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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\u2019s 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\u2019s disease have been observed.<\/jats:p>","DOI":"10.1155\/2014\/427826","type":"journal-article","created":{"date-parts":[[2014,11,13]],"date-time":"2014-11-13T16:01:49Z","timestamp":1415894509000},"page":"1-12","source":"Crossref","is-referenced-by-count":37,"title":["Objectifying Facial Expressivity Assessment of Parkinson\u2019s Patients: Preliminary Study"],"prefix":"10.1155","volume":"2014","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7777-1485","authenticated-orcid":true,"given":"Peng","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Electronics and Informatics, Vrije Universiteit Brussel, 1050 Brussels, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9070-7517","authenticated-orcid":true,"given":"Isabel","family":"Gonzalez","sequence":"additional","affiliation":[{"name":"Department of Electronics and Informatics, 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