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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
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
2017
The argument about whether facial expressions of emotion are universal or culture-specific goes back more than 100 years. This chapter reviews the different kinds of evidence that support universals in expression and cultural differences. I will present eight challenges to that evidence, and how those challenges have been met by proponents of ...
Michael H. Eaves, Dale Leathers
+6 more sources
The argument about whether facial expressions of emotion are universal or culture-specific goes back more than 100 years. This chapter reviews the different kinds of evidence that support universals in expression and cultural differences. I will present eight challenges to that evidence, and how those challenges have been met by proponents of ...
Michael H. Eaves, Dale Leathers
+6 more sources
Caricaturing facial expressions
Cognition, 2000The physical differences between facial expressions (e.g. fear) and a reference norm (e.g. a neutral expression) were altered to produce photographic-quality caricatures. In Experiment 1, participants rated caricatures of fear, happiness and sadness for their intensity of these three emotions; a second group of participants rated how 'face-like' the ...
A J, Calder +5 more
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Joint Expression Synthesis and Representation Learning for Facial Expression Recognition
IEEE transactions on circuits and systems for video technology (Print), 2021Facial expression recognition (FER) is a challenging task due to the large appearance variations and the lack of sufficient training data. Conventional deep approaches either learn a good representation through deep models or synthesize images ...
Xi Zhang, Feifei Zhang, Changsheng Xu
semanticscholar +1 more source
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 detection using facial expression model
2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017Facial expressions are the facial changes indicating internal state of human being, objectives or communal conversation. Subject to the change of emotions on the face, any persons face is the most important mode of conveying and deducing affective states of human ones.
Hari Prasad Mal, P. Swarnalatha
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Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism
IEEE Transactions on Image Processing, 2019Facial expression recognition in the wild is challenging due to various unconstrained conditions. Although existing facial expression classifiers have been almost perfect on analyzing constrained frontal faces, they fail to perform well on partially ...
Yong Li +3 more
semanticscholar +1 more source
IEEE Transactions on Image Processing, 2019
Facial expression is central to human experience, but most previous databases and studies are limited to posed facial behavior under controlled conditions.
Shan Li, Weihong Deng
semanticscholar +1 more source
Facial expression is central to human experience, but most previous databases and studies are limited to posed facial behavior under controlled conditions.
Shan Li, Weihong Deng
semanticscholar +1 more source
Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition
Computer Vision and Pattern Recognition, 2020Many existing studies reveal that annotation inconsistency widely exists among a variety of facial expression recognition (FER) datasets. The reason might be the subjectivity of human annotators and the ambiguous nature of the expression labels.
Shikai Chen +5 more
semanticscholar +1 more source