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Emotion dashboard for teachers in special needs education

Ligtenberg, L.E.J. van (2019) Emotion dashboard for teachers in special needs education.

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Abstract:Children with ASD have trouble recognizing their own and others’ affective state. This can cause misinterpretation of the emotions, which can result in emotional outbreaks where the children become unreachable. In special needs education cluster 4 (the category ‘behaviour problems’ in Dutch special needs education), sometimes even the police must come in to take the child in question away for everyone’s safety. Emotion recognition technologies are developing fast in the modern world. There have been multiple successful methods for emotion recognition, mostly with elaborate test setups. Research has shown that affection detection with physiological signals is feasible and more accurate than detection through facial expression for people who have trouble recognizing their own affective state. For this project, it was assumed that there are properly developed emotion detection techniques using a smartwatch. Also, that there are certain patterns in the measurements of the physiological signals from children with ASD connected to certain emotional outbreaks and that predictive models could accurately be created for this. This project aims at creating an interface to be used in a technology that can help teachers to prevent emotional outbreaks of children in special needs education.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Creative Technology BSc (50447)
Link to this item:http://purl.utwente.nl/essays/78865
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