The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces
Abstract
Micro-expressions are facial expressions which are fleeting and reveal genuine emotions that people try to conceal. These are important clues for detecting lies and dangerous behaviors and therefore have potential applications in various fields such as the clinical field and national security. However, recognition through the naked eye is very difficult. Therefore, researchers in the field of computer vision have tried to develop micro-expression detection and recognition algorithms but lack spontaneous micro-expression databases. In this study, we attempted to create a database of spontaneous micro-expressions which were elicited from neutralized faces. Based on previous psychological studies, we designed an effective procedure in lab situations to elicit spontaneous micro-expressions and analyzed the video data with care to offer valid and reliable codings. From 1500 elicited facial movements filmed under 60fps, 195 micro-expressions were selected. These samples were coded so that the first, peak and last frames were tagged. Action units (AUs) were marked to give an objective and accurate description of the facial movements. Emotions were labeled based on psychological studies and participants' self-report to enhance the validity.
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Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Micromomentary facial expressions as indicators of ego mechanisms in psychotherapy
Haggard, E. A., & Isaacs, K. S. (1966) · Methods of Research in Psychotherapy · doi:10.1007/978-1-4684-6045-2_14 · Cited by 343
Facial micro-expressions recognition using high speed camera and 3D-gradient descriptor
Polikovsky, S., Kameda, Y., & Ohta, Y. (2009) · 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009) · doi:10.1049/ic.2009.0244 · Cited by 312
Macro- and micro-expression spotting in long videos using spatio-temporal strain
Shreve, M., Godavarthy, S., Goldgof, D., & Sarkar, S. (2011) · Face and Gesture 2011 · doi:10.1109/fg.2011.5771451 · Cited by 218
Towards macro- and micro-expression spotting in video using strain patterns
Shreve, M., Godavarthy, S., Manohar, V., Goldgof, D., & Sarkar, S. (2009) · 2009 Workshop on Applications of Computer Vision (WACV) · doi:10.1109/wacv.2009.5403044 · Cited by 124
The Machine Knows What You Are Hiding: An Automatic Micro-expression Recognition System
Wu, Q., Shen, X., & Fu, X. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-24571-8_16 · Cited by 104
Self-citation
Cited by
CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation
Yan, W.-J., Li, X., Wang, S.-J., Zhao, G., Liu, Y.-J., Chen, Y.-H., & Fu, X. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086041 · Cited by 993
Self-citationCorneanu, C. A., Simon, M. O., Cohn, J. F., & Guerrero, S. E. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2515606 · Cited by 527
OFF-ApexNet on micro-expression recognition system
Gan, Y. S., Liong, S.-T., Yau, W.-C., Huang, Y.-C., & Tan, L.-K. (2019) · Signal Processing: Image Communication · doi:10.1016/j.image.2019.02.005 · Cited by 303
Microexpression Identification and Categorization Using a Facial Dynamics Map
Xu, F., Zhang, J., & Wang, J. Z. (2017) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2016.2518162 · Cited by 283
Recognizing Facial Expressions Using a Shallow Convolutional Neural Network
Miao, S., Xu, H., Han, Z., & Zhu, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2921220 · Cited by 110
Metadata
- Authors
- Yan, W.-J., Wu, Q., Liu, Y.-J., Wang, S.-J., & Fu, X.
- Venue
- 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
- Publisher
- IEEE
- Published
- 2013-04
- Pages
- 1-7
- OpenAlex
- W1983014650
- Cited by
- 338
- References
- 6
- FWCI
- 20.89
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Yan, W.-J., Wu, Q., Liu, Y.-J., Wang, S.-J., & Fu, X. (2013). CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces. 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG). https://doi.org/10.1109/fg.2013.6553799
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