A novel paradigm for multiple target selection using a two class brain computer interface

Gandhi, Vaibhav ORCID logoORCID: https://orcid.org/0000-0003-1121-7419, Prasad, G., Coyle, D., Behera, L. and McGinnity, M. (2009) A novel paradigm for multiple target selection using a two class brain computer interface. In: IET Irish Signals and Systems Conference (ISSC 2009). IET, Dublin. ISBN 9781849192132. [Book Section] (doi:10.1049/cp.2009.1690)


A brain computer interface (BCI) allows a person to communicate with external devices using electroencephalogram (EEG) or other brain signals. A typical BCI scheme consists of data acquisition, feature extraction and classification. Using the classifier output, a control command is issued to the intended devices and the subject is provided appropriate feedback. As a part of feedback, a graphical user interface (GUI) plays a very important role as a front-end display for the BCI user and enhancing overall communication bandwidth. This paper focuses on the interface design aspect of a BCI so as to provide effective control of a wheelchair or robot arm application. A motor imagery prediction based paradigm is used to create a semi synchronous interface with a focus on presentation of a new task for selection as well as to optimally utilize the subject intentions. From a theoretical assessment, it is expected that the overall time required to select from six choices using the proposed GUI will be much less compared to existing designs. Also, being a two class paradigm, it is expected that the probability of error occurrence is minimized along with a quicker traverse between choices and this may allow a limited bandwidth BCI to operate an external device with multiple degrees of freedom and choose from multiple different choices efficiently and effectively.

Item Type: Book Section
Additional Information: Paper presented in 20th IET Irish Signals and Systems Conference, 2009.
Keywords (uncontrolled): Brain-Computer Interfaces; electroencephalography; graphical user interfaces; manipulators; control engineering computing; medical robotics
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 11571
Useful Links:
Depositing User: Vaibhav Gandhi
Date Deposited: 20 Aug 2013 09:04
Last Modified: 09 Feb 2022 10:16
URI: https://eprints.mdx.ac.uk/id/eprint/11571

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