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An approach for agitation detection and intervention in sufferers of autism spectrum disorder

Rafferty, Joseph, Synnott, Jonathan and Nugent, Chris (2015) An approach for agitation detection and intervention in sufferers of autism spectrum disorder. In: mbient Assisted Living and Daily Activities. Springer, pp. 127-132. ISBN 978-3-319-26409-7 [Book section]

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Abstract

Autism spectrum disorder (ASD) is a condition that is being diagnosed in a growing portion of the population. ASD represents a range of complex dis-orders with a number of symptoms including social difficulties and behavioral issues. Some individuals suffering from ASD are prone to incidents of agitation that can lead to escalation and meltdowns. Such incidents represent a risk to the individuals with ASD and others who share their environment. This paper intro-duces a novel approach to monitor triggers for these incidents with an aim to detect and predict an incident happening. Non-invasive sensors monitor factors within an environment that may indicate such an incident. Combined with an NFC and smart phone based mechanism to report incidents in a relatively friction free manner. These reports will be combined with sensor records to train a pre-diction system based on supervised machine learning. Future work will identify the best performing machine-learning technique and will evaluate the approach.

Item Type:Book section
Keywords:Autism, ASD, Agitation, Assistive technologies, Computer Vision, Machine learning, NFC, Sensors
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:32590
Deposited By: Mr Joseph Rafferty
Deposited On:20 Nov 2015 15:02
Last Modified:20 Nov 2015 15:02

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