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

Research output: Chapter in Book/Report/Conference proceedingChapter

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.
LanguageEnglish
Title of host publicationmbient Assisted Living and Daily Activities
Pages127-132
Publication statusPublished - 9 Dec 2015

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Learning systems
Sensors
Friction

Keywords

  • Autism
  • ASD
  • Agitation
  • Assistive technologies
  • Computer Vision
  • Machine learning
  • NFC
  • Sensors

Cite this

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title = "An approach for agitation detection and intervention in sufferers of autism spectrum disorder",
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.",
keywords = "Autism, ASD, Agitation, Assistive technologies, Computer Vision, Machine learning, NFC, Sensors",
author = "Joseph Rafferty and Jonathan Synnott and Chris Nugent",
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An approach for agitation detection and intervention in sufferers of autism spectrum disorder. / Rafferty, Joseph; Synnott, Jonathan; Nugent, Chris.

mbient Assisted Living and Daily Activities. 2015. p. 127-132.

Research output: Chapter in Book/Report/Conference proceedingChapter

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