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Alexithymia and the Recognition of Facial Expressions of Emotion
Psychotherapy and Psychosomatics, 1993Slides of photographs depicting posed facial expressions of nine different emotions were presented to 131 females and 85 males who were asked to identify the emotion(s) being experienced by the person in each photograph. Subjects were then administered the 20-item version of the Toronto Alexithymia Scale; the 33rd and 66th percentiles were used to ...
J D, Parker, G J, Taylor, R M, Bagby
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2003
The most expressive way humans display emotions is through facial expressions. Humans detect and interpret faces and facial expressions in a scene with little or no effort. Still, development of an automated system that accomplishes this task is rather difficult. There are several related problems: detection of an image segment as a face, extraction of
Nicu Sebe, Michael S. Lew
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The most expressive way humans display emotions is through facial expressions. Humans detect and interpret faces and facial expressions in a scene with little or no effort. Still, development of an automated system that accomplishes this task is rather difficult. There are several related problems: detection of an image segment as a face, extraction of
Nicu Sebe, Michael S. Lew
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Recognition of Facial Emotional Expression in Images
2006 IEEE 14th Signal Processing and Communications Applications, 2006This study presents a new method to recognize facial emotional expression which is all accepted globally that has a great role in human communication. The method uses basic image processing techniques and based on curve fitting on mouth region and able to detect happiness, surprise and sadness emotions within the universally accepted emotional ...
Danisman, Taner, ALPKOÇAK, ADİL
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Facial expression recognition as a creative interface
Proceedings of the 13th international conference on Intelligent user interfaces, 2008We present an audiovisual creativity tool that automatically recognizes facial expressions in real time, producing sounds in combination with images. The facial expression recognition component detects and tracks a face and outputs a feature vector of motions of specific locations in the face.
R. Valenti, A. Jaimes, Sebe, Niculae
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Facial expression recognition in Williams syndrome
Neuropsychologia, 2003Individuals with Williams syndrome (WS) excel in face recognition and show both a remarkable concern for social stimuli and a linguistic capacity for, in particular, emotionally referenced language. The animated full facial expression comprehension test (AFFECT), a new test of emotional expression perception, was used to compare participants with WS ...
Gagliardi, C. +5 more
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Mapping the development of facial expression recognition
Developmental Science, 2015AbstractReading the non‐verbal cues from faces to infer the emotional states of others is central to our daily social interactions from very early in life. Despite the relatively well‐documented ontogeny of facial expression recognition in infancy, our understanding of the development of this critical social skill throughout childhood into adulthood ...
Helen, Rodger +3 more
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Investigating Bias and Fairness in Facial Expression Recognition
ECCV Workshops, 2020Recognition of expressions of emotions and affect from facial images is a well-studied research problem in the fields of affective computing and computer vision with a large number of datasets available containing facial images and corresponding ...
Tian Xu +3 more
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Computer Recognition of Facial Expressions of Emotion
2012In this paper, we study the computer recognition of emotions involved in facial expressions. We propose a recognition system based on a support vector machine (SVM) system as a classifier for detecting of spontaneous emotions. Using a face detection algorithm we created theface representation.
Piątkowska, Ewa, Martyna, Jerzy
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Simultaneous Facial Feature Tracking and Facial Expression Recognition
IEEE Transactions on Image Processing, 2013The tracking and recognition of facial activities from images or videos have attracted great attention in computer vision field. Facial activities are characterized by three levels. First, in the bottom level, facial feature points around each facial component, i.e., eyebrow, mouth, etc., capture the detailed face shape information.
Yongqiang, Li +3 more
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Facial Expression Recognition on partial facial sections
2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA), 2019Research by psychologists have shown that subjects had a preference for a side of a face when it was expressing emotions. This paper seeks to find what accuracies can be attained when only a segment of the face is considered. We show that using one side of the face only reduces accuracy by 0.34% but at half the computationally time required.
Ryan Melaugh +3 more
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