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Amsterdam Dynamic Facial expression Set

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Non-commercial use of the set is permitted. The stimuli in the ADFES have been validated in two studies and received excellent recognition rates. More information about the creation and validation of the set can be found in Moving faces, looking places: The Amsterdam Dynamic Facial Expressions Set (ADFES). About the Author The videos were adapted from the Amsterdam Dynamic Facial Expression Set (ADFES) and termed the Bath Intensity Variations (ADFES-BIV). A healthy sample of 92 people recruited from the University of Bath community (41 male, 51 female) completed a facial emotion recognition task including expressions of 6 basic emotions (anger, happiness, disgust. Correction: Validation of the Amsterdam Dynamic Facial Expression Set - Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions PLoS One. 2016 Dec 15;11(12):e0168891. doi: 10.1371/journal.pone.0168891.. Wingenbach TSH, Ashwin C, Brosnan M (2016) Validation of the Amsterdam Dynamic Facial Expression Set - Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions. PLoS ONE 11(1): e0147112. pmid:26784347 . View Article PubMed/NCB The Amsterdam Dynamic Facial Expression Set (ADFES) Amsterdam Interdisciplinary Centre for Emotion (AICE) Research tools; ADFES Stimulus Set; Stimulus Set contents; The files contain the full video stimulus set in MPEG-2 formats, plus some additional High Dynamic (HD) recordings and still pictures created from the stimuli. If you would like to.

Validation of the Amsterdam Dynamic Facial Expression Set - Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions Wingenbach, Tanja S. H. Ashwin, Chri

Method: In 42 aMDD, 43 rMDD, and 39 healthy controls (HC) FER was assessed using stimuli from the Amsterdam Dynamic Facial Expression Set, reasoning by the Movie for the Assessment of Social Cognition. Furthermore, the activity of Zygomaticus Major and Corrugator supercilii were recorded Amsterdam Dynamic Facial Expression Set (ADFES, Van Der Schalk et al., 2011) includes a face-forward version and two different head-turning versions (faces turning toward and away from viewers), North-European and Mediterranean models (male and female, 22 in total), and nine discrete emotions (joy, anger, fear, sadness, surprise, disgust. We report two studies validating a new standardized set of filmed emotion expressions, the Amsterdam Dynamic Facial Expression Set (ADFES). The ADFES is distinct from existing datasets in that it includes a face-forward version and two different head-turning versions (faces turning toward and away from viewers), North-European as well as Mediterranean models (male and female), and nine.

videos were adapted from the Amsterdam Dynamic Facial Expression Set Bath Intensity Variations (ADFES-BIV) dataset, completing a facial emotion recognition task, which included six basic emotions in addition to contempt, embarrassment and pride, which were expressed at three different intensities of expression and neutral Correction: Validation of the Amsterdam Dynamic Facial Expression Set - Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions Wingenbach, Tanja S. H The Amsterdam Dynamic Facial Expression Set (ADFES) This database consists of dynamic (video) and static (still picture) facial expressions of 22 white face models. Face models have been trained by FACS experts and pictures have been validated by 119 non-expert human judges (van der Schalk, Hawk, Fischer, & Doosje, 2011). Footnote 4 In our.

Validation of the Amsterdam Dynamic Facial Expression Set

  1. Van der Schalk, J., Hawk, S. T., Fischer, A. H., & Doosje, B. J. (in press).Moving faces, looking places: The Amsterdam Dynamic Facial Expressions Set (ADFES), Emotion. The user will confirm agreement by ticking the box below, by providing a valid e-mail address and by declaring affiliation with an accredited research institution
  2. In study 1, one female set of six still photographs—five facial expressions held to be prototypical of emotion and a neutral face—was selected randomly from the Amsterdam Dynamic Facial Expression Set . The facial expressions, coded as the number of cooccurring facial muscle contractions and referred as action units (AU), were F09-joy.
  3. Validation of the Amsterdam Dynamic Facial Expression Set - Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions By Tanja S. H. Wingenbach, Chris Ashwin and Mark Brosna
  4. To specify this investigation part of my research, I used selected study materials, including photos and videos of the Amsterdam Dynamic Facial Expression Set (ADFES) 5 and material taken from the Facial Action Coding System (FACS), the holy grail for learning about the face. Results. All in all I manually coded 176 photos as well as 143 videos
  5. use are the Amsterdam Dynamic Facial Expression Set (Van der Schalk,Hawk, Fischer, & Doosje, 2011), the CAM Face- Voice Battery (Golan, Baron-Cohen, & Hill, 2006), and the Geneva Multimodal Emotion Portrayals Core Set (GEMEP-CS; Bänziger et al., 2012). The EU-Emotion Stimulus Set expands on the previou

