Objectifying facial expressivity assessment of parkinson's patients

dc.contributor.author	Wu, Peng	en
dc.contributor.author	González, Isabel Valle	en
dc.contributor.author	Πάτσης, Γεώργιος Π.	el
dc.contributor.author	Jiang, Dongmei	en
dc.contributor.author	Sahli, Hichem	en
dc.date.accessioned	2015-06-07T19:32:12Z
dc.date.available	2015-06-07T19:32:12Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15538
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.source	http://www.hindawi.com/	en
dc.subject	human
dc.subject	disease duration
dc.subject	electromyogram
dc.subject	άνθρωπος
dc.subject	διάρκεια της νόσου
dc.subject	ηλεκτρομυογράφημα
dc.title	Objectifying facial expressivity assessment of parkinson's patients	en
heal.type	journalArticle
heal.classification	Science
heal.classification	Mathematics
heal.classification	Medicine
heal.classification	Επιστήμη
heal.classification	Μαθηματικά
heal.classification	Ιατρική
heal.classificationURI	http://zbw.eu/stw/descriptor/15685-2
heal.classificationURI	http://zbw.eu/stw/thsys/70269
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	N/A-Επιστήμη
heal.classificationURI	N/A-Μαθηματικά
heal.classificationURI	N/A-Ιατρική
heal.contributorName	Kerckhofs, Eric	en
heal.contributorName	Vandekerckhove, Marie M.P.	en
heal.identifier.secondary	DOI: 10.1155/2014/427826
heal.language	en
heal.access	campus
heal.publicationDate	2014
heal.bibliographicCitation	WU,P., GONZALES, I.V., PATSIS, G.P., JIANG, D., SAHLI, H., et al. (2014). Objectifying facial expressivity assessment of parkinson's patients. Computational and Mathematical Methods in Medicine. [online] 2014. Available from: http://www.hindawi.com/	en
heal.abstract	Patients with Parkinson's disease (PD) can exhibit a reduction of spontaneous facial expression, designated as "facial masking," a symptom in which facial muscles become rigid. To improve clinical assessment of facial expressivity of PD, this work attempts to quantify the dynamic facial expressivity (facial activity) of PD by automatically recognizing facial action units (AUs) and estimating their intensity. Spontaneous facial expressivity was assessed by comparing 7 PD patients with 8 control participants. To voluntarily produce spontaneous facial expressions that resemble those typically triggered by emotions, six emotions (amusement, sadness, anger, disgust, surprise, and fear) were elicited using movie clips. During the movie clips, physiological signals (facial electromyography (EMG) and electrocardiogram (ECG)) and frontal face video of the participants were recorded. The participants were asked to report on their emotional states throughout the experiment. We first examined the effectiveness of the emotion manipulation by evaluating the participant's self-reports. Disgust-induced emotions were significantly higher than the other emotions. Thus we focused on the analysis of the recorded data during watching disgust movie clips. The proposed facial expressivity assessment approach captured differences in facial expressivity between PD patients and controls. Also differences between PD patients with different progression of Parkinson's disease have been observed.	en
heal.publisher	Hindawi Publishing Corporation	en
heal.journalName	Computational and Mathematical Methods in Medicine	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true