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2016 | OriginalPaper | Chapter

The Use of Gamification Techniques in a Clinical Setting for the Collection of Longitudinal Kinematic Data

Authors : Andrew Ennis, Ian Cleland, Chris Nugent, Laura Finney, David Trainor, Aidan Bennett

Published in: Ubiquitous Computing and Ambient Intelligence

Publisher: Springer International Publishing

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Abstract

Children with physical impairments, ranging from impaired mobility to very limited mobility, often require mobility aids to compensate for these difficulties. These impairments can adversely affect the child to varying degrees and have an impact on their health and wellbeing. It is estimated that 30 %–40 % of medical interventions have no reported evidence base and another 20 % of interventions delivered are ineffective. Clinicians are under increasing pressure to provide evidence of the effectiveness of prescribed treatments and products. Therefor there is a need to provide clinicians with empirical data that evidences practice and provides a quantified assessment of treatment efficacy through data gathering in both real-time and longitudinally, combined with data analytics to further develop treatment strategies. This paper presents a system to assist and enable clinicians to analyze and asses the effectiveness and usage of prescribed treatments for physically impaired children. The system achieves this through the use of a gamified data collection app and a web portal to analyze and present summarized measures of gait.

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Metadata
Title
The Use of Gamification Techniques in a Clinical Setting for the Collection of Longitudinal Kinematic Data
Authors
Andrew Ennis
Ian Cleland
Chris Nugent
Laura Finney
David Trainor
Aidan Bennett
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-48746-5_27

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