BrushBuds : Toothbrushing tracking using earphone IMUs

Publication Type

Conference Proceeding Article

Publication Date

10-2024

Abstract

Inadequate toothbrushing habits are a leading cause of oral health problems such as tooth decay. Many individuals are uncertain if they are brushing effectively or over-focusing on specific areas. While high-end electric toothbrushes can address these concerns, manual toothbrushes remain widely used due to their simplicity and affordability. In this paper, we introduce BrushBuds, an earphone-based toothbrushing monitoring system aimed at tracking brushing areas, which leverages the ubiquitous presence of earphones to enhance manual toothbrushing. BrushBuds utilizes Inertial Measurement Units (IMUs) in earphones to detect subtle head movements incurred by toothbrushing. By capturing distinct motion patterns specific to brushing for each tooth region, BrushBuds can effectively track the toothbrushing process. Our evaluation demonstrates the feasibility of BrushBuds, showing an average accuracy of 84.3% in identifying six distinct tooth areas. By enhancing manual toothbrushing with IMU sensors in earphones, BrushBuds has the potential to significantly improve oral hygiene practices for a broad range of manual toothbrush users.

Keywords

Toothbrushing monitoring, IMUs, Earable devices

Discipline

Artificial Intelligence and Robotics | Hardware Systems

Research Areas

Intelligent Systems and Optimization

Publication

Proceedings of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2024), 5th International Workshop on Earable Computing (EarComp 2024) : Melbourne VIC, Australia, October 5-9

First Page

655

Last Page

660

Identifier

10.1145/3675094.3680521

Publisher

ACM Digital Library

City or Country

Melbourne, VIC, Australia

Additional URL

https://doi.org/10.1145/3675094.3680521

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