TY - GEN
T1 - MET
T2 - 26th Annual International Conference on Mobile Computing and Networking, MobiCom 2020
AU - Huang, Hua
AU - Lin, Shan
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/4/16
Y1 - 2020/4/16
N2 - 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.
AB - 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.
KW - magnetic field sensing
KW - toothbrushing monitoring
UR - https://www.scopus.com/pages/publications/85086144083
U2 - 10.1145/3372224.3380896
DO - 10.1145/3372224.3380896
M3 - Conference contribution
AN - SCOPUS:85086144083
T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
SP - 241
EP - 254
BT - Proceedings of the 26th Annual International Conference on Mobile Computing and Networking, MobiCom 2020
PB - Association for Computing Machinery
Y2 - 21 September 2020 through 25 September 2020
ER -