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Hans Gellersen

Motion Coupling of Earable Devices in Camera View

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review


  • Christopher Clarke, Lancaster University
  • ,
  • Peter Ehrich, Ludwig Maximilian University of Munich
  • ,
  • Hans Gellersen

Earables, earphones augmented with inertial sensors and real-time data accessibility, provide the opportunity for private audio channels in public settings. One of the main challenges of achieving this goal is to correctly associate which device belongs to which user without prior information. In this paper, we explore how motion of an earable, as measured by the on-board accelerometer, can be correlated against detected faces from a webcam to accurately match which user is wearing the device. We conduct a data collection and explore which type of user movement can be accurately detected using this approach, and investigate how varying the speed of the movement affects detection rates. Our results show that the approach achieves greater detection results for faster movements, and that it can differentiate the same movement across different participants with a detection rate of 86%, increasing to 92% when differentiating a movement against others.

Original languageEnglish
Title of host publicationMUM 2020 - 19th International Conference on Mobile and Ubiquitous Multimedia, Proceedings
EditorsJessica Cauchard, Markus Lochtefeld
Number of pages5
Place of publicationNew York
PublisherAssociation for Computing Machinery
Publication yearNov 2020
ISBN (Electronic)9781450388702
Publication statusPublished - Nov 2020
Event19th International Conference on Mobile and Ubiquitous Multimedia, MUM 2020 - Virtual, Online, Germany
Duration: 22 Nov 202025 Nov 2020


Conference19th International Conference on Mobile and Ubiquitous Multimedia, MUM 2020
ByVirtual, Online
SeriesACM International Conference Proceeding Series

    Research areas

  • earable, motion coupling., Spontaneous device association

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