Evidence for training the ability to read microexpressions of emotion

By Dawn A. Matsumoto, H. C. Hwang. 2011

241 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Social Psychology

View Paper: https://www.semanticscholar.org/paper/a0cc68ef4ba1a981e5a730dd5634cec51df165f7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Guoying Zhao
2. Yong-jin Liu
3. Xiaobai Li
4. Xiaopeng Hong
5. Matti Pietikäinen
6. Tomas Pfister
7. Xiaohua Huang

In Social Psychology

1. Guoying Zhao
2. Yong-jin Liu
3. Xiaolan Fu
4. Kevin Tan
5. Matti Pietikäinen
6. Xiaobai Li
7. N. Costen
8. Cliff Lansley

Citations in the corpus

• Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods (2015, background): “tion varies [2], [3]), and the intensities of involved muscle movements are subtle [4].”
• SAMM: A Spontaneous Micro-Facial Movement Dataset (2018, methodology): “Experiments by Matsumoto and Hwang [10] summarise a micro-expression to be less than half a second, and discuss whether training humans in detecting micro-facial expressions was effective.”
• CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation (2014, background): “The generally accepted upper limit of the duration is 1/2 s [3,6].”
• A Spontaneous Micro-expression Database: Inducement, collection and baseline (2013, methodology): “For the SMIC database we use 1/2 second as the cut line [30], [31].”
• Video-Based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms (2021, unknown): “form of micro-expressions [15] (Figure 2).”
• CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces (2013, background): “Matsumoto defined any facial expressions shorter than 500 ms as micro-expressions [6], which are much faster than conventional facial expressions and easily neglected.”
• How Fast are the Leaked Facial Expressions: The Duration of Micro-Expressions (2013, background): “This result echoes Matsumoto and Friesen’s definition on the duration of micro-expression which is no more than 500 ms (Matsumoto and Hwang 2011).”