Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques

Xu, G Zhang, Y Begg, RK

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Field	Value	Language
dc.contributor.author	Xu, G	en_US
dc.contributor.author	Zhang, Y	en_US
dc.contributor.author	Begg, RK	en_US
dc.date.issued	2006-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science, 2006, 4093 pp. 296 - 307	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33764
dc.publisher	Springer Berlin / Heidelberg	en_US
dc.relation.ispartof	Lecture Notes in Computer Science	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques	en_US
dc.type	Journal Article
utslib.citation.volume	4093	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/Strength - AAI - Advanced Analytics Research Centre
utslib.copyright.status	closed_access
pubs.declined	1970-01-01T00:00:00.0+1000
pubs.consider-herdc	true	en_US
pubs.publication-status	Published	en_US
pubs.volume	4093	en_US

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