Experiences from a wearable-mobile acquisition system for ambulatory assessment of diet and activity

Kristof Van Laerhoven, Mario Wenzel, Anouk Geelen, Christopher Hübel, Maike Wolters, Antje Hebestreit, Lene Frost Andersen, Pieter van 't Veer, Thomas Kubiak

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

Abstract

Public health trends are currently monitored and diagnosed based on large studies that often rely on pen-and-paper data methods that tend to require a large collection campaign. With the pervasiveness of smart-phones and -watches throughout the general population, we argue in this paper that such devices and their built-in sensors can be used to capture such data more accurately with less of an effort. We present a system that targets a pan-European and harmonised architecture, using smartphones and wrist-worn activity loggers to enable the collection of data to estimate sedentary behavior and physical activity, plus the consumption of sugar-sweetened beverages. We report on a unified pilot study across three countries and four cities (with different languages, locale formats, and data security and privacy laws) in which 83 volunteers were asked to log beverages consumption along with a series of surveys and longitudinal accelerometer data. Our system is evaluated in terms of compliance, obtained data, and first analyses.

Original languageEnglish
Title of host publicationProceedings of the 4th international Workshop on Sensor-Based Activity Recognition and Interaction
Subtitle of host publicationiWOAR 2017
EditorsKristina Yordanova, Max Schröder, Sebastian Bader, Thomas Kirste
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450352239
DOIs
Publication statusPublished - 21 Sep 2017
Event4th international Workshop on Sensor-Based Activity Recognition and Interaction, iWOAR 2017 - Rostock, Germany
Duration: 21 Sep 201722 Sep 2017

Conference

Conference4th international Workshop on Sensor-Based Activity Recognition and Interaction, iWOAR 2017
CountryGermany
CityRostock
Period21/09/1722/09/17

Keywords

  • Activity recognition
  • Barcode scanning
  • Beverage consumption logging
  • Multi-modal data collection
  • Presentation

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  • Cite this

    Van Laerhoven, K., Wenzel, M., Geelen, A., Hübel, C., Wolters, M., Hebestreit, A., ... Kubiak, T. (2017). Experiences from a wearable-mobile acquisition system for ambulatory assessment of diet and activity. In K. Yordanova, M. Schröder, S. Bader, & T. Kirste (Eds.), Proceedings of the 4th international Workshop on Sensor-Based Activity Recognition and Interaction: iWOAR 2017 [3] Association for Computing Machinery. https://doi.org/10.1145/3134230.3134239