EarMag
In-Ear Magnetosensing for Jaw and Head Gesture-Based Human-Computer Interaction
Max J.F. Van Oort (Student TU Delft)
Gabriel E. Sáenz (Jawsaver BV)
Selina Tirtajana (Jawsaver BV)
Przemysław Pawełczak (TU Delft - Electrical Engineering, Mathematics and Computer Science)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
This study explores the use of in-ear magnetosensing (EarMag) as a novel sensing technique for detecting jaw and head movements in the context of human-computer interaction. While prior work has explored the use of acoustic, inertial, and visual sensing, the potential of EarMag remains to be explored. As a proof of concept, 17 orofacial physiotherapy-related exercises were collected from 21 participants using EarMag-enabled earables. A soft voting ensemble of support vector machine and random forest achieved 76% accuracy for five exercises on an unseen test set of ten users. While individual anatomical differences pose challenges for generalization, this work highlights the potential of EarMag for applications such as assistive technologies, silent speech interfaces, and biosignal tracking.
help_outline