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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.

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Notes

  1. 1.

    BMI is an index of weight vs. height, commonly used to classify overweight and obese adults. BMI is defined as body weight in kilogrammes divided by the square of body height in metres, i.e. having a unit.

  2. 2.

    Notice that our mouth intake taxonomy is based on qualitative phenomenological observations. The intention is to discretise the highly complex mouth behaviour in order to suggest potential targets for monitoring procedures.

  3. 3.

    Discretisation implies that only dominant features are considered. As an example consider air inhalation in Table 13.2. We indicate air inhalation as a process that characterises the mouth intake called suck. Physiologically, air inhalation is performed in any type of mouth intake with different degrees of intensity. Nevertheless, we consider air inhalation a dominant component of the suck mouth intake and neglectable for the other types of mouth intake.

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Acknowledgement

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

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    Giovanni Schiboni & Oliver Amft

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Schiboni, G., Amft, O. (2018). Automatic Dietary Monitoring Using Wearable Accessories. In: Tamura, T., Chen, W. (eds) Seamless Healthcare Monitoring. Springer, Cham. https://doi.org/10.1007/978-3-319-69362-0_13

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