Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity
May 10, 2017 Β· Declared Dead Β· π 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)
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Authors
Michael Aupetit, Luis Fernandez-Luque, Meghna Singh, Jaideep Srivastava
arXiv ID
1705.03691
Category
cs.HC: Human-Computer Interaction
Citations
8
Venue
2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)
Last Checked
4 months ago
Abstract
Obesity is one of the major health risk factors be- hind the rise of non-communicable conditions. Understanding the factors influencing obesity is very complex since there are many variables that can affect the health behaviors leading to it. Nowadays, multiple data sources can be used to study health behaviors, such as wearable sensors for physical activity and sleep, social media, mobile and health data. In this paper we describe the design of a dashboard for the visualization of actigraphy and biometric data from a childhood obesity camp in Qatar. This dashboard allows quantitative discoveries that can be used to guide patient behavior and orient qualitative research.
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