Correction: Validation of the Amsterdam Dynamic Facial

Emotional stimuli were employed from the Amsterdam Dynamic Facial Expression Set (ADFES), in which facial expressions are based upon prototypes of the basic emotions as described in the Facial Action Coding System (FACS). Participants were presented with eight blocks of five videos each Emotional facial expressions can inform researchers about an individual's emotional state. Recent technological advances open up new avenues to automatic Facial Expression Recognition (FER). Based on machine learning, such technology can tremendously increase the amount of processed data. FER is now easily accessible and has been validated for the classification of standardized prototypical. When the model which is tuned by W-CR-AFM is tested on extended Cohn-Kanade (CK+), Radboud Faces database, and Amsterdam dynamic facial expression set, our approach can improve the recognition accuracy by about 3.01%, 0.49%, and 5.33%, respectively. Compared to the competing deep learning architectures with the same training data, our approach.

This test involved the identification of facial emotions expressed by male and female actors, mostly white. Items were taken from the Amsterdam Dynamic Facial Expression Set (van der Schalk et al., 2011). The test had two modalities: static (photographs) and dynamic (short videos lasting 6-6.5 s) Stimuli were dynamic videos of two Caucasian women performing happy and angry emotional facial expressions with a directed gaze. Stimuli were selected from the Amsterdam Dynamic Facial Expression Set (ADFES; Van Der Schalk, Hawk, Fischer, & Doosje, 2011 ), and infants were randomly assigned to one of the two female models (F01, F03 of the ADFES) This corrects Validation of the Amsterdam Dynamic Facial Expression Set--Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions. PLoS One. 2016 Jan 19;11(1):e0147112 thefacial emotionalexpression,whereas dynamic stimuli provideadditionalcues, suchas tem-poral characteristic ofthe activation ofthefacial features, whichareused indecodingoffacial expressions [9,12,34].In linewiththat,it hasbeensuggestedthatinaddition tostatic charac- (e.g.theAmsterdamDynamic Facial Expression Set,ADFES[33];Geneva. from a standardized set in which models posed dynamic expressions: the Amsterdam Dynamic Facial Expression Set (ADFES; van der Schalk et al.2011). The expressions were posed in accordance with the Facial Action Coding System specifications (Ekman & Friesen, 1978). From this set, we selected two models, one male and one female

In each trial, subjects passively viewed dynamic facial expressions (i.e., short video clips) taken from the Amsterdam Facial Expression Set (ADFES) 32, which displayed either anger, contempt, joy. Validation of the Amsterdam Dynamic Facial Expression Set - Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions . By J Theeuwes, V Bruce, JB Freeman, MG Rhodes, C Darwin, AJ Fridlund, G Horstmann, AA Marsh,. Amsterdam Dynamic Facial Expression Set (ADFES) 22 individuals FACS posing nine emotions, including contempt, pride and embarassment. Both colour apex still images (720x576) and 6 second movies are available. Includes a version where the model turns towards or away from the viewer. Access by request Amsterdam Dynamic Facial Expression Set - ADFES (van der Schalk, Hawk, Fischer, & Doosje, 2011). An alternative way to create dynamic expressions is to animate sequences of morphing which varies in emotional intensity (Biele & Grabowska, 2006). Studies have presented conflicting results concerning th

