Facial Emotion Recognition Using Convolutional Brain Emotional Learning (CBEL) Model [PDF]
Facial expression is considered one of the most important ways of communication and human response to its environment. Recognition of facial emotional expression is used in many research fields, such as psychological studies, robotics, identity ...
Sara Motamed +2 more
doaj +1 more source
The role of spatial frequency information for ERP components sensitive to faces and emotional facial expression [PDF]
To investigate the impact of spatial frequency on emotional facial expression analysis, ERPs were recorded in response to low spatial frequency (LSF), high spatial frequency (HSF), and unfiltered broad spatial frequency (BSF) faces with fearful or ...
Adolphs +67 more
core +1 more source
Changes in Computer-Analyzed Facial Expressions with Age
Facial expressions are well known to change with age, but the quantitative properties of facial aging remain unclear. In the present study, we investigated the differences in the intensity of facial expressions between older (n = 56) and younger adults ...
Hyunwoong Ko +8 more
doaj +1 more source
EMPATH: A Neural Network that Categorizes Facial Expressions [PDF]
There are two competing theories of facial expression recognition. Some researchers have suggested that it is an example of "categorical perception." In this view, expression categories are considered to be discrete entities with sharp boundaries, and ...
Adolphs, Ralph +3 more
core +2 more sources
Self-Difference Convolutional Neural Network for Facial Expression Recognition
Facial expression recognition (FER) is a challenging problem due to the intra-class variation caused by subject identities. In this paper, a self-difference convolutional network (SD-CNN) is proposed to address the intra-class variation issue in FER ...
Leyuan Liu +3 more
doaj +1 more source
Cultural-based visual expression: Emotional analysis of human face via Peking Opera Painted Faces (POPF) [PDF]
© 2015 The Author(s) Peking Opera as a branch of Chinese traditional cultures and arts has a very distinct colourful facial make-up for all actors in the stage performance.
C Yang +16 more
core +1 more source
Research on facial expression recognition based on an improved fusion algorithm
This article puts forward a facial expression recognition (FER) algorithm based on multi-feature fusion and convolutional neural network (CNN) to solve the problem that FER is susceptible to interference factors such as non-uniform illumination, thereby ...
Yaermaimaiti Yilihamu +2 more
doaj +1 more source
Facial Expression Manipulation for Personalized Facial Action Estimation
Limited sizes of annotated video databases of spontaneous facial expression, imbalanced action unit labels, and domain shift are three main obstacles in training models to detect facial actions and estimate their intensity.
Koichiro Niinuma +3 more
doaj +1 more source
The convolutional neural network (CNN) has been widely used in image recognition field due to its good performance. This paper proposes a facial expression recognition method based on the CNN model. Regarding the complexity of the hierarchic structure of
Yingying Wang +3 more
semanticscholar +1 more source
Adaptive 3D Model-Based Facial Expression Synthesis and Pose Frontalization
Facial expressions are one of the important non-verbal ways used to understand human emotions during communication. Thus, acquiring and reproducing facial expressions is helpful in analyzing human emotional states.
Yu-Jin Hong +5 more
doaj +1 more source

