MET: a magneto-inductive sensing based electric toothbrushing monitoring system
Hua Huang, Shan Lin
摘要
Electric toothbrushes are widely used for home oral care, but many users do not achieve desired hygiene results due to insufficient brushing coverage or incorrect brushing techniques. Existing electric toothbrushing monitoring systems fail to detect these issues because they cannot achieve fine-grained position tracking. In this paper, we present a novel electric toothbrushing monitoring system called MET that tracks brushing coverage for all the 15 surfaces of teeth and detects different types of incorrect brushing techniques. This design is inspired by our observation that the motor inside an electric toothbrush generates a unique magnetic field, which can serve as a reliable signal for position and orientation tracking. MET is the first system that tracks both the position and orientation of an unmodified electric motor using magnetic inductive sensing. Experiments with fourteen users show that the average toothbrushing surface recognition accuracy of MET is 85.3%. Moreover, MET is robust to user location changes and posture variations and does not require any training from the users. Experimental results also demonstrate our significant advantages over existing commercial systems.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper5
- RISE: robust wireless sensing using probabilistic and statistical assessmentsShuangjiao Zhai, Zhanyong Tang, Petteri Nurmi, Dingyi Fang 等MobiCom 2021 · 被引用 20 次
- MagCode: NFC-Enabled Barcodes for NFC-Disabled SmartphonesDonghui Dai, Zhenlin An, Qingrui Pan, Lei YangMobiCom 2023 · 被引用 14 次
- LiT: Fine-grained Toothbrushing Monitoring with Commercial LED ToothbrushKaixin Chen, Lei Wang, Yongzhi Huang, Kaishun Wu 等MobiCom 2023 · 被引用 13 次
- ToMoBrush: Exploring Dental Health Sensing Using a Sonic ToothbrushKuang Yuan, Mohamed Ibrahim, Yiwen Song, Guoxiang Deng 等UbiComp 2024 · 被引用 12 次
- Densor: An Intraoral Battery-Free Sensing PlatformVivian Dsouza, Jeffrey Pronk, Christian Peppelman, Víctor Ignacio Madariaga 等UbiComp 2025 · 被引用 4 次
相关 Paper
- mTeeth: Identifying Brushing Teeth Surfaces Using Wrist-Worn Inertial SensorsSayma Akther, Nazir Saleheen, Mithun Saha, Vivek Shetty 等UbiComp 2021 · 被引用 38 次
- SmarTeeth: Augmenting Manual Toothbrushing with In-ear MicrophonesQiang Yang, Yang Liu, Jake Stuchbury-Wass, Kayla-Jade Butkow 等CHI 2025 · 被引用 12 次
- ToothFairy: Real-time Tooth-by-tooth Brushing Monitor Using Earphone Reversed SignalsYang Wang, Feng Hong, Yufei Jiang, Chenyu Bao 等UbiComp 2024 · 被引用 10 次
- HearForce: Force Estimation for Manual Toothbrushing with EarablesQiang Yang, Yang Liu, Jake Stuchbury-Wass, Mathias Ciliberto 等UbiComp 2026 · 被引用 3 次
- Acoustic Sensing and Communication Using MetasurfaceYongzhao Zhang, Yezhou Wang, Lanqing Yang, Mei Wang 等NSDI 2023 · 被引用 25 次
