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Automating assessment in video game teletherapy: Data cutting

Lookup NU author(s): Martin Scott, Dr William Blewitt, Dr Gary Ushaw, Dr Jian Shi, Professor Graham MorganORCiD, Professor Janet Eyre


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In this paper we describe how a video game designed to deliver a rehabilitation therapy can produce data of a standard that is clinically useful. Our approach is based entirely on commodity video game hardware, making our solution one that may be delivered in a cost efficient manner. The step of ensuring data fidelity was crucial in allowing clinical assessment to be derived from standard video game technology without therapist intervention. We achieved this by cutting the data to provide our statistical model with only the information that accurately represented patient activities that contribute to clinical assessment.

Publication metadata

Author(s): Scott M, Blewitt W, Ushaw G, Shi JQ, Morgan G, Eyre J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE)

Year of Conference: 2014

Pages: 9-16

Print publication date: 12/12/2014

Online publication date: 12/12/2014

Acceptance date: 15/09/2014

ISSN: 9781479945283

Publisher: IEEE


DOI: 10.1109/CICARE.2014.7007828