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Sensor-embedded teeth for oral activity recognition

Published: 08 September 2013 Publication History

Abstract

This paper presents the design and implementation of a wearable oral sensory system that recognizes human oral activities, such as chewing, drinking, speaking, and coughing. We conducted an evaluation of this oral sensory system in a laboratory experiment involving 8 participants. The results show 93.8% oral activity recognition accuracy when using a person-dependent classifier and 59.8% accuracy when using a person-independent classifier.

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Cited By

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  • (2024)Materials-Driven Soft Wearable Bioelectronics for Connected HealthcareChemical Reviews10.1021/acs.chemrev.3c00502124:2(455-553)Online publication date: 4-Jan-2024
  • (2023)Wearable Orofacial Technology and OrthodonticsDentistry Journal10.3390/dj1101002411:1(24)Online publication date: 10-Jan-2023
  • (2023)DUMask: A Discrete and Unobtrusive Mask-Based Interface for Facial GesturesProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582726(255-266)Online publication date: 12-Mar-2023
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    cover image ACM Conferences
    ISWC '13: Proceedings of the 2013 International Symposium on Wearable Computers
    September 2013
    160 pages
    ISBN:9781450321273
    DOI:10.1145/2493988
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 08 September 2013

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    Author Tags

    1. activity recognition
    2. oral activity recognition
    3. sensing

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    ISWC '13 Paper Acceptance Rate 20 of 101 submissions, 20%;
    Overall Acceptance Rate 38 of 196 submissions, 19%

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    Cited By

    View all
    • (2024)Materials-Driven Soft Wearable Bioelectronics for Connected HealthcareChemical Reviews10.1021/acs.chemrev.3c00502124:2(455-553)Online publication date: 4-Jan-2024
    • (2023)Wearable Orofacial Technology and OrthodonticsDentistry Journal10.3390/dj1101002411:1(24)Online publication date: 10-Jan-2023
    • (2023)DUMask: A Discrete and Unobtrusive Mask-Based Interface for Facial GesturesProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582726(255-266)Online publication date: 12-Mar-2023
    • (2022)AIM in Eating DisordersArtificial Intelligence in Medicine10.1007/978-3-030-64573-1_213(1643-1661)Online publication date: 18-Feb-2022
    • (2021)TeethTap: Recognizing Discrete Teeth Gestures Using Motion and Acoustic Sensing on an EarpieceProceedings of the 26th International Conference on Intelligent User Interfaces10.1145/3397481.3450645(161-169)Online publication date: 14-Apr-2021
    • (2021)AIM in Eating DisordersArtificial Intelligence in Medicine10.1007/978-3-030-58080-3_213-1(1-19)Online publication date: 4-Nov-2021
    • (2020)Development of a Dental Implantable Temperature Sensor for Real-Time Diagnosis of Infectious DiseaseSensors10.3390/s2014395320:14(3953)Online publication date: 16-Jul-2020
    • (2020)Intraoral temperature and inertial sensing in automated dietary assessmentProceedings of the 2020 ACM International Symposium on Wearable Computers10.1145/3410531.3414309(27-31)Online publication date: 4-Sep-2020
    • (2020)BraceIOProceedings of the 2020 ACM International Symposium on Wearable Computers10.1145/3410531.3414290(87-89)Online publication date: 4-Sep-2020
    • (2020)NEWERTRACK: ML-Based Accurate Tracking of In-Mouth Nutrient Sensors Position Using Spectrum-Wide InformationIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2020.3013074(1-1)Online publication date: 2020
    • Show More Cited By

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