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Mobile Computing, Applications, and Services. 13th EAI International Conference, MobiCASE 2022, Messina, Italy, November 17-18, 2022, Proceedings

Research Article

YouBrush: Leveraging Edge-Based Machine Learning in Oral Care

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-31891-7_4,
        author={Esteban Echeverri and Griffin Going and Rahat Ibn Rafiq and Jonathan Engelsma and Venu Vasudevan},
        title={YouBrush: Leveraging Edge-Based Machine Learning in Oral Care},
        proceedings={Mobile Computing, Applications, and Services. 13th EAI International Conference, MobiCASE 2022, Messina, Italy, November 17-18, 2022, Proceedings},
        proceedings_a={MOBICASE},
        year={2023},
        month={4},
        keywords={Mobile Development Oral Care Sound},
        doi={10.1007/978-3-031-31891-7_4}
    }
    
  • Esteban Echeverri
    Griffin Going
    Rahat Ibn Rafiq
    Jonathan Engelsma
    Venu Vasudevan
    Year: 2023
    YouBrush: Leveraging Edge-Based Machine Learning in Oral Care
    MOBICASE
    Springer
    DOI: 10.1007/978-3-031-31891-7_4
Esteban Echeverri1,*, Griffin Going1, Rahat Ibn Rafiq1, Jonathan Engelsma1, Venu Vasudevan
  • 1: Grand Valley State University
*Contact email: echevere.mail@gvsu.edu

Abstract

A disconnect is frequent regarding the length of time a person claims to have brushed their teeth and the actual duration; the recommended brushing duration is 2 min. This paper seeks to bridge this particular disconnect. We introduce YouBrush,—a low-latency, low-friction, and responsive mobile application—to improve oral care regimens in users. YouBrush is an IOS mobile application that democratizes features previously available only to intelligent toothbrush users by incorporating a highly accurate deep learning brushing detection model—developed by Apple’s createML—on the device. The machine learning model, running on the edge, allows for a low-latency, highly responsive scripted-coaching brushing experience for the user. Moreover, we craft in-app gamification techniques to further user interaction, stickiness, and oral care adherence.

Keywords
Mobile Development Oral Care Sound
Published
2023-04-29
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-31891-7_4
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