Classification of event-related potentials associated with response errors in actors

Asvestas, PA; Ventouras, E; Karanasiou, I; Matsopoulos, GK

dc.contributor.author	Asvestas, PA	en
dc.contributor.author	Ventouras, E	en
dc.contributor.author	Karanasiou, I	en
dc.contributor.author	Matsopoulos, GK	en
dc.date.accessioned	2014-03-01T02:45:11Z
dc.date.available	2014-03-01T02:45:11Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32185
dc.subject	Agent Interaction	en
dc.subject	Automatic Detection	en
dc.subject	Classification Accuracy	en
dc.subject	Event Related Potential	en
dc.subject	event-related potential erp	en
dc.subject	Fuzzy C Means Algorithm	en
dc.subject	Fuzzy C Means Clustering	en
dc.subject	Joint Action	en
dc.subject.other	Action research	en
dc.subject.other	Artificial agents	en
dc.subject.other	Classification accuracy	en
dc.subject.other	Classification tasks	en
dc.subject.other	Electrical activities	en
dc.subject.other	Event related potentials	en
dc.subject.other	Fuzzy C-means algorithms	en
dc.subject.other	Fuzzy c-means clustering algorithms	en
dc.subject.other	Learning mechanism	en
dc.subject.other	Noninvasive measurements	en
dc.subject.other	Response error	en
dc.subject.other	Selection algorithm	en
dc.subject.other	Signal classification methods	en
dc.subject.other	Bioinformatics	en
dc.subject.other	Brain	en
dc.subject.other	Copying	en
dc.subject.other	Education	en
dc.subject.other	Enterprise resource planning	en
dc.subject.other	Error detection	en
dc.subject.other	Fuzzy clustering	en
dc.subject.other	Fuzzy systems	en
dc.subject.other	Sequential switching	en
dc.subject.other	Signal detection	en
dc.subject.other	Clustering algorithms	en
dc.title	Classification of event-related potentials associated with response errors in actors	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BIBE.2008.4696784	en
heal.identifier.secondary	4696784	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BIBE.2008.4696784	en
heal.publicationDate	2008	en
heal.abstract	Event-Related Potentials (ERPs) provide noninvasive measurements of the electrical activity on the scalp related to the processing of stimuli and preparation of responses by the brain. In this paper, an ERP-signal classification method capable of discriminating between ERPs of correct and incorrect responses of actors is proposed. A number of histogram-related features were calculated from each ERP-signal and the most significant ones were extracted using the Sequential Forward Floating Selection algorithm along with the Fuzzy C-Means clustering algorithm. The Fuzzy C-Means algorithm was also used for the classification task. The approach yielded classification accuracy 93.75% for the actors' correct and incorrect responses. The proposed ERP- signal classification method provides a promising tool to study error detection and observational-learning mechanisms in joint-action research and may foster the future development of systems capable of automatically detecting erroneous actions in human-human and human-artificial agent interactions.	en
heal.journalName	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008	en
dc.identifier.doi	10.1109/BIBE.2008.4696784	en