Stimulus preparation We created our facial stimuli . using still images from the Amsterdam Dynamic Facial Expression Set (ADFES; van der Schalk, Hawk, Fischer, & Doosje, 2011). From the ADFES, we selected 12 differ-ent models to use for morphing (6 males and 6 females). Using the 100%-angry, 100%-happy, and neutral image Van der Schalk J, Hawk ST, Fischer AH, Doosje B. Moving faces, looking places: Validation of the Amsterdam Dynamic Facial Expression Set (ADFES). Emotion. 2011; 11 (4):907-920. 10.1037/a0023853 [Google Scholar 12 videos showing joyful, fearful, and neutral facial expressions were chosen from the Amsterdam Dynamic Facial Expression Set (ADFES) as stimuli . Each of the chosen facial expressions was displayed by two different male and female models. Thus, the dynamic FE paradigm displayed during the EEG recording consists of 12 videos showing 3 facial.

Accordingly, sets of dynamic expressions have been developed (Amsterdam Dynamic Facial Expressions Set; ADFES; van der Schalk et al., 2011). It is important to consider the way in which expression sets are created Tanja S. H. Wingenbach, Chris Ashwin, Mark Brosnan and Cosimo Urgesi, Validation of the Amsterdam Dynamic Facial Expression Set - Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions, PLOS ONE, 11, 1, (e0147112), (2016) This is why we have added another The ADFES (Amsterdam Dynamic Facial algorithm which is the Landmark to our automatic Expression Set) is a riche database for facial micro expression recognition. expression recognition analysis. Expressions are displayed by 22 models 10 female and 12 males Correction: Validation of the Amsterdam Dynamic Facial Expression Set - Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions. By Tanja S H Wingenbach, Chris Ashwin and Mark Brosna

Moving faces, looking places: validation of the Amsterdam dynamic facial expression set (ADFES). Emotion 11, 907-920. 10.1037/a0023853 [Google Scholar] Wellner G., Rothman T. (2020). Feminist AI: can we expect our ai systems to become feminist? Philos. Technol. 33, 191-205. 10.1007/s13347-019-00352-z [Google Scholar Cookies that are essential for the basic functioning of the website. These cookies are used to enable students and staff to log in to the site, for example

Amsterdam Dynamic Facial Expression Set Skyler Hawk and Job van der Schalk developed a new stimulus set, containing nine emotions, posed by male and female actors from different ethnic backgrounds. This set is available and can be freely used for research To assess FER abilities, participants were presented short video sequences, displaying a facial expression developing from neutral to emotional, that were selected from the Amsterdam Dynamic Facial Expression Set (ADFES; van der Schalk et al., 2011)

T. S.H. Wingenbach, C. Ashwin, and M. Brosnan, Validation of the Amsterdam Dynamic Facial Expression Set-Bath Intensity Variations (ADFES-BIV): A set of videos expressing low, intermediate, and high intensity emotions, PloS ONE 11 (1), e0147112 (2016). Article Google Scholar The stimuli used were validated dynamic videos of three Caucasian females silently depicting fear, happy, and neutral emotion expressions while facing forward. One exemplar per emotion for each female was selected from the Amsterdam Dynamic Facial Expression Set (ADFES; Van der Schalk, Hawk, Fischer, & Doosje, 2011). Infants in both age groups. The Amsterdam Dynamic Facial Expression Set (ADFES) Amsterdam Interdisciplinary Centre for Emotion (AICE) Research tools; ADFES Stimulus Set; About the authors; Job van der Schalk. Job van der Schalk currently is a Research Associate at the School of Psychology, Cardiff University, UK. His research focuses on responses to emotions of others and.

In 42 aMDD, 43 rMDD, and 39 healthy controls (HC) FER was assessed using stimuli from the Amsterdam Dynamic Facial Expression Set, reasoning by the Movie for the Assessment of Social Cognition. Furthermore, the activity of Zygomaticus Major and Corrugator supercilii were recorded Van Der Schalk J, Hawk ST, Fischer AH, Doosje B. Moving faces, looking places: validation of the Amsterdam Dynamic Facial Expression Set (ADFES) Emotion. 2011; 11 (4):907-920. doi: 10.1037/a0023853. [Google Scholar] 21. Calvo MG, Nummenmaa L. Perceptual and affective mechanisms in facial expression recognition: An integrative review.. Moving faces, looking places: validation of the Amsterdam Dynamic Facial Expression Set (ADFES). J Van Der Schalk, ST Hawk, AH Fischer, B Doosje Emotion 11 (4), 907 , 201

