Exergames for the elderly: Towards an embedded Kinect-based clinical test of falls risk

Garcia, JA; Felix Navarro, K; Schoene, D; Smith, ST; Pisan, Y

Exergames for the elderly: Towards an embedded Kinect-based clinical test of falls risk

Garcia, JA

Felix Navarro, K Schoene, D Smith, ST Pisan, Y

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Publication Type:: Journal Article
Citation:: Studies in Health Technology and Informatics, 2012, 178 pp. 51 - 57
Issue Date:: 2012-01-01

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Field	Value	Language
dc.contributor.author	Garcia, JA https://orcid.org/0000-0001-5718-1605	en_US
dc.contributor.author	Felix Navarro, K	en_US
dc.contributor.author	Schoene, D	en_US
dc.contributor.author	Smith, ST	en_US
dc.contributor.author	Pisan, Y https://orcid.org/0000-0002-9043-5803	en_US
dc.date.issued	2012-01-01	en_US
dc.identifier.citation	Studies in Health Technology and Informatics, 2012, 178 pp. 51 - 57	en_US
dc.identifier.isbn	9781614990772	en_US
dc.identifier.issn	0926-9630	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26348
dc.description.abstract	Falls are the leading cause of disability, injuries or even death among older adults. Exercise programmes that include a balance component reduce the risk of falling by 40%. However, such interventions are often perceived as boring and drop-out rates are high. The characteristics of videogames may overcome this weakness and increase exercise adherence. The use of modern input devices, such as the Microsoft Kinect, enables quantification of player performance in terms of motor function while engaging with games. This capability has just started to be explored. The work presented in this paper focuses on the development of a Kinect-based system to deliver step training while simultaneously measuring parameters of stepping performance that have shown to predict falls in older people. © 2012 The authors and IOS Press. All rights reserved.	en_US
dc.relation.ispartof	Studies in Health Technology and Informatics	en_US
dc.relation.isbasedon	10.3233/978-1-61499-078-9-51	en_US
dc.subject.classification	Medical Informatics	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Exercise	en_US
dc.subject.mesh	Risk Reduction Behavior	en_US
dc.subject.mesh	Task Performance and Analysis	en_US
dc.subject.mesh	Accidental Falls	en_US
dc.subject.mesh	Video Games	en_US
dc.subject.mesh	Aged	en_US
dc.subject.mesh	Victoria	en_US
dc.subject.mesh	Postural Balance	en_US
dc.title	Exergames for the elderly: Towards an embedded Kinect-based clinical test of falls risk	en_US
dc.type	Journal Article
utslib.citation.volume	178	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	0807 Library and Information Studies	en_US
utslib.for	1117 Public Health and Health Services	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	178	en_US

Abstract:

Falls are the leading cause of disability, injuries or even death among older adults. Exercise programmes that include a balance component reduce the risk of falling by 40%. However, such interventions are often perceived as boring and drop-out rates are high. The characteristics of videogames may overcome this weakness and increase exercise adherence. The use of modern input devices, such as the Microsoft Kinect, enables quantification of player performance in terms of motor function while engaging with games. This capability has just started to be explored. The work presented in this paper focuses on the development of a Kinect-based system to deliver step training while simultaneously measuring parameters of stepping performance that have shown to predict falls in older people. © 2012 The authors and IOS Press. All rights reserved.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/26348