Publication Type
Conference Proceeding Article
Version
publishedVersion
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
UbiComp ’24: Companion of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, 5th International Workshop on Earable Computing (EarComp 2024): Melbourne, October 5-9
First Page
655
Last Page
660
ISBN
9798400710582
Identifier
10.1145/3675094.3680521
Publisher
ACM
City or Country
New York
Citation
YANG, Qiang; LIU, Yang; STUCHBURY-WASS, Jake; BUTKOW, Kayla-Jade; MA, Dong; and MASCOLO, Cecilia.
BrushBuds: Toothbrushing tracking using earphone IMUs. (2024). UbiComp ’24: Companion of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, 5th International Workshop on Earable Computing (EarComp 2024): Melbourne, October 5-9. 655-660.
Available at: https://ink.library.smu.edu.sg/sis_research/9722
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Additional URL
https://doi.org/10.1145/3675094.3680521
