Classification of BCI Users Based on Cognition

Computational Intelligence and Neuroscience
N Firat Ozkan, Emin Kahya

Abstract

Brain-Computer Interfaces (BCI) are systems originally developed to assist paralyzed patients allowing for commands to the computer with brain activities. This study aims to examine cognitive state with an objective, easy-to-use, and easy-to-interpret method utilizing Brain-Computer Interface systems. Seventy healthy participants completed six tasks using a Brain-Computer Interface system and participants' pupil dilation, blink rate, and Galvanic Skin Response (GSR) data were collected simultaneously. Participants filled Nasa-TLX forms following each task and task performances of participants were also measured. Cognitive state clusters were created from the data collected using the K-means method. Taking these clusters and task performances into account, the general cognitive state of each participant was classified as low risk or high risk. Logistic Regression, Decision Tree, and Neural Networks were also used to classify the same data in order to measure the consistency of this classification with other techniques and the method provided a consistency between 87.1% and 100% with other techniques.

References

Jun 21, 2007·Journal of Neural Transmission·Th Mulder
Jun 24, 2009·Neuroscience Letters·Christoph GugerGuenter Edlinger
Dec 18, 2010·Frontiers in Neuroscience·Benjamin BlankertzKlaus-Robert Müller
Mar 26, 2011·Journal of Neural Engineering·Yu-Te WangTzyy-Ping Jung
Aug 3, 2012·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Honglai XuBo Hong
Nov 28, 2012·Frontiers in Neuroscience·Christoph GugerGünter Edlinger
Oct 1, 2013·Artificial Intelligence in Medicine·Martijn SchreuderMichael Tangermann
Jul 1, 2014·Journal of Neuroscience Methods·Lijuan BaiYuanqing Li
Jun 18, 2015·Frontiers in Human Neuroscience·Andrew Myrden, Tom Chau

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