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The telltale face: Possible mechanisms behind defector and cooperator recognition revealed by emotional facial expression metrics

Zsófia Kovács-Bálint, Tamás Bereczkei, István Hernádi
2012 British Journal of Psychology  
In this study, we investigated the role of facial cues in cooperator and defector recognition.  ...  In summary, facial expressions can be considered as reliable indicators of momentary social dispositions in the PDG.  ...  A ´rpa ´d Csatho ´for valuable discussion on the statistical analysis of the data, and Ferenc Kocsor for his kind help in image morphing.  ... 
doi:10.1111/bjop.12007 pmid:24094284 fatcat:ctb67rpww5e5riucnm3mgm5acq

Facial Expression Recognition [chapter]

Maja Pantic
2014 Encyclopedia of Biometrics  
Facial Expression Recognition Evaluating Performance of an Automated System for Facial Expression Recognition The two crucial aspects of evaluating performance of a designed automatic facial expression  ...  The Process of Automatic Facial Expression Recognition The problem of machine recognition of human facial expression includes three subproblem areas ( Fig. 1) : (1) finding faces in the scene, (2) extracting  ... 
doi:10.1007/978-3-642-27733-7_98-3 fatcat:jp4hhmnafzhv5hg2xebstjm6ae

Automatic recognition of eye blinking in spontaneously occurring behavior

Jeffrey F. Cohn, Jing Xiao, Tsuyoshi Moriyama, Zara Ambadar, Takeo Kanade
2003 Behavoir research methods, instruments & computers  
Previous research in automatic facial expression recognition has been limited to recognition of gross expression categories (e.g., joy or anger) in posed facial behavior under well-controlled conditions  ...  We have developed a system that detects discrete and important facial actions, (e.g., eye blinking), in spontaneously occurring facial behavior with non-frontal pose, moderate out-of-plane head motion,  ...  A limitation of almost all research to date in automatic facial expression recognition is that it is limited to deliberate facial expression recorded under controlled conditions that omit significant head  ... 
doi:10.3758/bf03195519 pmid:14587550 fatcat:7qdygif5qvabxktrqyexysa5aq

Automatic Decoding of Facial Movements Reveals Deceptive Pain Expressions

Marian Stewart Bartlett, Gwen C. Littlewort, Mark G. Frank, Kang Lee
2014 Current Biology  
However, a computer vision system that automatically measures facial movements and performs pattern recognition on those movements attained 85% accuracy.  ...  Two motor pathways control facial movement [4-7]: a subcortical extrapyramidal motor system drives spontaneous facial expressions of felt emotions, and a cortical pyramidal motor system controls voluntary  ...  However, a computer vision system that automatically measures facial movements and performs pattern recognition on those movements attained 85% accuracy.  ... 
doi:10.1016/j.cub.2014.02.009 pmid:24656830 pmcid:PMC4034269 fatcat:mcrhmzlpaneyvmi6rac7vben2i

Enabling Continuous Emotional Status Display in Mobile Text Chat [chapter]

Jackson Feijó Filho, Wilson Prata, Thiago Valle
2015 Lecture Notes in Computer Science  
This work describes an effort to extend text chat in mobile devices by continuously displaying emotional status and inserting automatically detected facial expression responses, such as a smile, to conversations  ...  The implementation of a mobile phone application with the debated feature is described and user studies are reported. Context of application, conclusions and future works are also discussed.  ...  Affirming questions such as: "Why do our facial expressions of emotions take the particular forms they do?"  ... 
doi:10.1007/978-3-319-20367-6_2 fatcat:36b5m6q42bb6rdt3663star7om

Action Unit recognition in still images using graph-based feature selection

Teodora Sechkova, Krasimir Tonchev, Agata Manolova
2016 2016 IEEE 8th International Conference on Intelligent Systems (IS)  
These facts are the main reason for automatic facial expression recognition being one of the hot topics of many research efforts and being useful in so many commercial and scientific fields.  ...  Facial expressions are universal and independent of race, culture, ethnicity, nationality, gender, age, religion, or any other demographic variable.  ...  All people express emotions on their faces in exactly the same ways. Facial expressions are immediate, automatic, and unconscious reactions to the emotions felt by the person.  ... 
doi:10.1109/is.2016.7737496 dblp:conf/is/SechkovaTM16 fatcat:sznzealqsfco3ouimfoco6vgsa

Combining Sequential Geometry and Texture Features for Distinguishing Genuine and Deceptive Emotions

Liandong Li, Tadas Baltrusaitis, Bo Sun, Louis-Philippe Morency
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
In this paper, we explore a new type of automatic emotion recognition task -distinguishing genuine and deceptive emotions from video clips.  ...  For this task, it is not enough only using static images clipped from the video data, as there's only subtle differences between two types of emotions, which makes it even harder for automatic analysis  ...  On the contrary, we explored using temporal attention model for new type of task: automatic recognition of deceptive facial expressions.  ... 
doi:10.1109/iccvw.2017.372 dblp:conf/iccvw/LiBSM17 fatcat:nzgb2ztd2vhvnkssdk2k2nadey

