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A Novel Paradigm for Multiple Target Selection Using a two class Brain Computer Interface

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Gandhi, V., Prasad, G, Coyle, D, Behera, Laxmidhar and McGinnity, TM (2009) A Novel Paradigm for Multiple Target Selection Using a two class Brain Computer Interface. In: 2009 Irish Signals and Systems Conference, Dublin. IET. 6 pp. [Conference contribution]

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Abstract

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 2 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 degree of freedom and choose from multiple different choices efficiently and effectively.

Item Type:Conference contribution (Poster)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:12219
Deposited By:Professor Girijesh Prasad
Deposited On:09 Mar 2010 12:29
Last Modified:09 Mar 2010 12:29

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