Title

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.

Comments

This article was originally published in 2016 IEEE Symposium Series on Computational Intelligence (SSCI). The article from the publisher can be found here.

Due to copyright restrictions, this article is not available for free download from ScholarWorks @ CWU.

Journal

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

Rights

Copyright © 2016, IEEE

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