@inbook{2e9cf8b266774f08ab58be90745b1966,
title = "MyHealthAvatar: A lifetime visual analytics companion for citizen well-being",
abstract = "{\textcopyright} Springer International Publishing Switzerland 2016. MyHealthAvatar is a European Commission funded project aimed to design a lifetime companion for citizens to collect, track and store lifestyle and health data to promote citizen well-being. MyHealthAvatar collects and aggregates life-logging data from wearable devices and mobile apps by integrating a variety of life-logging resources, such as Fitbit, Moves, Withings, etc. As a lifelong companion, the data collected will be too large for citizens, patients and doctors to understand and utilise without proper visual presentation and user interaction. This paper presents the key interactive visual analytics components in MyHealthAvatar to facilitate health and lifestyle data presentation and analysis, including 3D avatar, dashboard, diary, timeline, clockview and map to achieve flexible spatio-temporal lifestyle visual analysis to promote citizen well-being.",
keywords = "Interactive visual analytics, Lifestyle analysis, MyHealthAvatar, Wearable computing",
author = "Zhikun Deng and Youbing Zhao and Farzad Parvinzamir and Xia Zhao and Hui Wei and Mu Liu and Xu Zhang and Feng Dong and Enjie Liu and Gordon Clapworthy",
year = "2016",
doi = "10.1007/978-3-319-40259-8_30",
language = "English",
isbn = "9783319402581",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "345--356",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}