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The Scientific World Journal
Volume 2014 (2014), Article ID 484873, 14 pages
http://dx.doi.org/10.1155/2014/484873
Research Article

Towards Emotion Detection in Educational Scenarios from Facial Expressions and Body Movements through Multimodal Approaches

aDeNu Research Group, Artificial Intelligence Department, UNED, Calle Juan del Rosal 16, 28040 Madrid, Spain

Received 31 August 2013; Accepted 11 March 2014; Published 22 April 2014

Academic Editors: J. Shu and F. Yu

Copyright © 2014 Mar Saneiro 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 [5 citations]

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

  • Sergio Salmeron-Majadas, Olga C. Santos, and Jesus G. Boticario, “An Evaluation of Mouse and Keyboard Interaction Indicators towards Non-intrusive and Low Cost Affective Modeling in an Educational Context,” Procedia Computer Science, vol. 35, pp. 691–700, 2014. View at Publisher · View at Google Scholar
  • Mohammed Hazim Alkawaz, Ahmad Hoirul Basori, and Siti Zaiton Mohd Hashim, “Oxygenation absorption and light scattering driven facial animation of natural virtual human,” Multimedia Tools and Applications, 2016. View at Publisher · View at Google Scholar
  • Olga C. Santos, Raul Uria-Rivas, Cristina Rodriguez-Sanchez, and Jesus G. Boticario, “An Open Sensing and Acting Platform for Context-Aware Affective Support in Ambient Intelligent Educational Settings,” IEEE Sensors Journal, pp. 1–1, 2016. View at Publisher · View at Google Scholar
  • Woonghee Lee, Hwangnam Kim, Suk Kyu Lee, and Mungyu Bae, “CEPP: Perceiving the emotional state of the user based on body posture,” Applied Sciences (Switzerland), vol. 7, no. 10, 2017. View at Publisher · View at Google Scholar
  • L B Krithika, K Venkatesh, S Rathore, and M Harish Kumar, “Facial recognition in education system,” IOP Conference Series: Materials Science and Engineering, vol. 263, pp. 042021, 2017. View at Publisher · View at Google Scholar