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微表情研究的进展与展望
RECENT ADVANCES AND FUTURE TRENDS IN MICROEXPRESSION RESEARCH

查看参考文献26篇

文摘 微表情是人类试图压抑或隐藏真实情感时泄露的非常短暂的、不能自主控制的面部表情。作为识别谎言的有效线索,微表情可应用于安全、司法、临床等领域。本文概述微表情识别的研究情况,包括微表情识别的心理学研究、自动微表情识别研究和微表情数据库的构建要求,以及微表情表达的研究进展,并展望微表情研究的未来发展方向。
其他语种文摘 Microexpression is a fast and uncontrollable facial movement revealing an emotion that a person tries to conceal. It could be applied to security, forensic investigations, and clinical fields as an effective clue for detecting deceptions. In this paper, we summarize the latest studies on microexpression recognition, including psychological studies, automated microexpression recognition studies, and the requirements for developing a microexpression database. Then we discuss the current progress on microexpression generation research. In addition, the future trends in this field are discussed.
来源 中国科学基金 ,2013,27(2):75-78,82 【核心库】
关键词 微表情识别 ; 微表情表达 ; 微表情数据库
地址

中国科学院心理研究所, 脑与认知科学国家重点实验室, 北京, 100101

语种 中文
文献类型 综述型
ISSN 1000-8217
学科 社会科学总论
文献收藏号 CSCD:4822910

参考文献 共 26 共2页

1.  Ekman P. Telling lies: Clues to Deceit in the Marketplace, Politics and Marriage. 2nd Ed,2001 被引 1    
2.  Haggard E A. Micromomentary facial expressions as indicators of ego mechanisms in psychotherapy. Methods of Research in Psychotherapy,1966:154-165 被引 15    
3.  Ekman P. Nonverbal leakage and clues to deception. Psychiatry,1969,32:88-97 被引 31    
4.  Henig M R. Looking for the lie,2006:47-53 被引 1    
5.  Schubert S. A look tells all. Scientific American Mind,2006,17:26-31 被引 2    
6.  Weinberger S. Intent to deceive: Can the science of deception detection help to catch terrorists?. Nature,2010,465:412-415 被引 6    
7.  Ekman P. Nonverbal behavior and psychology. The Psychology of Depression: Contemporary Theory and Research,1974:203-224 被引 3    
8.  Matsumoto D. A new test to measure emotion recognition ability: Matsumoto and Ekman's Japanese and Caucasian Brief Affect Recognition Test (JACBART). Journal of Nonverbal Behavior,2000,24(3):179-209 被引 8    
9.  Ekman P. Who can catch a liar. American Psychologist,1991,46(9):913-920 被引 7    
10.  Frank M G. The ability to detect deceit generalizes across different types of high-stake lies. Journal of Personality and Social Psychology,1997,72(6):1429-1439 被引 9    
11.  Ekman P. Micro Expression Training Tool (METT),2002 被引 3    
12.  Ekman P. Lie catching and microexpressions. The Philosophy of Deception,2009:118-133 被引 13    
13.  Shen X. Effects of duration of expressions on the recognition of microexpressions. Journal of Zhejiang University-SCIENCE B,2012,13:221-230 被引 4    
14.  Polikovsky S. Facial micro-expressions recognition using high speed camera and 3D-gradient descriptor. 3rd International Conference on Crime Detection and Prevention,2009 被引 2    
15.  Shreve M. Towards macroand micro-expression spotting in video using strain patterns. Workshop on Applications of Computer Vision,2009:1-6 被引 1    
16.  Shreve M. Macro-and micro-expression spotting in long videos using spatio-temporal strain. The Ninth IEEE International Conference on Automatic Face and Gesture Recognition, FG 2011 被引 1    
17.  Pfister T. Recognizing spontaneous facial micro-expressions. Proceedings of IEEE International Conference on Computer Vision,2011:1449-1456 被引 2    
18.  Wu Q. The machine knows what you are hiding: An automatic micro-expression recognition sysytem. Affective Computing and Intelligent Interaction: lectures notes in computer science,2011,6975:152-162 被引 3    
19.  Ekman P. Detecting deception from the body or face. Journal of Personality and Social Psychology,1974,29(3):288-298 被引 5    
20.  Yan W J. CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces. IEEE Conference on Automatic Face and Gesture Recognition,2013 被引 1    
引证文献 13

1 梁静 说谎的非言语视觉线索 心理科学进展,2014,22(6):995-1005
被引 9

2 贲睨烨 微表情自动识别综述 计算机辅助设计与图形学学报,2014,26(9):1385-1395
被引 0 次

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