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An Ear Canal Deformation based Head Gesture Recognition Using In-ear Wearables

Authors:
Youngone Lee
Sheng Tan

Keywords: wearable; human computer interaction; head gesture; Internet-of-Things (IoT).

Abstract:
Hands-free interfaces have become increasingly popular due to the growing demands for convenient control/interaction with mobile and wearable devices. Among all of the hands-free interfaces, head gestures interaction have shown great potential in providing alternatives under various real-world scenarios such as interfaces for people with disabilities, Virtual/Augmented Reality (VR/AR), and vehicle driving. However, existing head gesture recognition systems require either Line-Of-Sight (LOS) or the user to wear specialized hardware. Additionally, those approaches could raise potential privacy concerns. In this work, we propose a novel in-ear wearable system that can achieve head gesture recognition by utilizing off-the-shelf earbuds with built-in microphone. Specifically, we leverage the relationship between the deformation of the ear canal and the head motion to distinguish different head gestures. A preliminary study shows our system can achieve over 94% recognition accuracy for various head gestures.

Pages: 6 to 7

Copyright: Copyright (c) IARIA, 2023

Publication date: March 13, 2023

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-68558-060-5

Location: Barcelona, Spain

Dates: from March 13, 2023 to March 17, 2023