Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages678-679
Number of pages2
Volume2017-June
ISBN (Electronic)9781538617106
DOIs
Publication statusPublished - 10 Nov 2017
Event30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Greece
Duration: 22 Jun 201724 Jun 2017

Other

Other30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
CountryGreece
CityThessaloniki
Period22/6/1724/6/17

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Keywords

  • Analysis
  • Biometrics
  • Childhood Obesity
  • Recommendation
  • Visualization
  • Wearable data

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Cite this

Aupetit, M., Fernandez, L., Singh, M., & Srivastava, J. (2017). Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity. In Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017 (Vol. 2017-June, pp. 678-679). [8104277] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.2017.120