EEG Signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm
Abstract
The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a joystick can serve as a platform for a brain computer interface (BCI). The four pressure directions are used to evoke tactile brain potential responses, thus defining a tactile-force brain computer interface (tfBCI). We present brain signal processing and classification procedures leading to successful interfacing results. Experimental results with seven subjects performing online BCI experiments provide a validation of the hand location tfBCI paradigm, while the feasibility of the concept is illuminated through remarkable information-transfer rates.
Cite
@article{arxiv.1310.1593,
title = {EEG Signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm},
author = {Shota Kono and Daiki Aminaka and Shoji Makino and Tomasz M. Rutkowski},
journal= {arXiv preprint arXiv:1310.1593},
year = {2013}
}
Comments
6 pages (in conference proceedings original version); 6 figures, submitted to The 9th International Conference on Signal Image Technology & Internet Based Systems, December 2-5, 2013, Kyoto, Japan; to be available at IEEE Xplore; IEEE Copyright 2013