Facial Expression Recognition For Mood Analysis

Prof. P. A. Patil
2019 International Journal for Research in Applied Science and Engineering Technology  
Facial expression recognition is the process of assigning an emotional label to a still image or a video.  ...  Facial expression is the main approach for human to express their emotional state.  ...  The idea is to use known image media forensics approaches to detect the face expressions of the given input image and exploring visual-based approaches for mood analysis.  ... 
doi:10.22214/ijraset.2019.4263 fatcat:djz7w3f2wvg33ay6v7x2dhyt54

Facial Expression Recognition [chapter]

Leon Gu, Takeo Kanade, Dmitry O. Gorodnichy, Ming-Hsuan Yang, Massimo Tistarelli, Patrick Grother, Elham Tabassi, Shiguang Shan, Xilin Chen, Wen Gao, Ioannis Patras, Ioannis A. Kakadiaris (+75 others)
2009 Encyclopedia of Biometrics  
Facial Expression Recognition Evaluating Performance of an Automated System for Facial Expression Recognition The two crucial aspects of evaluating performance of a designed automatic facial expression  ...  The Process of Automatic Facial Expression Recognition The problem of machine recognition of human facial expression includes three subproblem areas ( Fig. 1) : (1) finding faces in the scene, (2) extracting  ... 
doi:10.1007/978-0-387-73003-5_98 fatcat:ybuf6gpxdnd2fiv2ki5hqbztjq

Detecting Deception from Emotional and Unemotional Cues

Gemma Warren, Elizabeth Schertler, Peter Bull
2008 Journal of nonverbal behavior  
Emotional lie detection accuracy was also significantly positively correlated with reported use of facial expressions and with performance on the SETT, but not on the METT.  ...  Encoders were video recorded giving either truthful or deceptive descriptions of video footage designed to generate either emotional or unemotional responses.  ...  of these automatic expressions will nonetheless often occur through either so-called ''reliable'' facial muscles or through micro-expressions.  ... 
doi:10.1007/s10919-008-0057-7 fatcat:pmtvxyoql5autjndar52qcznky

Page 427 of Behavior Research Methods Vol. 35, Issue 3 [page]

2003 Behavior Research Methods  
AUTOMATIC RECOGNITION OF EYE BLINKING 427 alyzed image data from Frank and Ekman (1997), who collected them under naturalistic conditions in the course of psychological research on deception, and not with  ...  Comprehensive database for facial expression analysis. Proceedings of the IEEE Conference on Automatic Face and Gesture Recognition, 4, 46-53. Karson, C. N. (1988).  ... 

Editorial: Recognizing Microexpression: An Interdisciplinary Perspective

Xunbing Shen, Wenfeng Chen, Guoying Zhao, Ping Hu
2019 Frontiers in Psychology  
Automatic facial micro-expression analysis has received increasing attention in the area of computer vision.  ...  Oh et al. presented a comprehensive review of state-of-the-art databases and methods for micro-expressions recognition, and pointed out the challenges and future directions in the field of automatic facial  ...  Oulu, the Fundamental Research Funds for the Central Universities, and the Research Funds of Renmin University of China (18XNLG10) and the National Natural Science Foundation of China (31371031, 61632004  ... 
doi:10.3389/fpsyg.2019.01318 pmid:31214101 pmcid:PMC6558206 fatcat:7enah2cmcfdjdew6fbqgvjgvrq

Identifying Liars Through Automatic Decoding of Children's Facial Expressions

Kaila C. Bruer, Sarah Zanette, Xiao Pan Ding, Thomas D. Lyon, Kang Lee
2019 Child Development  
These findings provide evidence to support the use of automatically coded facial expressions to detect children's deception.  ...  Using a computer vision program to automatically decode children's facial expressions according to the Facial Action Coding System, this study employed machine learning to determine whether facial expressions  ...  utility of children's facial expressions to identify deception.  ... 
doi:10.1111/cdev.13336 pmid:31682003 fatcat:i3zpu5do45g7vp6xp6vbh2ek3e

Automated Facial Expression Recognition System

Andrew Ryan, Jeffery F. Cohn, Simon Lucey, Jason Saragih, Patrick Lucey, Fernando De la Torre, Adam Rossi
2009 43rd Annual 2009 International Carnahan Conference on Security Technology  
This portable, near real-time system will detect the seven universal expressions of emotion (figure 1), providing investigators with indicators of the presence of deception during the interview process  ...  The Automated Facial Expression Recognition System (AFERS) automates the manual practice of FACS, leveraging the research and technology behind the CMU/PITT Automated Facial Image Analysis System (AFA)  ...  Andrew Ryan from the Naval Criminal Investigative Service for his sponsorship of this initiative.  ... 
doi:10.1109/ccst.2009.5335546 fatcat:k3vfxueblzgubghs66elr6pw44

A Card Playing Humanoid for Understanding Socio-emotional Interaction [chapter]

Min-Gyu Kim, Kenji Suzuki
2010 Lecture Notes in Computer Science  
We considered that understanding deception in terms of mind reading plays a key role in realistic interactions for social robots.  ...  In order to understand the human mind, the humanoid robot observes nonverbal deception cues through multimodal perception during poker playing which is one of human social activities.  ...  In particular, automatic facial expression recognition related research emphasizes the importance of facial expression's temporal dynamics for deception detection [12] .  ... 
doi:10.1007/978-3-642-15399-0_2 fatcat:zfpwwmhgbnbi3ab5na3zrnduvy
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