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Facial expression detection using facial expression model [PDF]
2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017 Facial 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.
P. Swarnalatha, Hari Prasad Mal
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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
Esther Strauss, Morris Moscovitch
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Geometry Guided Pose-Invariant Facial Expression Recognition
IEEE Transactions on Image Processing, 2020Driven by recent advances in human-centered computing, Facial Expression Recognition (FER) has attracted significant attention in many applications. However, most conventional approaches either perform face frontalization on a non-frontal facial image or
Feifei Zhang +3 more
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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 ...
Jill E. Salem +5 more
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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 ...
Jill Keane +5 more
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Facial Reactions to Facial Expressions
Psychophysiology, 1982ABSTRACTPrevious research has demonstrated that different patterns of facial muscle activity are correlated with different emotional states. In the present study subjects were exposed to pictures of happy and angry facial expressions, in response to which their facial electromyographic (EMG) activities, heart rate (HR), and palmar skin conductance ...
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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.
Sahebrao B. Bagal, Ketki R. Kulkarni
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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.
Sahebrao B. Bagal, Ketki R. Kulkarni
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Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments, 2021
The description of the results of five psychophysiological studies using automatic coding facial expression in adults and children (from 4 to 16 years) in the FaceReader software version 8.0 is presented.
E. Lyakso, O. Frolova, Yuri N. Matveev
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The description of the results of five psychophysiological studies using automatic coding facial expression in adults and children (from 4 to 16 years) in the FaceReader software version 8.0 is presented.
E. Lyakso, O. Frolova, Yuri N. Matveev
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Perceptual and Motor Skills, 2001
This study examined facial expression in the presentation of sarcasm. 60 responses (sarcastic responses = 30, nonsarcastic responses = 30) from 40 different speakers were coded by two trained coders. Expressions in three facial areas—eyebrow, eyes, and mouth—were evaluated.
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This study examined facial expression in the presentation of sarcasm. 60 responses (sarcastic responses = 30, nonsarcastic responses = 30) from 40 different speakers were coded by two trained coders. Expressions in three facial areas—eyebrow, eyes, and mouth—were evaluated.
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Facial Expression Recognition by De-expression Residue Learning
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018A facial expression is a combination of an expressive component and a neutral component of a person. In this paper, we propose to recognize facial expressions by extracting information of the expressive component through a de-expression learning ...
Huiyuan Yang, U. Ciftci, L. Yin
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