Counterfactual Fairness for Facial Expression Recognition
Given the increasing prevalence of facial analysis technology, the problem of bias in these tools is becoming an even greater source of concern. Causality has been proposed as a method to address the problem of bias, giving rise to the popularity of using counterfactuals as a bias mitigation tool.
Cheong, Jiaee +2 more
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A Specific Association between Facial Disgust Recognition and Estradiol Levels in Naturally Cycling Women. [PDF]
Subtle changes in social cognition are associated with naturalistic fluctuations in estrogens and progesterone over the course of the menstrual cycle.
H. Valerie Curran (724366) +14 more
core +1 more source
Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model
Facial expression recognition (FER) is advancing human-computer interaction, especially, today, where facial masks are commonly worn due to the COVID-19 pandemic.
H. M. Shahzad +4 more
doaj +1 more source
Does gaze direction modulate facial expression processing in children with autism spectrum disorder? [PDF]
Two experiments investigated whether children with autism spectrum disorder (ASD) integrate relevant communicative signals, such as gaze direction, when decoding a facial expression. In Experiment 1, typically developing children (9–14 years old; n = 14)
Akechi, H. +5 more
core +1 more source
Explaining Facial Expression Recognition
Facial expression recognition (FER) has emerged as a promising approach to the development of emotion-aware intelligent agents and systems. However, key challenges remain in utilizing FER in real-world contexts, including ensuring user understanding and establishing a suitable level of user trust.
Sanjeev Nahulanthran +3 more
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Facial expression recognition via ResNet-50
As one of the most important directions in the field of computer vision, facial emotion recognition plays an important role in people's daily work and life. Human emotion recognition based on facial expressions is of great significance in the application
Bin Li, Dimas Lima
doaj +1 more source
Face expression recognition based on NGO-BILSTM model
IntroductionFacial expression recognition has always been a hot topic in computer vision and artificial intelligence. In recent years, deep learning models have achieved good results in accurately recognizing facial expressions.
Jiarui Zhong, Tangxian Chen, Liuhan Yi
doaj +1 more source
Use of 3D faces facilitates facial expression recognition in children [PDF]
This study assessed whether presenting 3D face stimuli could facilitate children’s facial expression recognition. Seventy-one children aged between 3 and 6 participated in the study. Their task was to judge whether a face presented in each trial showed a
Wenfeng Chen +5 more
core +1 more source
Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding
Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper.
Ying Chen, Shiqing Zhang, Xiaoming Zhao
doaj +1 more source
Facial Communicative Signal Interpretation in Human-Robot Interaction by Discriminative Video Subsequence Selection [PDF]
Lang C, Wachsmuth S, Hanheide M, Wersing H. Facial Communicative Signal Interpretation in Human-Robot Interaction by Discriminative Video Subsequence Selection.; 2012.Facial communicative signals (FCSs) such as head gestures, eye gaze, and facial ...
Wersing, Heiko +7 more
core +2 more sources

