A designed data recording framework collects frontal videos and physiological data as well as game and controller events. In this work, we found evidence that physiological data analysis enhances the previously developed analysis method. The system is able to evaluate individual differences of an entertaining and balanced workout program.
Recommended Citation
Muller, L., Bernin, A., Ghose, S., Gozdzielewski, W., Qi Wang, Grecos, C., von Luck, K., & Vogt, F. (2016). Physiological data analysis for an emotional provoking exergame. 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 16670410. https://doi.org/10.1109/ssci.2016.7850042
Journal
2016 IEEE Symposium Series on Computational Intelligence (SSCI)
Rights
Copyright © 2016, IEEE
Comments
This article was originally published in 2016 IEEE Symposium Series on Computational Intelligence (SSCI). The article from the publisher can be found here.
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