Online Smartwatch System for Emotional Regulation in People with Autism Spectrum Disorder
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2018-08-22
Language
en
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Abstract
One of the symptoms of Autism Spectrum Disorder (ASD) is emotional
dysregulation. Even in cases of high-functioning autism, the tendency to-
wards intense emotional reactions to speci c situations can greatly hinder
a person's quality of life. This project aims to develop a personalized wear-
able system that learns to detect the person's unique stressful responses,
which in turn can aid the user to better recognize triggering moments
and learn appropriate coping skills. The system is developed and tested
on every day out-of-lab use, where normal constraints on data gathering
cannot be applied. The rst software prototype is built without a ma-
chine learning component for the purposes of data collection and feature
extraction. For the nal version several online learning algorithms are
compared and a 1-layer neural network with a Stochastic Gradient Des-
cent optimizer is selected to be used in the study. The experiment aims
to learn whether the chosen model can adapt to user feedback and learn
to accurately classify stressful moments as de ned by each individual. In
turn, the project also looks at the participants are helped by the system to
recognize these moments. The results do not provide conclusive answers
as the experiences of the participants varies. However, steps for improving
the software in future work are outlined in the closing discussion.
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Faculteit der Sociale Wetenschappen