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dc.contributor.authorZhao, Youbing
dc.contributor.authorParvinzamir, Farzad
dc.contributor.authorZhao, Xia
dc.contributor.authorDeng, Zhikun
dc.contributor.authorErsotelos, Nikolaos
dc.contributor.authorDong, Feng
dc.contributor.authorClapworthy, Gordon J.
dc.date.accessioned2020-07-10T11:37:27Z
dc.date.available2015-12-22T00:00:00Z
dc.date.available2020-07-10T11:37:27Z
dc.date.issued2015-12-22
dc.identifier.citationZhao Y, Parvinzamir F, Zhao X, Deng Z, Ersotelos N, Dong F, Clapworthy G (2015) 'Web-based visual analytics of lifestyle data in MyHealthAvatar', MOBIHEALTH 2015 - 5th EAI International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare through Innovations in Mobile and Wireless Technologies - London, ICST.en_US
dc.identifier.isbn9781631900884
dc.identifier.doi10.4108/eai.14-10-2015.2261796
dc.identifier.urihttp://hdl.handle.net/10547/624199
dc.description.abstractMyHealthAvatar is a project designed to collect lifestyle and health data to promote citizen's wellbeing. As a lifetime companion of citizens the amount of data to be collected is large. It is almost impossible for citizens, patients and doctors to view, utilise and understand these data without proper visual presentation and user interaction. Visual analytics of lifestyle data is one of the key features of MyHealthAvatar. This paper presents the visual analytics components in MyHealthAvatar to facilitate health and lifestyle data presentation and analysis, including 3D avatar, dashboard, diary, timeline, clock view and map. These components can be used cooperatively to achieve flexible visual analysis of spatial temporal lifestyle and health data.en_US
dc.language.isoenen_US
dc.publisherICSTen_US
dc.relation.urlhttps://eudl.eu/doi/10.4108/eai.14-10-2015.2261796en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject3D avataren_US
dc.subjectlifestyle dataen_US
dc.subjecttimelineen_US
dc.subjectClockViewen_US
dc.subjectmapen_US
dc.subjectdashboarden_US
dc.subjectdiaryen_US
dc.subjectvisual analyticsen_US
dc.subjectMyHealthAvataren_US
dc.subjectSubject Categories::B800 Medical Technologyen_US
dc.titleWeb-based visual analytics of lifestyle data in MyHealthAvataren_US
dc.typeConference papers, meetings and proceedingsen_US
dc.date.updated2020-07-10T11:30:09Z
dc.description.noteopen access


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International