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

arXiv: https://arxiv.org/abs/1705.03691 · HTML: https://mlsanity.com/paper/1705.03691/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 May 2017.

## Built on by (most cited first, 1 of 1)

- [Visualization and Analysis of Wearable Health Data From COVID-19 Patients](https://mlsanity.com/paper/2201.07698/) (2022)

## Abstract (arXiv)

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.