Stimulus Set Contents - Amsterdam Interdisciplinary Centre

Moving faces, looking places: validation of the Amsterdam Dynamic Facial Expression Set (ADFES) Emotion, 11 (2011), pp. 907-920. CrossRef View Record in Scopus Google Scholar. Scully and Felix, 2005. C. Scully, D.H. Felix. Oral medicine—Update for the dental practitioner: Dry mouth and disorders of salivation Validated sets of actors displaying emotions were used: 48 videos from Amsterdam Dynamic Facial Expression Set ; 60 pictures from the Warsaw Set of Emotional Facial Expression Pictures . Due to the fact that both the pictures and the videos were not accompanied with audio, audio was added to half of the videos, using two validated sets of. Our dynamic stimuli were drawn from the Amsterdam Dynamic Facial Expression Set (ADFES; Van der Schalk, Hawk, Fischer, & Doosje, 2011). Fifty-six stimuli (eight models (four males) expressing seven emotions (anger, sadness, fear, happiness, surprise, disgust, and neutral)) were selected from the full set The central target face shows a fearful expression and the two flanker faces show an angry expression. These faces are from the Amsterdam Dynamic Facial Expression Set (ADFES) (Van Der Schalk et al., 2011), with the central face being identified as F03AFS, and the two flanker faces as M04ANS. Written informed consent from the depicted.

Validation of the Amsterdam Dynamic Facial Expression set

  1. Van Der Schalk J, Hawk ST, Fischer AH, Doosje B. Moving faces, looking places: validation of the Amsterdam Dynamic Facial Expression Set (ADFES). Emotion. 2011;11(4):907. pmid:21859206 . View Article PubMed/NCBI Google Scholar 43. Sullivan S, Campbell A, Hutton SB, Ruffman T
  2. ; Amsterdam Dynamic Facial Expression Set [19]; SmartKom video database [20]; and Belfast Naturalistic video database. 4). These databases commonly provide data on six to nine human facial expressions of emotion. Although the databases have been used successfully for facial expression recognition and synthesis, they have common limitations such.
  3. Dutch researcher Van Der Schalk, Hawk, Fischer and Doosje (2011) developed Amsterdam Dynamic Facial Expression set based on both male and female North--European and Mediterranean models. In the year 2012, Kauland, Cunningham,Buthoff and Wallraven developed MPI facial expression database based on German population
  4. Facial expressions of happiness, anger, and sadness, as well as a neutral expression from four male and four female expressers for the Northern European and Middle-Eastern groups were taken from the Amsterdam Dynamic Facial Expression Set (Van der Schalk et al., 2011) and the photos for the Eastern European group were taken from the Warsaw Set.
  5. More recently, sets of dynamic expressions have been validated for emotional research, such as Perception of Emotion Test - POET (Kilts, Egan, Gideon, Ely, & Hoffman, 2003) and Amsterdam Dynamic Facial Expression Set - ADFES (van der Schalk, Hawk, Fischer, & Doosje, 2011)
  6. ary tests with the systems both visually impaired and sighted persons were presented with sets of stimuli consisting of actors displaying six emotions (e.g. joy, surprise, anger, sadness, fear, and disgust) derived from the validated Amsterdam Dynamic Facial Expression Set and Warsaw Set of Emotional Facial Expression Pictures with.

