Improving User Engagement by Aggregating and Analysing Health and Fitness Data on a Mobile App

Leijdekkers, P Gay, V

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Field	Value	Language
dc.contributor.author	Leijdekkers, P	en_US
dc.contributor.author	Gay, V https://orcid.org/0000-0002-4301-1995	en_US
dc.date.issued	2015	en_US
dc.identifier.citation	Inclusive Smart Cities and e-Health, 2015, pp. 325 - 330	en_US
dc.identifier.isbn	9783319193113	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138146
dc.publisher	Springer International Publishing	en_US
dc.relation.ispartof	Inclusive Smart Cities and e-Health	en_US
dc.relation.isbasedon	10.1007/978-3-319-19312-0_30	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Improving User Engagement by Aggregating and Analysing Health and Fitness Data on a Mobile App	en_US
dc.type	Chapter
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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

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