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CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database With Depth Information and High Ecological Validity

文献类型：期刊论文

作者Li, Jingting5; Dong, Zizhao5; Lu, Shaoyuan4,5; Wang, Su-Jing4,5; Yan, Wen-Jing3; Ma, Yinhuan2; Liu, Ye1,4; Huang, Changbing4,5; Fu, Xiaolan1,4
刊名IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
出版日期2023-03-01
卷号45期号:3页码:2782-2800
ISSN号0162-8828
关键词Databases Psychology Face recognition Videos Iron Emotion recognition Trajectory Micro-expression micro-expression databases CASME depth information ecological validity multi-modality
DOI10.1109/TPAMI.2022.3174895
通讯作者Wang, Su-Jing(wangsujing@psych.ac.cn) ; Fu, Xiaolan(fuxl@psych.ac.cn)
英文摘要Micro-expression (ME) is a significant non-verbal communication clue that reveals one person's genuine emotional state. The development of micro-expression analysis (MEA) has just gained attention in the last decade. However, the small sample size problem constrains the use of deep learning on MEA. Besides, ME samples distribute in six different databases, leading to database bias. Moreover, the ME database development is complicated. In this article, we introduce a large-scale spontaneous ME database: CAS(ME)(3). The contribution of this article is summarized as follows: (1) CAS(ME)(3) offers around 80 hours of videos with over 8,000,000 frames, including manually labeled 1,109 MEs and 3,490 macro-expressions. Such a large sample size allows effective MEA method validation while avoiding database bias. (2) Inspired by psychological experiments, CAS(ME)(3) provides the depth information as an additional modality unprecedentedly, contributing to multi-modal MEA. (3) For the first time, CAS(ME)(3) elicits ME with high ecological validity using the mock crime paradigm, along with physiological and voice signals, contributing to practical MEA. (4) Besides, CAS(ME)(3) provides 1,508 unlabeled videos with more than 4,000,000 frames, i.e., a data platform for unsupervised MEA methods. (5) Finally, we demonstrate the effectiveness of depth information by the proposed depth flow algorithm and RGB-D information.
收录类别SCI
WOS关键词RECOGNITION ; RESPONSES
资助项目National Natural Science Foundation of China[U19B2032] ; National Natural Science Foundation of China[61772511] ; National Natural Science Foundation of China[62106256] ; National Natural Science Foundation of China[62061136001] ; China Postdoctoral Science Foundation[2020M680738] ; National Key Research and Development Project[2018AAA0100205]
WOS研究方向Computer Science ; Engineering
语种英语
出版者IEEE COMPUTER SOC
WOS记录号WOS:000966955800001
资助机构National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; National Key Research and Development Project
源URL[http://ir.psych.ac.cn/handle/311026/46489]  
专题心理研究所_中国科学院行为科学重点实验室
通讯作者Wang, Su-Jing; Fu, Xiaolan
作者单位1.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
2.Jiangsu Univ Sci & Technol, Sch Comp Sci, Zhenjiang 212100, Jiangsu, Peoples R China
3.Wenzhou Med Univ, Sch Mental Hlth, Wenzhou 325035, Zhejiang, Peoples R China
4.Univ Chinese Acad Sci, Dept Psychol, Beijing 100049, Peoples R China
5.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Li, Jingting,Dong, Zizhao,Lu, Shaoyuan,et al. CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database With Depth Information and High Ecological Validity[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2023,45(3):2782-2800.
APA Li, Jingting.,Dong, Zizhao.,Lu, Shaoyuan.,Wang, Su-Jing.,Yan, Wen-Jing.,...&Fu, Xiaolan.(2023).CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database With Depth Information and High Ecological Validity.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,45(3),2782-2800.
MLA Li, Jingting,et al."CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database With Depth Information and High Ecological Validity".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 45.3(2023):2782-2800.

入库方式： OAI收割

来源：心理研究所

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