Towards Emotion Detection in Educational Scenarios from Facial Expressions and Body Movements through Multimodal Approaches
We report current findings when considering video recordings of facial expressions and body movements to provide affective personalized support in an educational context from an enriched multimodal emotion detection approach. In particular, we describe an annotation methodology to tag facial express...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/484873 |
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| _version_ | 1832564295935721472 |
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| author | Mar Saneiro Olga C. Santos Sergio Salmeron-Majadas Jesus G. Boticario |
| author_facet | Mar Saneiro Olga C. Santos Sergio Salmeron-Majadas Jesus G. Boticario |
| author_sort | Mar Saneiro |
| collection | DOAJ |
| description | We report current findings when considering video recordings of facial expressions and body movements to provide affective personalized support in an educational context from an enriched multimodal emotion detection approach. In particular, we describe an annotation methodology to tag facial expression and body movements that conform to changes in the affective states of learners while dealing with cognitive tasks in a learning process. The ultimate goal is to combine these annotations with additional affective information collected during experimental learning sessions from different sources such as qualitative, self-reported, physiological, and behavioral information. These data altogether are to train data mining algorithms that serve to automatically identify changes in the learners’ affective states when dealing with cognitive tasks which help to provide emotional personalized support. |
| format | Article |
| id | doaj-art-d3fb2ec7a1b94c56ae17f599fbd08e1e |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-d3fb2ec7a1b94c56ae17f599fbd08e1e2025-02-03T01:11:26ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/484873484873Towards Emotion Detection in Educational Scenarios from Facial Expressions and Body Movements through Multimodal ApproachesMar Saneiro0Olga C. Santos1Sergio Salmeron-Majadas2Jesus G. Boticario3aDeNu Research Group, Artificial Intelligence Department, UNED, Calle Juan del Rosal 16, 28040 Madrid, SpainaDeNu Research Group, Artificial Intelligence Department, UNED, Calle Juan del Rosal 16, 28040 Madrid, SpainaDeNu Research Group, Artificial Intelligence Department, UNED, Calle Juan del Rosal 16, 28040 Madrid, SpainaDeNu Research Group, Artificial Intelligence Department, UNED, Calle Juan del Rosal 16, 28040 Madrid, SpainWe report current findings when considering video recordings of facial expressions and body movements to provide affective personalized support in an educational context from an enriched multimodal emotion detection approach. In particular, we describe an annotation methodology to tag facial expression and body movements that conform to changes in the affective states of learners while dealing with cognitive tasks in a learning process. The ultimate goal is to combine these annotations with additional affective information collected during experimental learning sessions from different sources such as qualitative, self-reported, physiological, and behavioral information. These data altogether are to train data mining algorithms that serve to automatically identify changes in the learners’ affective states when dealing with cognitive tasks which help to provide emotional personalized support.http://dx.doi.org/10.1155/2014/484873 |
| spellingShingle | Mar Saneiro Olga C. Santos Sergio Salmeron-Majadas Jesus G. Boticario Towards Emotion Detection in Educational Scenarios from Facial Expressions and Body Movements through Multimodal Approaches The Scientific World Journal |
| title | Towards Emotion Detection in Educational Scenarios from Facial Expressions and Body Movements through Multimodal Approaches |
| title_full | Towards Emotion Detection in Educational Scenarios from Facial Expressions and Body Movements through Multimodal Approaches |
| title_fullStr | Towards Emotion Detection in Educational Scenarios from Facial Expressions and Body Movements through Multimodal Approaches |
| title_full_unstemmed | Towards Emotion Detection in Educational Scenarios from Facial Expressions and Body Movements through Multimodal Approaches |
| title_short | Towards Emotion Detection in Educational Scenarios from Facial Expressions and Body Movements through Multimodal Approaches |
| title_sort | towards emotion detection in educational scenarios from facial expressions and body movements through multimodal approaches |
| url | http://dx.doi.org/10.1155/2014/484873 |
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