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Micromomentary facial expressions as indicators of ego mechanisms in psychotherapy
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In the citing paper
“They were first reported by Haggard and Issacs in 1966 [244].”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [244]
In the citing paper
“Microexpressions are brief FEs that people in high stake situations make when trying to conceal their feelings.”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [244]
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Items 301–338 of 338
Facial Micro-expressions Analysis: Its Databases, Feature Extraction, and Classification Methods
Khoh, W. H., Chuen, A. L. F., Pang, Y. H., & Yap, H. Y. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-8406-8_8
Video-Based Micro Expressions Recognition Using Deep Learning and Transfer Learning
Kapadia, S., Praladhka, U., Unadkat, U., Parekh, V., & Karani, R. B. (2023) · Springer proceedings in mathematics & statistics · doi:10.1007/978-3-031-16178-0_16
Micro-Expression Recognition Based on Spatio-Temporal Feature Extraction of Key Regions
Zhu, W., Li, Y., Liu, Q., & Zeng, Z. (2023) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2023.037216
The Aesthetics and Ethics of Unwritten Music
Beaudoin, R. (2023) · doi:10.1093/oso/9780197659281.003.0002
Beaudoin, R. (2023) · doi:10.1093/oso/9780197659281.003.0005
Beaudoin, R. (2023) · doi:10.1093/oso/9780197659281.003.0006
Beaudoin, R. (2023) · doi:10.1093/oso/9780197659281.002.0008
Beaudoin, R. (2023) · doi:10.1093/oso/9780197659281.003.0007
Beaudoin, R. (2023) · doi:10.1093/oso/9780197659281.003.0003
Beaudoin, R. (2023) · doi:10.1093/oso/9780197659281.003.0004
Beaudoin, R. (2023) · doi:10.1093/oso/9780197659281.002.0005
Beaudoin, R. (2023) · doi:10.1093/oso/9780197659281.003.0001
Beaudoin, R. (2023) · doi:10.1093/oso/9780197659281.002.0004
Micro-Expression Apex Frame Detection Based on Multi Feature Integration and Background Modeling
马, 韵. (2024) · Computer Science and Application · doi:10.12677/csa.2024.141016
Time Efficient Micro-Expression Recognition Using Weighted Spatio-Temporal Landmark Graphs
Matharaarachchi, N., Pasha, M. F., Coleman, S., & Kerr, D. (2023) · International Conference on Machine Learning and Applications · doi:10.1109/icmla58977.2023.00055
“Haggard and Isaacs first identified micro-expressions in 1966 [1]; psychologist Paul Ekman expanded on this work in 1969 [2] by identifying six fundamental emotions that may be represented through micro-expressions: anger, contempt, fear, happiness, sorrow, and surprise.”
ExpressionFlow: A Microexpression Descriptor for Efficient Recognition
Xu, F., Yuan, Y., Zhang, J., & Wang, J. Z. (2023) · Springer eBooks · doi:10.1007/978-3-031-50269-9_8
Deep learning-based Facial Micro-Expression Analysis: A Survey of Datasets and Algorithms
Xie, M. (2024) · Current Trends in Biomedical Engineering & Biosciences · doi:10.19080/ctbeb.2024.22.556086
Effects of Neurodivergence on Deepfake-Video Detection: Autism Spectrum Disorder
Tidler, Z. R., & Catrambone, R. (2024) · Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care · doi:10.1177/2327857924131020
“…(2021) it was suggested that the reason for the relationship between AD ability and deepfake detection (DFD) performance could be that those with high AD ability rely on an emotional recognition system that is somehow “tuned” to regularities in facial microexpressions (Haggard & Isaacs, 1966).”
Micro-expression recognition method integrating LBP and parallel attention mechanism
Shuaichao, L., Li, M., Jiaao, S., & Lu, S. (2024) · Journal of applied artificial intelligence. · doi:10.59782/aai.v1i3.333
Bruni, V., Cuomo, S., & Vitulano, D. (2024) · Communications in Applied and Industrial Mathematics · doi:10.2478/caim-2024-0016
Multi-source Unsupervised Domain Adaptation for Micro-expression Recognition
He, Y., Xiong, Y., Ma, L., & Li, H. (2024) · International Conference on Signal Processing · doi:10.1109/icsp62129.2024.10846342
Körperlesen: Zur Kulturgeschichte der Körperspracheanalyse
Rauwald, J. (2025) · Zeitschrift für Literaturwissenschaft und Linguistik · doi:10.1007/s41244-025-00387-0
Do we like honest signal givers? Macro and micro expressions of disgust
Glowacki, Z. R., Frank, M. G., Xu, W., Setlur, S., Xu, C., & Glowacki, C. R. (2025) · Current Psychology · doi:10.1007/s12144-025-08074-6 · Cited by 1
“The effort to conceal the emotional expression can dampen the duration of the expression to micro-momentary speeds of less than ½ a second, what is known as a ‘micro expression’ (Ekman & Friesen, 1969; Frank & Svetieva, 2015 ; Haggard & Isaacs, 1966).”
