Tongue-Rudder: A glossokinetic-potential-based tongue-machine interface
SCIE
SCOPUS
- Title
- Tongue-Rudder: A glossokinetic-potential-based tongue-machine interface
- Authors
- Nam, Y; Zhao, QB; Cichocki, A; Choi, S
- Date Issued
- 2012-01
- Publisher
- Institute of Electrical Electronics Engineers
- Abstract
- Glossokinetic potentials (GKPs) are electric potential responses generated by tongue movement. In this study, we use these GKPs to automatically detect and estimate tongue positions, and develop a tongue-machine interface. We show that a specific configuration of electrode placement yields discriminative GKPs that vary depending on the direction of the tongue. We develop a linear model to determine the direction of tongue from GKPs, where we seek linear features that are robust to a baseline drift problem by maximizing the ratio of intertask covariance to intersession covariance. We apply our method to the task of wheelchair control, developing a tongue-machine interface for wheelchair control, referred to as tongue-rudder. A teeth clenching detection system, using electromyography, was also implemented in the system in order to assign teeth clenching as the stop command. Experiments on off-line cursor control and online wheelchair control confirm the unique advantages of our method, such as: 1) noninvasiveness, 2) fine controllability, and 3) ability to integrate with other EEG-based interface systems.
- Keywords
- Electric wheelchair control; glossokinetic potentials (GKPs); tongue-machine interface; COMPUTER-INTERFACE
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/16945
- DOI
- 10.1109/TBME.2011.2174058
- ISSN
- 0018-9294
- Article Type
- Article
- Citation
- IEEE Transactions on Biomedical Engineering, vol. 59, no. 1, page. 290 - 299, 2012-01
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.