Research Article
YouBrush: Leveraging Edge-Based Machine Learning in Oral Care
@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
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.
