Automatic Recognition of Student Engagement using Deep Learning and Facial Expression.

@inproceedings{Nezami2018AutomaticRO,
  title={Automatic Recognition of Student Engagement using Deep Learning and Facial Expression.},
  author={Omid Mohamad Nezami and Mark Dras and Len Hamey and Deborah Richards and Stephen Wan and C{\'e}cile Paris},
  year={2018}
}
Engagement is a key indicator of the quality of learning experience, and one that plays a major role in developing intelligent educational interfaces. Any such interface requires the ability to recognise the level of engagement in order to respond appropriately; however, there is very little existing data to learn from, and new data is expensive and difficult to acquire. This paper presents a deep learning model to improve engagement recognition from images that overcomes the data sparsity… CONTINUE READING

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