Authors:
P. Asvestas
1
;
A. Korda
2
;
S. Kostopoulos
1
;
I. Karanasiou
3
;
G. K. Matsopoulos
2
and
E. M. Ventouras
1
Affiliations:
1
Technological Educational Institute of Athens, Greece
;
2
National Technical University of Athens, Greece
;
3
Institute of Communications and Computer Systems, Greece
Keyword(s):
Event Related Potentials, Error Related Negativity, Support Vector Machines, Classification.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
Abstract:
The identification of correct or incorrect actions is a very significant task in the field of the brain-computer
interface systems. In this paper, observations of correct or incorrect actions are identified by means of event
related potentials (ERPs) that represent the brain activity as a response to an external stimulus or event. ERP
signals from 47 electrodes, located on various positions on the scalp, were acquired from sixteen volunteers.
The volunteers observed correct or incorrect actions of other subjects, who performed a special designed
task. The recorded signals were analysed and five second order statistical features were calculated from
each one. The most prominent features were selected using a statistical ranking procedure forming a set of
32 feature vectors, which were fed to a Support Vector Machines (SVM) classifier. The performance of the
classifier was assessed by means of the leave-one-out cross validation procedure resulting in classification
accuracy 84.4%. The
obtained results indicate that the analysis of ERP-signals that are collected during the
observation of the actions of other persons could be used to understand the specific cognitive processes that
are responsible for processing the observed actions.
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