Towards In-Ear Inertial Jaw Clenching Detection

Siddharth Rupavatharam, Marco Gruteser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Bruxism is a jaw-muscle condition characterized by repetitive clenching or grinding of teeth. Existing methods of detecting jaw clenching towards diagnosing bruxism are either invasive or not very reliable. As a first step towards building a reliable, non-invasive and light weight bruxism detector, we propose an eSense based in-ear inertial jaw clenching detection technique that detects peaks/dips in gyroscope vector magnitude. We also present results from preliminary experiments that show an equal error rate of 1% when the person is stationary and 4% when moving.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st International Workshop on Earable Computing, EarComp 2019
PublisherAssociation for Computing Machinery, Inc
Pages54-55
Number of pages2
ISBN (Electronic)9781450369022
DOIs
StatePublished - Sep 9 2019
Event1st International Workshop on Earable Computing, EarComp 2019 - London, United Kingdom
Duration: Sep 9 2019 → …

Publication series

NameProceedings of the 1st International Workshop on Earable Computing, EarComp 2019

Conference

Conference1st International Workshop on Earable Computing, EarComp 2019
Country/TerritoryUnited Kingdom
CityLondon
Period9/9/19 → …

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Hardware and Architecture
  • Computer Science Applications

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