Paper Info
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 disorders 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 introduces 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 prediction system based on supervised machine learning. Future work will identify the best performing machine-learning technique and will evaluate the approach.
Year
DOI
Venue
2015
10.1007/978-3-319-26410-3_13
IWAAL
Keywords
Field
DocType
Autism,ASD,Agitation,Assistive technologies,Computer vision,Machine learning,NFC,Sensors
Autism,Population,Computer science,Human–computer interaction,Autism spectrum disorder,Smart phone,Prediction system
Conference
Volume
ISSN
Citations 
9455
0302-9743
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Joseph Rafferty15410.70
Jonathan Synnott2205.25
Chris D. Nugent31150128.39