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

TL;DR

This paper presents a dashboard for visualizing wearable and biometric data to analyze childhood obesity, aiding in understanding health behaviors and guiding interventions.

Contribution

It introduces a novel visualization tool integrating actigraphy and biometric data for childhood obesity analysis.

Findings

Enables quantitative analysis of physical activity and sleep patterns.

Supports behavioral guidance and qualitative research orientation.

Facilitates data-driven decision making in obesity management.

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.