Results 31 to 40 of about 3,888,868 (294)
The role of spatial frequency information for ERP components sensitive to faces and emotional facial expression [PDF]
, 2005 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 ...
Eimer, Martin +7 more
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Facial Expression Manipulation for Personalized Facial Action Estimation
Frontiers in Signal Processing, 2022 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
A More Objective Quantification of Micro-Expression Intensity through Facial Electromyography
, 2022 Micro-expressions are facial expressions that individuals reveal when trying to hide their genuine emotions. It has potential applications in areas such as lie detection and national security.
Dong, Zizhao +5 more
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Research on facial expression recognition based on an improved fusion algorithm
Nonlinear Engineering, 2022 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
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Changes in Computer-Analyzed Facial Expressions with Age
Sensors, 2021 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
Face expression image detection and recognition based on big data technology
International Journal of Intelligent Networks, 2023 This research addresses the deficiencies in current dynamic sequence facial expression recognition methods, which suffer from limited accuracy and effectiveness.
Shuji Deng
doaj +1 more source
Adaptive 3D Model-Based Facial Expression Synthesis and Pose Frontalization
Sensors, 2020 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
Recognising facial expressions in video sequences [PDF]
, 2008 We introduce a system that processes a sequence of images of a front-facing human face and recognises a set of facial expressions. We use an efficient appearance-based face tracker to locate the face in the image sequence and estimate the deformation of ...
Muñoz, Enrique +2 more
core +1 more source
Sensors, 2013 Facial expressions are widely used in the behavioral interpretation of emotions, cognitive science, and social interactions. In this paper, we present a novel method for fully automatic facial expression recognition in facial image sequences.
Joonwhoan Lee, Deepak Ghimire
doaj +1 more source
Scholarpedia, 2008 Facial expressions refer to movements of the mimetic musculature of the face. The vast majority of these muscles are innervated by the VIIth cranial nerve, emanating from the brainstem between the pons and medulla (Figure 1). The nerve includes a motor root that supplies somatic muscle fibers to the muscles of the face, scalp, and outer ear, enabling ...
David Matsumoto, Paul Ekman
openaire +2 more sources