@inproceedings{3f10f3c38dca4e89973877ec6b43f7b1,
title = "Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity",
abstract = "Obesity is one of the major health risk factors behind 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.",
keywords = "Analysis, Biometrics, Childhood Obesity, Recommendation, Visualization, Wearable data",
author = "Michael Aupetit and Luis Fernandez-Luque and Meghna Singh and Jaideep Srivastava",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 ; Conference date: 22-06-2017 Through 24-06-2017",
year = "2017",
month = nov,
day = "10",
doi = "10.1109/CBMS.2017.120",
language = "English",
series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "678--679",
editor = "Bamidis, {Panagiotis D.} and Konstantinidis, {Stathis Th.} and Rodrigues, {Pedro Pereira}",
booktitle = "Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017",
address = "United States",
}