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Brief review of non-invasive motion trajectory prediction based brain-compurer interfaces

Korik, Attila, Siddique, NH and Coyle, Damien (2014) Brief review of non-invasive motion trajectory prediction based brain-compurer interfaces. In: The 8th IEEE EMBS UK & RI Postgraduate Conference in Biomedical Engineering & Medical Physics, Warwick. University of Warwick. 2 pp. [Conference contribution]

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URL: http://ewh.ieee.org/sb/ukri/embs/pgbiomed14/index.html

Abstract

This paper presents a brief overview of non-invasive motion trajectory prediction (MTP) for brain-computer interface (BCI). This method is an ideal solution for controlling an artificial limb or robot arm because the applied signal processing algorithm reconstruct the track of the imagined movement. Regularly used neurosensory technique for an online outside of the lab application is electroencephalography (EEG). To date only a limited number of motion trajectory prediction studies have been reported using non-invasive techniques. This review provides a brief summary of the state of the art in this area.

Item Type:Conference contribution (Speech)
Keywords:brain-computer interface, BCI, EEG
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 > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:30471
Deposited By: Prof Damien Coyle
Deposited On:27 Oct 2014 14:50
Last Modified:27 Oct 2014 14:50

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