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International Journal of Computer Games Technology
Volume 2018, Article ID 8734540, 14 pages
https://doi.org/10.1155/2018/8734540
Research Article

Automated Analysis of Facial Cues from Videos as a Potential Method for Differentiating Stress and Boredom of Players in Games

1University of Skövde, Skövde, Sweden
2Federal University of Fronteira Sul, Chapecó, SC, Brazil

Correspondence should be addressed to Fernando Bevilacqua; es.sih@auqcaliveb.odnanref

Received 5 December 2017; Revised 22 January 2018; Accepted 30 January 2018; Published 8 March 2018

Academic Editor: Michael J. Katchabaw

Copyright © 2018 Fernando Bevilacqua et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Fernando Bevilacqua, Henrik Engström, and Per Backlund, “Game-Calibrated and User-Tailored Remote Detection of Stress and Boredom in Games,” Sensors, vol. 19, no. 13, pp. 2877, 2019. View at Publisher · View at Google Scholar