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Facial Reactions to Facial Expressions

Psychophysiology, 1982
ABSTRACTPrevious research has demonstrated that different patterns of facial muscle activity are correlated with different emotional states. In the present study subjects were exposed to pictures of happy and angry facial expressions, in response to which their facial electromyographic (EMG) activities, heart rate (HR), and palmar skin conductance ...
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Facial Pain Expression

Pain Management, 2011
SUMMARY People in pain communicate their experience via facial expressions. There has been considerable research into the properties of pain expressions. This article reviews basic findings on the encoding and decoding of pain expression. The facial expression of pain is characterized and recent findings on its assessment and psychometric properties ...
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Investigating Bias and Fairness in Facial Expression Recognition

ECCV Workshops, 2020
Recognition of expressions of emotions and affect from facial images is a well-studied research problem in the fields of affective computing and computer vision with a large number of datasets available containing facial images and corresponding ...
Tian Xu   +3 more
semanticscholar   +1 more source

MMATrans: Muscle Movement Aware Representation Learning for Facial Expression Recognition via Transformers

IEEE Transactions on Industrial Informatics
How to automatically recognize facial expression has caused concerns in industrial human–robot interaction. However, facial expression recognition (FER) is susceptible to problems, such as occlusion, arbitrary orientations, and illumination.
Hai Liu   +6 more
semanticscholar   +1 more source

FACIAL EXPRESSION AND SARCASM

Perceptual and Motor Skills, 2001
This study examined facial expression in the presentation of sarcasm. 60 responses (sarcastic responses = 30, nonsarcastic responses = 30) from 40 different speakers were coded by two trained coders. Expressions in three facial areas—eyebrow, eyes, and mouth—were evaluated.
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Geometry Guided Pose-Invariant Facial Expression Recognition

IEEE Transactions on Image Processing, 2020
Driven by recent advances in human-centered computing, Facial Expression Recognition (FER) has attracted significant attention in many applications. However, most conventional approaches either perform face frontalization on a non-frontal facial image or
Feifei Zhang   +3 more
semanticscholar   +1 more source

Facial Expression Recognition in Videos Using Dynamic Kernels

IEEE Transactions on Image Processing, 2020
Recognition of facial expressions across various actors, contexts, and recording conditions in real-world videos involves identifying local facial movements.
Nazil Perveen   +2 more
semanticscholar   +1 more source

Dynamic Facial Expression Recognition Using Longitudinal Facial Expression Atlases

2012
In this paper, we propose a new scheme to formulate the dynamic facial expression recognition problem as a longitudinal atlases construction and deformable groupwise image registration problem. The main contributions of this method include: 1) We model human facial feature changes during the facial expression process by a diffeomorphic image ...
Zhao Guoying   +2 more
openaire   +1 more source

Facial Expression Processing

1986
This paper presents a theoretical analysis of the process of recognising facial expressions. That process is interesting in its own right, since it touches upon the general problems of knowing other minds and of social communication. In addition, analysis of facial expression processing may contribute to understanding face recognition generally.
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Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition

IEEE Transactions on Affective Computing, 2019
Facial expression recognition (FER) is increasingly gaining importance in various emerging affective computing applications. In practice, achieving accurate FER is challenging due to the large amount of inter-personal variations such as expression ...
Dae Hoe Kim   +3 more
semanticscholar   +1 more source

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