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Automatic Dietary Monitoring Using Wearable Accessories

  • Giovanni SchiboniEmail author
  • Oliver Amft
Chapter
First Online:

Abstract

This chapter provides an introduction to the field of automatic dietary monitoring (ADM) that intends to derive diet-related behaviour information from unobtrusive sensors and data analysis algorithms. A conceptual gap found in most literature reviews on the relation of physiology and dietary activities is filled. A consistent knowledge-based physiological model for dietary activities is presented. A biomedical approach is adopted to retrieve phenomenological insights of the food preparation, intake, and digestion processes. A taxonomy of dietary activities and a literature review of wearable sensing approaches and dietary dimensions across all dietary activities are also presented.

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Notes

Acknowledgement

This work has been partially funded by the European Union H2020 MSCA ITN ACROSSING project (GA no. 616757).

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Authors and Affiliations

  1. 1.ACTLab Research GroupUniversity of PassauPassauGermany

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