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Collecting big behavioral data for measuring behavior against obesity.

Vasileios Papapanagiotou, Ioannis Sarafis, Christos Diou

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 6, 2020
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    This study introduces an automated system to objectively track individual behaviors like physical activity and travel patterns. This data aids in understanding population-level activity for obesity prevention in young people.

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    Area of Science:

    • Public Health
    • Behavioral Science
    • Data Science

    Background:

    • Rising global obesity rates necessitate early intervention strategies.
    • Understanding population-level behavior at a neighborhood scale is crucial for effective obesity prevention.
    • Objective, individual-level data on physical activity and mobility are needed.

    Purpose of the Study:

    • To develop and evaluate an automated system for collecting individual-level behavioral data.
    • To extract information on physical activity, visited locations, and transportation modes.
    • To support the BigO project's goal of preventing obesity in young populations.

    Main Methods:

    • Utilized indicator-extraction algorithms from existing literature.
    • Applied algorithms to publicly available datasets for evaluation.
    • Integrated the system within the EU-funded BigO project framework.

    Main Results:

    • Demonstrated the system's capability to automatically collect detailed behavioral data.
    • Validated the effectiveness of employed indicator-extraction algorithms.
    • Provided a foundation for objective, large-scale behavioral analysis.

    Conclusions:

    • The developed system offers an objective method for assessing individual behaviors relevant to obesity.
    • This approach enables detailed, region-scale insights into physical activity and mobility patterns.
    • The system is a valuable tool for obesity prevention initiatives targeting youth.