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
Citation
MAAG, Balz; ZHOU, Zimu; SAUKH, Olga; and THIELE, Lothar.
BARTON: Low power tongue movement sensing with in-ear barometers. (2017). Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, Shenzhen, China, 2017 December 15-17. 1-8.
Available at: https://ink.library.smu.edu.sg/sis_research/4829
Additional URL
https://doi.org/10.1109/ICPADS.2017.00013