BARTON: Low power tongue movement sensing with in-ear barometers

Publication Type

Conference Proceeding Article

Publication Date

12-2017

Abstract

Sensing tongue movements enables various applications in hands-free interaction and alternative communication. We propose BARTON, a BARometer based low-power and robust TONgue movement sensing system. Using a low sampling rate of below 50 Hz, and only extracting simple temporal features from in-ear pressure signals, we demonstrate that it is plausible to distinguish important tongue gestures (left, right, forward) at low power consumption. We prototype BARTON with commodity earpieces integrated with COTS barometers for in-ear pressure sensing and an ARM micro-controller for signal processing. Evaluations show that BARTON yields 94% classification accuracy and 8.4 mW power consumption, which achieves comparable accuracy, but consumes 44 times lower energy than the stateof-the-art microphone-based solutions. BARTON is also robust to head movements and operates with music played directly from earphones.

Keywords

Human computer interaction, Ubiquitous computing, Pressure sensors

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, Shenzhen, China, 2017 December 15-17

First Page

1

Last Page

8

ISBN

1521-9097

Identifier

10.1109/ICPADS.2017.00013

Publisher

IEEE

City or Country

Shenzhen, China

Additional URL

https://doi.org/10.1109/ICPADS.2017.00013

This document is currently not available here.

Share

COinS