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

dc.contributor.author	Ασβεστάς, Παντελής Α.	el
dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Καρανάσιου, Ειρήνη Σ.	el
dc.contributor.author	Ματσόπουλος, Γεώργιος Κ.	el
dc.date.accessioned	2015-01-26T09:51:22Z
dc.date.issued	2015-01-26
dc.identifier.uri	http://hdl.handle.net/11400/4742
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Energy psychology
dc.subject	Brain--Wounds and injuries--Exercise therapy
dc.subject	Ηλεκτρική δραστηριότητα
dc.subject	Εγκέφαλος
dc.title	Classification of event-related potentials associated with response errors in actors	en
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 8th IEEE International Conference on BioInformatics and BioEngineering	en
heal.classification	Medicine
heal.classification	Psychophysiology
heal.classification	Ιατρική
heal.classification	Ανθρώπινη φυσιολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh2002011488
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ανθρώπινη φυσιολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2003006471
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2004009741
heal.identifier.secondary	ISBN 978-1-4244-2845-8
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2008
heal.bibliographicCitation	Asvestas, P., Ventouras, E., Karanasiou, I. and Matsopoulos, G., (2008). Classification of event-related potentials associated with response errors in actors. In the 8th IEEE International Conference on BioInformatics and BioEngineering. Athens, 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 ERPsignal 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.publisher	IEEE	en
heal.fullTextAvailability	true
heal.conferenceName	International Conference on BioInformatics and BioEngineering	en
heal.conferenceItemType	full paper