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Case Study of a Low-Cost IoT Device with a Thermal Vision to Monitor Human Stool Behavior in the Home

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Image Analysis and Processing. ICIAP 2022 Workshops (ICIAP 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13373))

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Abstract

Among the instruments for early detection are those for analysing gases in people’s faeces, as it has been found that the presence of the intensity of certain compounds is related to the presence of cancer, diabetes or Alzheimer. The availability of sensor devices in recent years, together with the Internet of Things (IoT) paradigm, has made it possible to create low-cost systems that allow initial solutions to be tested for various real applications. Therefore, the aim of this contribution is to present the use case of a stool gas monitoring system in order to be the beginning of a solution for the early detection of this type of diseases. The proposed prototype integrates a thermal camera and MOX sensors to collect temperature and gas measurements immediately after a person has made deposition in their home. The measurements are monitored through an IoT platform and stored on a cloud server.

University of Jaen.

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Acknowledgements

This result has been partially supported through the research projects REMIND project Marie Sklodowska-Curie EU Framework for Research and Innovation Horizon 516 2020, under grant agreement no. 734355, the Spanish Government by the project \(RTI2018-098979-A-I00 MCIN/\) \(AEI/10.13039/501100011033/\), FEDER “Una manera de hacer Europa” and the University of Jaén under Action 1 with code EI_TIC1_2021.

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Authors and Affiliations

  1. Department of Computer Science, University of Jaén, 23071, Jaén, Spain

    Alicia Montoro-Lendínez, David Díaz-Jiménez, José Luis López- Ruiz, Javier Medina-Quero & Macarena Espinilla-Estévez

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  1. Alicia Montoro-Lendínez
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  2. David Díaz-Jiménez
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  3. José Luis López- Ruiz
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  4. Javier Medina-Quero
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  5. Macarena Espinilla-Estévez
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Correspondence to Alicia Montoro-Lendínez .

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Editors and Affiliations

  1. National Research Council, Lecce, Italy

    Pier Luigi Mazzeo

  2. Università Politecnica delle Marche, Ancona, Italy

    Emanuele Frontoni

  3. Boston University, Boston, MA, USA

    Stan Sclaroff

  4. National Research Council, Lecce, Italy

    Cosimo Distante

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Montoro-Lendínez, A., Díaz-Jiménez, D., López- Ruiz, J.L., Medina-Quero, J., Espinilla-Estévez, M. (2022). Case Study of a Low-Cost IoT Device with a Thermal Vision to Monitor Human Stool Behavior in the Home. In: Mazzeo, P.L., Frontoni, E., Sclaroff, S., Distante, C. (eds) Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022. Lecture Notes in Computer Science, vol 13373. Springer, Cham. https://doi.org/10.1007/978-3-031-13321-3_1

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  • DOI: https://doi.org/10.1007/978-3-031-13321-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13320-6

  • Online ISBN: 978-3-031-13321-3

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