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Practicality Aspects of Automatic Fluid Intake Monitoring via Smartwatches

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Human-Computer Interaction (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14014))

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Abstract

Daily sufficient fluid intake is one of the important conditions of human health. Only an automatic monitoring of a sufficient fluid intake volume fulfills practicality requirements for people especially dependent on such intake, e.g. during specific medical treatment or older people experiencing a diminished sensation of natural thirst. Programmable smartwatch apps can realize such an automatic fluid intake volume monitoring from the morning till night time with sufficient precision impeding dehydration. We present an innovative five aspects approach for a comprehensive analysis of the application area. First, how much fluid volume shall be orally ingested by an individual person? Second, in which way can fluid intake acts reliably be detected from gestures? Third, how can the ingested total volume be automatically estimated? Fourth, in which way can the daily fluid volume already ingested so far be indicated to a smartwatch wearer at a glance and in an intuitive way? Fifth and at last, when and in which situations do advices to the smartwatch wearer to drink a beverage right now meet his/her open mind and eyes? For the necessary machine learning, data mining, and recognition respectively classification process of physiologic activities the applied statistics and artificial intelligence methods will be presented, analyzed and evaluated from a practical perspective.

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Notes

  1. 1.

    The experiments where conducted with n = 7 persons in the age group of interest: 50 to 72 years. The test persons agreed, after acquiring ground truth data in phase 1 of the experiment over the course of either a full day or full week, to use the smartwatch in phase 2 of the experiment also for a full day or a full week. Each ingested beverage during the test period had to be time-stamped and recorded, measured or weighed with kitchen scales in order to provide the necessary ground truth. Test persons included as well ambidextrous persons as persons with a predominant, preferred hand.

  2. 2.

    Ingested fluids included: cold table and mineral water, soft drinks like apple juice, different flavors of hot tea, various kinds of hot coffee and chocolate. Alcoholics were not permitted in the experiments.

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Authors and Affiliations

  1. Dr.-Ing. Rainer Lutze Consulting, Wachtlerhof, Langenzenn, Germany

    Rainer Lutze

  2. FOM University of Applied Sciences, Nuremberg, Germany

    Klemens Waldhör

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  1. Rainer Lutze
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  2. Klemens Waldhör
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Correspondence to Rainer Lutze .

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Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Hosei University, Tokyo, Japan

    Ayako Hashizume

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Lutze, R., Waldhör, K. (2023). Practicality Aspects of Automatic Fluid Intake Monitoring via Smartwatches. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14014. Springer, Cham. https://doi.org/10.1007/978-3-031-35572-1_5

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  • DOI: https://doi.org/10.1007/978-3-031-35572-1_5

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