Physiological data analysis for an emotional provoking exergame

Müller, Larissa, Bernin, Arne, Ghose, Sobin, Gozdzielewski, Wojtek, Wang, Qi, Grecos, Christos, von Luck, Kai and Vogt, Florian (2016) Physiological data analysis for an emotional provoking exergame. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. ISBN 9781509042401

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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.

Item Type:	Book Section
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software G Geography. Anthropology. Recreation > GV Recreation Leisure > Games and Amusements > Computer Games. Video Games. B Philosophy. Psychology. Religion > Psychology > Stress (Psychology)
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	27 Feb 2019 11:53
Last Modified:	12 Mar 2019 12:48
URI:	https://norma.ncirl.ie/id/eprint/3597

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