A More Objective Quantification of Micro-Expression Intensity through Facial Electromyography

Author:

Lu Shaoyuan1,Li Jingting1,Wang Yan1,Dong Zizhao1,Wang Su-Jing1,Fu Xiaolan2

Affiliation:

1. CAS Key Laboratory of Behavioral Science, Institute of Psychology & Department of Psychology, University of the Chinese Academy of Sciences, Beijing, China

2. State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences & Department of Psychology, University of the Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference39 articles.

1. Robert W Levenson . The search for autonomic specificity. The nature of emotion , pages 252 -- 257 , 1994 . Robert W Levenson. The search for autonomic specificity. The nature of emotion, pages 252--257, 1994.

2. Paul Ekman , Wallace V Friesen , and Phoebe Ellsworth . Emotion in the Human Face: Guide-lines for Research and an Integration of Findings: Guidelines for Research and an Integration of Findings . Pergamon , 1972 . Paul Ekman, Wallace V Friesen, and Phoebe Ellsworth. Emotion in the Human Face: Guide-lines for Research and an Integration of Findings: Guidelines for Research and an Integration of Findings. Pergamon, 1972.

3. Differentiating emotion elicited and deliberate emotional facial expressions

4. Paul Ekman and Wallace V Friesen . Unmasking the face: A guide to recognizing emotions from facial clues , volume 10 . Ishk , 2003 . Paul Ekman and Wallace V Friesen. Unmasking the face: A guide to recognizing emotions from facial clues, volume 10. Ishk, 2003.

5. Lie Catching and Microexpressions

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1. Acquisition and Analysis of Facial Electromyographic Signals for Emotion Recognition;Sensors;2024-07-24

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4. Nonlinear Deep Subspace Network for Micro-expression Recognition;Proceedings of the 3rd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis;2023-10-29

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