Web-based Visual Analytics of Lifestyle Data in MyHealthAvatar

Youbing Zhao; Farzad Parvinzamir; Xia Zhao; Zhikun Deng; Feng Dong; Nikolaos Ersotelos; Gordon Clapworthy

doi:10.4108/eai.14-10-2015.2261796

Web-based Visual Analytics of Lifestyle Data in MyHealthAvatar

Authors

Youbing Zhao University of Bedfordshire
Farzad Parvinzamir University of Bedfordshire
Xia Zhao University of Bedfordshire
Zhikun Deng University of Bedfordshire
Feng Dong University of Bedfordshire
Nikolaos Ersotelos University of Bedfordshire
Gordon Clapworthy University of Bedfordshire

DOI:

https://doi.org/10.4108/eai.14-10-2015.2261796

Abstract

MyHealthAvatar 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.

Downloads

Published

22-12-2015

How to Cite

Zhao Y, Parvinzamir F, Zhao X, Deng Z, Dong F, Ersotelos N, Clapworthy G. Web-based Visual Analytics of Lifestyle Data in MyHealthAvatar. EAI Endorsed Scal Inf Syst [Internet]. 2015 Dec. 22 [cited 2024 May 18];3(11):e1. Available from: https://publications.eai.eu/index.php/sis/article/view/2249

Download Citation

Issue

Vol. 3 No. 11 (2016): EAI Endorsed Transactions on Scalable Information Systems

Section

Research articles

License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.