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Migaco: Supporting Young Children’s Tooth Brushing with Machine Learning

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Collaboration Technologies and Social Computing (CollabTech 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11000))

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Abstract

We have developed “migaco”, a system supporting young children’s tooth brushing. It is composed of a general toothbrush equipped with a magnet and a smartphone equipped with a geomagnetic sensor (an electronic compass). The output data from the geomagnetic sensor changes corresponding to the movement of the magnet, so that it is possible to know whether the toothbrush has moved or not. We have also introduced machine learning technology to migaco in order to identify the brushing point, and realized users’ requests like “I want to know if my child is brushing the entire teeth properly” or “I want to know which teeth my child did not brush.”

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Acknowledgement

This work was supported by JSPS KAKENHI Number 16K00506.

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Authors and Affiliations

  1. Information Design Course, School of Social Information Studies, Otsuma Women’s University, Sanbancho 12, Chiyoda-ku, Tokyo, 102-8357, Japan

    Satoshi Ichimura

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  1. Satoshi Ichimura
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Correspondence to Satoshi Ichimura .

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Editors and Affiliations

  1. Department of Informatics, The University of Electro-Communications, Chofu, Tokyo, Japan

    Hironori Egi

  2. Graduate School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Takaya Yuizono

  3. University of Chile, Santiago, Chile

    Nelson Baloian

  4. Wakayama University, Wakayama City, Japan

    Takashi Yoshino

  5. Otsuma Women’s University, Tokyo, Japan

    Satoshi Ichimura

  6. Departamento de Informatica, Universidade Nova de Lisboa, Caparica, Portugal

    Armanda Rodrigues

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Ichimura, S. (2018). Migaco: Supporting Young Children’s Tooth Brushing with Machine Learning. In: Egi, H., Yuizono, T., Baloian, N., Yoshino, T., Ichimura, S., Rodrigues, A. (eds) Collaboration Technologies and Social Computing. CollabTech 2018. Lecture Notes in Computer Science(), vol 11000. Springer, Cham. https://doi.org/10.1007/978-3-319-98743-9_14

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  • DOI: https://doi.org/10.1007/978-3-319-98743-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98742-2

  • Online ISBN: 978-3-319-98743-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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