Seamless Healthcare Monitoring pp 369-412 | Cite as
Automatic Dietary Monitoring Using Wearable Accessories
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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.
Notes
Acknowledgement
This work has been partially funded by the European Union H2020 MSCA ITN ACROSSING project (GA no. 616757).
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