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The Scientific World Journal
Volume 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 [16 citations]

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

  • Kuderna-Iulian Benta, Marcel Cremene, and Mircea-Florin Vaida, “A multimodal affective monitoring tool for mobile learning,” 2015 14th RoEduNet International Conference - Networking in Education and Research (RoEduNet NER), pp. 34–38, . View at Publisher · View at Google Scholar
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  • Raúl Cabestrero, Pilar Quirós, Olga C. Santos, Sergio Salmeron-Majadas, Raul Uria-Rivas, Jesus G. Boticario, David Arnau, Miguel Arevalillo-Herráez, and Francesc J. Ferri, “Some insights into the impact of affective information when delivering feedback to students,” Behaviour & Information Technology, pp. 1–12, 2018. View at Publisher · View at Google Scholar