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Encyclopedia of Evolutionary Psychological Science, 2018
： Johaass ◎ n （ 1973 ｝ Showed that human movements such as walking can be recognized from a sma 口 number ofdotsfixed at various pa rts of the body （biological motion ） ， We inve 試 igate whether peopie can also recognize facial exp re Sgons of emotion f 蹲
Fridlund, AJ +4 more
semanticscholar +4 more sources
： Johaass ◎ n （ 1973 ｝ Showed that human movements such as walking can be recognized from a sma 口 number ofdotsfixed at various pa rts of the body （biological motion ） ， We inve 試 igate whether peopie can also recognize facial exp re Sgons of emotion f 蹲
Fridlund, AJ +4 more
semanticscholar +4 more sources
Sixteen facial expressions occur in similar contexts worldwide
Nature, 2020Alan S Cowen +2 more
exaly +2 more sources
DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild
ACM Multimedia, 2020Recently, facial expression recognition (FER) in the wild has gained a lot of researchers' attention because it is a valuable topic to enable the FER techniques to move from the laboratory to the real applications.
Xingxun Jiang +6 more
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The Compositionality of Facial Expressions
Perception, 2022The principle of compositionality, an important postulation in language and cognition research, posits that the meaning of a complex expression is determined by the meaning of its constituting parts and the operation performed on those parts. Here, we provide strong evidence that this principle plays a significant role also in interpreting facial ...
Carmel Sofer +3 more
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International Conference on Intelligent Computing, 2020
One of the ways humans communicate is by using facial expressions. Research on technology development in artificial intelligence uses deep learning methods in human and computer interactions as an effective system application process.
Lutfiah Zahara +4 more
semanticscholar +1 more source
One of the ways humans communicate is by using facial expressions. Research on technology development in artificial intelligence uses deep learning methods in human and computer interactions as an effective system application process.
Lutfiah Zahara +4 more
semanticscholar +1 more source
Perception of facial expressions
Brain and Language, 1981Abstract Three studies examined the nature of the contributions of each hemisphere to the processing of facial expressions and facial identity. A pair of faces, the members of which differed in either expression or identity, were presented to the right or left field. Subjects were required to compare the members of the pair to each other (experiments
E, Strauss, M, Moscovitch
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Facial expression analysis with facial expression deformation
2008 19th International Conference on Pattern Recognition, 2008In this paper, we proposes an effective and novel approach to recognize subtle facial expression method which is facial expression deformation. The proposed method deforms subtle facial expressions into corresponding extreme facial expressions. Facial expression deformation processes by extracting subtle motion vector of the predefined feature points ...
Sungsoo Park, Jongju Shin, Daijin Kim
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Facial expression in schizophrenia
Biological Psychiatry, 1996Recent empirical studies have found that schizophrenics exhibit diminished observable facial expressivity in response to emotional stimuli (e.g., Berenbaum and Oltmanns 1992; Kring et al 1993; Kring and Neale 1996) yet report experiencing similar levels of emotion as their normal counterparts; however, it remains unclear whether schizophrenics are ...
K S, Earnst +5 more
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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
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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