Results 221 to 230 of about 405,852 (280)
Facial expression and facial expression recognition in Parkinson's disease
, 2005 openaire +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
SSRN Electronic Journal, 2021
This paper aims to incorporate facial expression recognition needs and applications. The expression of the face is the mode of non-verbal communications between the verbals and nonverbs.. It reflects or fills a human perspective and its mental state. A major research initiative was conducted over two decades to develop human computer interaction.
Chandra Bhushan Singh +2 more
openaire +2 more sources
This paper aims to incorporate facial expression recognition needs and applications. The expression of the face is the mode of non-verbal communications between the verbals and nonverbs.. It reflects or fills a human perspective and its mental state. A major research initiative was conducted over two decades to develop human computer interaction.
Chandra Bhushan Singh +2 more
openaire +2 more sources
Facial Expression Recognition in the Wild via Deep Attentive Center Loss
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021Learning discriminative features for Facial Expression Recognition (FER) in the wild using Convolutional Neural Networks (CNNs) is a non-trivial task due to the significant intra-class variations and inter-class similarities.
A. Farzaneh, Xiaojun Qi
semanticscholar +1 more source
Understanding the recognition of facial identity and facial expression
Nature Reviews Neuroscience, 2005Faces convey a wealth of social signals. A dominant view in face-perception research has been that the recognition of facial identity and facial expression involves separable visual pathways at the functional and neural levels, and data from experimental, neuropsychological, functional imaging and cell-recording studies are commonly interpreted within ...
Andrew J Calder, Andrew W Young
exaly +3 more sources
Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition
Computer Vision and Pattern Recognition, 2023Dynamic Facial Expression Recognition (DFER) is a rapidly developing field that focuses on recognizing facial expressions in video format. Previous research has considered non-target frames as noisy frames, but we propose that it should be treated as a ...
Hanyang Wang +6 more
semanticscholar +1 more source
IEEE Transactions on Affective Computing, 2022
In this article, behaviour of students in the e-learning environment is analyzed. The novel pipeline is proposed based on video facial processing. At first, face detection, tracking and clustering techniques are applied to extract the sequences of faces ...
A. Savchenko +2 more
semanticscholar +1 more source
In this article, behaviour of students in the e-learning environment is analyzed. The novel pipeline is proposed based on video facial processing. At first, face detection, tracking and clustering techniques are applied to extract the sequences of faces ...
A. Savchenko +2 more
semanticscholar +1 more source
Facial Expression Recognition Using Residual Masking Network
International Conference on Pattern Recognition, 2021Automatic facial expression recognition (FER) has gained much attention due to its applications in human-computer interaction. Among the approaches to improve FER tasks, this paper focuses on deep architecture with the attention mechanism.
Luan Pham, T. H. Vu, T. A. Tran
semanticscholar +1 more source
2015 Annual IEEE India Conference (INDICON), 2015
Facial expression recognition, due to its wide research areas become active research topic. This paper presents comparative analysis of automatic Facial Expression Recognition by compensating effect of age on the recognition process by Weighted Least Square filtering. System uses Gabor filter and Log Gabor filter to extract facial features.
Ketki R. Kulkarni, Sahebrao B. Bagal
openaire +1 more source
Facial expression recognition, due to its wide research areas become active research topic. This paper presents comparative analysis of automatic Facial Expression Recognition by compensating effect of age on the recognition process by Weighted Least Square filtering. System uses Gabor filter and Log Gabor filter to extract facial features.
Ketki R. Kulkarni, Sahebrao B. Bagal
openaire +1 more source
2009
The facial expression has long been an interest for psychology, since Darwin published The expression of Emotions in Man and Animals (Darwin, C., 1899). Psychologists have studied to reveal the role and mechanism of the facial expression. One of the great discoveries of Darwin is that there exist prototypical facial expressions across multiple cultures
Daijin Kim, Jaewon Sung
openaire +3 more sources
The facial expression has long been an interest for psychology, since Darwin published The expression of Emotions in Man and Animals (Darwin, C., 1899). Psychologists have studied to reveal the role and mechanism of the facial expression. One of the great discoveries of Darwin is that there exist prototypical facial expressions across multiple cultures
Daijin Kim, Jaewon Sung
openaire +3 more sources
Impact of Deep Learning Approaches on Facial Expression Recognition in Healthcare Industries
IEEE Transactions on Industrial Informatics, 2022A facial expression recognition system that can provide quick assistance to the healthcare system and exceptional services to the patients is proposed in this article. The implementation of this work is divided into three components.
Carmen Bisogni +4 more
semanticscholar +1 more source