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Interactive Digital Serious Games for the Assessment, Rehabilitation, and Prediction of Dementia

Kazmi, Sayed
Ugail, Hassan
Lesk, Valerie E.
Palmer, Ian J.
Publication Date
2014-11-24
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© 2014 Sayed Kazmi et al. This is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Accepted for publication
2014-11-03
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Abstract
Dementia is a serious, progressive, and often debilitating illness with no known cure, having a severe adverse effect on memory, behaviour, reasoning, and communication. A comprehensive review of current refereed research material in the use of games in this area is scarce and suffers from being orientated towards commercially available games or derivatives such as “Dr. Kawashima’s brain training.” There is much lesser concern for bespoke research grade alternatives. This review will attempt to assess the current state of the art in research orientated games for dementia, importantly identifying systems capable of prediction before the onset of the disease. It can be ascertained from the literature reviewed that there are clearly a large number of interactive computer game based mechanisms used for dementia. However, these are each highly intrusive in terms of affecting normal living and the patient is aware of being tested; furthermore their long-term or real benefits are unknown as is their effect over conventional tests. It is important to predict cognitive impairment at a stage early enough to maximise benefit from treatment and therapeutic intervention. Considering the availability, use, and increasing power of modern mobile smartphones, it is logically plausible to explore this platform for dementia healthcare.
Version
published version paper
Citation
Kazmi S, Ugail H, Lesk VE and Palmer IJ (2014) Interactive Digital Serious Games for the Assessment, Rehabilitation, and Prediction of Dementia. International Journal of Computer Games Technology. Vol. 2014, Article ID 701565, 11p.
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