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MET: A magneto-inductive sensing based electric toothbrushing monitoring system

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 26th Annual International Conference on Mobile Computing and Networking, MobiCom 2020
PublisherAssociation for Computing Machinery
Pages241-254
Number of pages14
ISBN (Electronic)9781450370851
DOIs
StatePublished - Apr 16 2020
Event26th Annual International Conference on Mobile Computing and Networking, MobiCom 2020 - London, United Kingdom
Duration: Sep 21 2020Sep 25 2020

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

Conference

Conference26th Annual International Conference on Mobile Computing and Networking, MobiCom 2020
Country/TerritoryUnited Kingdom
CityLondon
Period09/21/2009/25/20

Keywords

  • magnetic field sensing
  • toothbrushing monitoring

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