By Topic

A hybrid Brain-Computer Interface for improving the usability of a smart home control

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Edlinger, G. ; g.tec Med. Eng. GmbH, Guger Technol. OG, Graz, Austria ; Guger, C.

A Brain-computer interface (BCI) provides a new communication channel for a human without using any muscle activities. Within this study we propose hybrid BCI based on the P300 evoked potential and steady-state visually evoked potential (SSVEP) approach to control a smart home environment in an asynchronous way. Firstly a P300 based BCI system was developed and tested in a virtual smart home environment implementation to work with a high accuracy and a high degree of freedom. Secondly, in order to initiate and stop the operation of the P300 BCI, a SSVEP based toggle switch was implemented. Results indicate that a P300 based system is very well suitable for applications with several controllable devices and where a discrete control command is desired. A SSVEP based system is more suitable if a continuous control signal is needed and the number of commands is rather limited. The combination of a SSVEP based BCI as a toggle switch allows to arbitrarily initiate and stop the P300 selection and yielded in all subjects very high reliability and accuracy.

Published in:

Complex Medical Engineering (CME), 2012 ICME International Conference on

Date of Conference:

1-4 July 2012