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A Sensor-Enabled Smartphone Application to Collect Eating Behavior Data for Population Screening.

Christos Maramis1, Ioannis Moulos1, Ioannis Ioakeimidis2

  • 1Dept. of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Studies in Health Technology and Informatics
|May 27, 2016
PubMed
Summary

A new smartphone app collects detailed eating behavior data using sensors. This technology aids in early screening for obesity and eating disorders (ED) by analyzing eating styles.

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Area of Science:

  • Behavioral informatics
  • Digital health
  • Eating disorder research

Background:

  • Rising global rates of obesity and eating disorders (ED) necessitate effective prevention and treatment strategies.
  • Behavioral informatics (BI) leverages technology to monitor and modify unhealthy behaviors, including eating patterns.
  • Smartphones offer a promising platform for delivering BI interventions for obesity and ED.

Purpose of the Study:

  • To introduce a novel, sensor-enabled smartphone application for collecting in-meal eating behavior data.
  • To enable population screening for obesity and ED risk through detailed analysis of eating styles.
  • To assess the usability and technical feasibility of the developed application.

Main Methods:

  • Development of a sensor-enabled smartphone application to capture in-meal behavioral data.
  • Data collection process designed for multiple subjects over a brief period.
  • Preliminary evaluation of the application's usability and technical soundness.

Main Results:

  • The application successfully captures detailed in-meal eating behavior data.
  • Preliminary evaluations indicate promising usability and technical performance.
  • The collected data can be utilized for assessing obesity and ED risk.

Conclusions:

  • The novel smartphone application shows potential for population-level screening of eating behaviors.
  • This technology can contribute to early identification and prevention of obesity and eating disorders.
  • Further research and validation are warranted to fully realize the application's clinical utility.