Leveraging Pupil Facial Fusion for Enhanced Micro-Expression Recognition
Wang, C., & Takahashi, S. (2025) · International Conference on Image and Vision Computing New Zealand (IVCNZ) · doi:10.1109/ivcnz67716.2025.11281864
“Micro-expressions are universal and involuntary [1], [3], characterized by short duration (40–200 ms) [7], low intensity with AU activation [5], and regional specificity [9].”
Learning a Reliable Graph Model for Micro-Expression Recognition
Liu, J., Shi, H., Xu, X., et al. (2025) · International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR) · doi:10.1109/aihcir67580.2025.11405182
“Haggard and Isaacs first identified that MEs can reveal genuine human emotions which individuals attempt to conceal [1], [2], [3].”
ME-Aware Cues Guided Spatiotemporal Neural Networks for Micro-Expression Recognition
Liu, J., Shi, H., Liang, H., & Wang, Y. (2025) · International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR) · doi:10.1109/aihcir67580.2025.11405160
“Micro-expressions (MEs) are one type of particular facial expression and were first discovered by Haggard and Isaacs in 1966 during their research of ego mechanisms [1].”
LMa-BMN: Local Motion-Aware Boundary Matching Network for Macro- and Micro-Expression Spotting
Liu, J., Shi, H., Xu, X., et al. (2025) · International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR) · doi:10.1109/aihcir67580.2025.11405152
“Facial expressions, comprising both macro-expressions and micro-expressions, are fundamental cues for interpreting human emotions [5], [6], [7], [8].”
CIT: Context Interaction Transformer for Micro-Expression Recognition in Natural Scene
Liang, H., Liu, J., Wang, Y., & Shi, H. (2025) · International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR) · doi:10.1109/aihcir67580.2025.11405365
“First identified by Haggard and Isaacs [4] and later elaborated by Ekman and Friesen [5], MEs have gained increasing attention from both psychology and computer vision research [6].”
Video Analysis for Micro- Expression Spotting and Recognition
Lu, H. (2018) · theses.fr (ABES) · doi:10.70675/7ce29cb9z6e23z48cfzbf50z270ecf3e0381 · Cited by 1
Surdité et cinéma : un choc qui fait empreinte
Fougère-Danezan, B. (2023) · doi:10.70675/8c216231zd9f0z4156zaca2z78694b3c9d47
Why Do Vision Language Models Struggle To Recognize Human Emotions?
Agarwal, M., Tsaftaris, S. A., Sevilla-Lara, L., & McDonagh, S. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-37020-4_9 · Cited by 2
Beyond the Blink: Decoding Magnified Facial Micro-expressions with Transfer Learning
Kaur, J., Banerjee, A., & Patra, D. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-18480-1_25
Zhao, L., Li, J., Dong, Z., Qian, Y., & Wang, S. (2026) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg67764.2026.11556938
Robert Hobson: his legacy – key ideas and innovations.
Margison, F. R. (2024) · The Therapeutic Conversation · doi:10.66330/091120245
Kai, Z., & Fu, X. (2026) · American Journal of Clinical Hypnosis · doi:10.1080/00029157.2026.2710316
Emotion Awareness and Antisocial Behavior
Savitsky, J. C., & Eby, T. L. (1979) · Springer eBooks · doi:10.1007/978-1-4613-2892-6_17
Metadata
- Authors
- Haggard, E. A., & Isaacs, K. S.
- Venue
- Methods of Research in Psychotherapy
- Publisher
- Springer US
- Published
- 1966
- Pages
- 154-165
- OpenAlex
- W65855405
- Cited by
- 343
- References
- 0
- Citations by year
- 2026: 5 · 2025: 20 · 2024: 19 · 2023: 36 · 2022: 43 · 2021: 29 · 2020: 31 · 2019: 20 · 2018: 18 · 2017: 14 · 2016: 15 · 2015: 9 · 2014: 15 · 2013: 7 · 2012: 5
- FWCI
- 5.89
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Social Sciences › Psychology › Clinical Psychology › Psychoanalysis and Psychopathology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Keywords
- facial expressions, micro-expressions, psychotherapy, therapeutic process, nonverbal behavior
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