Motion Coupling of Earable Devices in Camera View

Clarke, Christopher and Ehrich, Peter and Gellersen, Hans (2020) Motion Coupling of Earable Devices in Camera View. In: MUM 2020: 19th International Conference on Mobile and Ubiquitous Multimedia :. ACM, New York, 13–17. ISBN 9781450388702

[thumbnail of Motion_Coupling_of_Earable_Devices_in_Camera_View___MUM2020_Note]
Text (Motion_Coupling_of_Earable_Devices_in_Camera_View___MUM2020_Note)
Motion_Coupling_of_Earable_Devices_in_Camera_View_MUM2020_Note.pdf - Accepted Version

Download (3MB)


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.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
© ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in MUM 2020: 19th International Conference on Mobile and Ubiquitous Multimedia 2020
ID Code:
Deposited By:
Deposited On:
30 Oct 2020 16:10
Last Modified:
10 Jan 2024 00:46