Facial emotion recognition, theory of mind and the role of

Moving faces, looking places: Validation of the Amsterdam Dynamic Facial Expression Set (ADFES) By Skyler Hawk. FACSGen 2.0 animation software: Generating 3D FACS-valid facial expressions for emotion research. By Eva Krumhuber. Download pdf Stimuli. In study 1, one female set of six still photographs—five facial expressions held to be prototypical of emotion and a neutral face—was selected randomly from the Amsterdam Dynamic Facial Expression Set (54). The facial expressions, coded as the number of cooccurring facial muscle contractions and referred a

Thirty-two facial expressions were selected from the Amsterdam Dynamic Facial Expressions Set (ADFES) . The ADFES expressions are standardised and coded using the Facial Action Coding System . In a validation study, all pressions in the set were identified by participants as the intended emotion in 74% of trials Emotion research has benefited from standardized sets of emotional expressions. Compared to the wealth of research on the recognition of static displays of emotion, only a few studies have examined dynamic information presentation. The Amsterdam Dynamic Facial Expression Set (ADFES) is a set of emotion stimuli that contains video clips of standardized expressions of emotions (Van der Schalk et. In each trial, subjects passively viewed dynamic facial expressions (i.e., short video clips) taken from the Amsterdam Facial Expression Set (ADFES) 32, which displayed either anger, contempt, joy, or pride, or no expression (neutral). Each clip depicted a facial movement from rest to a full expression corresponding to one of the four. Validation of the Amsterdam Dynamic Facial Expression Set (ADFES) Other researchers have since developed additional sets. The Japanese and Caucasian Facial Expression of Emotion (JACFEE; Biehl et al., 1997) includes color pictures of both European-American and Asian-American models. The Montreal Set

Validation of the Amsterdam Dynamic Facial Expression Set

Warsaw set of emotional facial expression pictures: a

The facial stimuli used in this study were taken from the Amsterdam Dynamic Facial Expression Set [Van der Schalk et al., 2011]. Video clips of 12 different individuals (6 male and 6 female) displaying expressions of the six basic emotions (anger, disgust, fear, joy, sadness, and surprise) were chosen as the dynamic stimuli (see Fig. 1 A) facial expression inventories created in a lab setting displaying intense prototypical facial expressions [The Karolinska Directed Emotional Faces (Lundqvist et al., 1998), the Radboud Faces Database (Langer et al., 2010), the Amsterdam Dynamic Facial Expression Set (Van der Schalk et al., 2011), and the Warsaw Set on CK+, Radbound Faces database (RaFD), Amsterdam dynamic facial expression set (ADFES) and proprietary database. Different of other papers, spatial normalization and feature enhancement preprocessing methods are used. The recognition obtained 89.84%, 96.27%, 92.70% for CK+, RaFD and ADFES respectively

Moving faces, looking places: Validation of the Amsterdam

on CK+, Radbound Faces database (RaFD), Amsterdam dynamic facial expression set (ADFES) and proprietary . International Journal of Computer (IJC) (2019) Volume 33, No 1, pp 1-10 . 4 . database. Different of other papers, spatial normalization and feature enhancement preprocessing methods ar Different databases of faces with varying emotional expressions are currently available, such as the Japanese and Caucasian Facial Expressions of Emotion/Japanese and Caucasian Neutral Faces Collection (JACFEE /JACNeuF) , the Montreal Set of Facial Displays of Emotion (MSFDE) , the Amsterdam Dynamic Facial Expression Set (ADFES) , the Facial.

Example face-forward picturesFacial exemplars of three male targets ranging from

Facial expression analysis with AFFDEX and FACET: A

After the movement peak, the expression was held for 1250 ms. Happy and sad stimuli were taken from the Amsterdam Dynamic Facial Expression Set 64. Full size image. Design, procedure, and data. from the Warsaw Set of Emotional Facial Expression Pictures (WSEFEP) [20] and videos from the Amsterdam Dynamic Facial Expression Set (ADFES) [21]. Such validated sets of images and videos of actors showing strong emotional expressions in controlled laboratory conditions play an important role in the training and development of emotion recognitio

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Validation of the Amsterdam Dynamic Facial Expression Set (ADFES) Chapter 3 Convergence and Divergence to Emotional Displays of Ingroup and Outgroup Chapter 4 Reminders of Death and Emotional Contagion to Ingroup and Outgroup Chapter 5 General Discussion References Summary (in English) Samenvatting (in Nederlands) Dankwoord 9 29 61 93 105 129. When the model which is tuned by W-CR-AFM is tested on extended Cohn-Kanade (CK+), Radboud Faces database, and Amsterdam dynamic facial expression set, our approach can improve the recognition accuracy by about 3.01%, 0.49%, and 5.33%, respectively Images from the Amsterdam Dynamic Facial Expression Set (ADFES) were presented on a Tobii T120 Eye Tracker screen. Multivariate and correlational methods were used to analyse data. Static Results: Controls displayed greater fixation durations; counts to eyes were more accurate and quicker identifying emotions than TBI participants

