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Automatic assessment of problem behaviour in developmental disabilities

Automatic assessment of problem behaviour in developmental disabilities Automatic Assessment of Problem Behaviour in Developmental Disabilities Reuben Kirkham Culture Lab, School of Computing Science, Newcastle University Newcastle Upon Tyne, United Kingdom r.kirkham@newcastle.ac.uk Abstract Many with developmental disabilities, especially severe Autism, exhibit what is clinically known as `problem behaviour', which includes persistent episodes of self-injury, aggression and disruption. Current treatments rely upon manually counting the individual episodes over a period of several weeks, which presents challenges in respect of accuracy, feasibility, and scalability. Situated in the domain of Human Activity Recognition, the goal of this PhD Project is to develop a system that automatically recognizes different types and degrees of problem behaviour on the basis of accelerometer sensor data. The proposed approach is detailed and justified, including how the field of Human Activity Recognition itself can be advanced, together with a clear plan of how the project is to be conducted. 1. Introduction Problem Behaviour in Autism and related disabilities refers to the variety of severe behavior's exhibited by some children, including biting, hand-flapping, self-injury, and other forms of behaviour [1]. Against our current knowledge, Autism remains challenging to treat the implications and impacts of, with the only recognised approach towards analyzing problem behavior's is via the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGACCESS Accessibility and Computing Association for Computing Machinery

Automatic assessment of problem behaviour in developmental disabilities

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2014 by ACM Inc.
ISSN
1558-2337
DOI
10.1145/2591357.2591362
Publisher site
See Article on Publisher Site

Abstract

Automatic Assessment of Problem Behaviour in Developmental Disabilities Reuben Kirkham Culture Lab, School of Computing Science, Newcastle University Newcastle Upon Tyne, United Kingdom r.kirkham@newcastle.ac.uk Abstract Many with developmental disabilities, especially severe Autism, exhibit what is clinically known as `problem behaviour', which includes persistent episodes of self-injury, aggression and disruption. Current treatments rely upon manually counting the individual episodes over a period of several weeks, which presents challenges in respect of accuracy, feasibility, and scalability. Situated in the domain of Human Activity Recognition, the goal of this PhD Project is to develop a system that automatically recognizes different types and degrees of problem behaviour on the basis of accelerometer sensor data. The proposed approach is detailed and justified, including how the field of Human Activity Recognition itself can be advanced, together with a clear plan of how the project is to be conducted. 1. Introduction Problem Behaviour in Autism and related disabilities refers to the variety of severe behavior's exhibited by some children, including biting, hand-flapping, self-injury, and other forms of behaviour [1]. Against our current knowledge, Autism remains challenging to treat the implications and impacts of, with the only recognised approach towards analyzing problem behavior's is via the

Journal

ACM SIGACCESS Accessibility and ComputingAssociation for Computing Machinery

Published: Jan 1, 2014

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