Raw and unbiased hit rates in percentages for the 10

The fear gasping face as a threat display in a - PNA

Tanja SH Wingenbach, Chris Ashwin, and Mark Brosnan. 2016. Validation of the Amsterdam Dynamic Facial Expression Set--Bath Intensity Variations (ADFES-BIV): A set of videos expressing low, intermediate, and high intensity emotions. PloS one 11, 1 (2016), e0147112. Google Scholar Cross Ref; Georgios N Yannakakis and Ana Paiva. 2014. Emotion in. Wingenbach, T. S., Ashwin, C. & Brosnan, M. Validation of the Amsterdam Dynamic Facial Expression Set - Bath Intensity Variations (ADFES-BIV): A set of videos expressing low, intermediate, and. Russell, J.A. (1994). Is there universal recognition of emotion from facial expression? A review of the cross-cultural studies. Psychological Bulletin, 115, 1, 102-141. 1st European CERE meeting Amsterdam, May 13-15, 2004 - WHAT ABOUT RECOGNITION OF SPONTANEOUS AND DYNAMIC FACIAL EXPRESSIONS OF EMOTIONS ? - * * Feuil3. Feuil2. Feuil1. Figure Dynamic face blocks contained dynamic facial expressions taken from the Amsterdam Dynamic Facial Expression Set (ADFES) (van der Schalk et al. 2011). Four male and four female identities changed among neutral and either disgust, fearful, happy, or sad expressions Moving faces, looking places: Validation of the Amsterdam Dynamic Facial Expression Set (ADFES). Emotion. Google Scholar: Access content To read the fulltext, please use one of the options below to sign in or purchase access. Access Options. My Account. Welcome. You do not have access to this content

Validation-study: Basic emotions and Action Units Noldu

The goal of this study was to validate AFFDEX and FACET, two software based algorithms to analyze emotional facial expressions. In Study 1, pictures of standardized emotional facial expressions from three databases, Warsaw Set of Emotional Facial Expression Pictures (WSEFEP), Amsterdam Dynamic Facial Expression Set (ADFES) and Radboud Faces. Emotional facial expressions play a critical role in theories of emotion and figure prominently in research on almost every aspect of emotion. This article provides a background for a new database of basic emotional expressions. The goal in creating this set was to provide high quality photographs of genuine facial expressions. Thus, after proper training, participants were inclined to express. Face blocks contained dynamic facial expressions taken from the Amsterdam Dynamic Facial Expression Set (van der Schalk et al., 2011) or the final static frames from the dynamic facial videos, capturing the expression apexes. Eight different identities (four male and four female) changed among neutral and disgust, fearful, happy, or sad.

Frontiers | Angry and Fearful Face Conflict Effects inComparison of action units (AUs) and the underlying facialChinese jumping Buddhist lions - Japanese Antique StoreValidation-study: Basic emotions and Action Units | Noldus

Emotional Facial Expression Pictures (WSEFEP) and Amsterdam Dynamic Facial Expression Set (ADFES). The software reached a FACS index of agreement of 0.69 on average in both datasets. The results of this validation test are meaningful only in relation to human performanc (2016) from the Amsterdam Dynamic Facial Expression Set (ADFES; van der Schalk et al., 2011). We carried out an analysis of the amount of motion contained in the videos used by Heck and colleagues (2016) based on an established algorithm (e.g., Jessen & Kotz, 2011; Pichon, de Gelder, & Grèzes, 2008; Pichon, de Gelder, & Grèzes, 2009) Set of Facial Displays of Emotion3 ; Amsterdam Dynamic In a research by Helmut and Leon [24], they implemented Facial Expression Set [19]; SmartKom video database [20]; 13 AUs on faces with soft-looking skins which can simulate and Belfast Naturalistic video database4 )