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Emotion Recognition via Facial Expressions

2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA), 2018
For the last decade, a rising need for emotion recognition has been noticed in several domains, such as virtual reality, human-computer interaction, video games and health monitoring, etc. Effectively, emotion recognition via facial expressions attracts increasing attention. Based on geometrical facial features, this paper proposes a new facial emotion
Kahina Amara   +5 more
openaire   +1 more source

Facial emotion recognition in Scottish prisoners

International Journal of Law and Psychiatry, 2012
Studies of antisocial populations have found that they show deficits in recognition of facial affect. Such deficits are also found in other populations with clinical conditions such as autism spectrum disorders, schizophrenia and obsessive compulsive disorder.We aimed to investigate the hypothesis that facial affect recognition in the Scottish prison ...
Robinson, Louise   +10 more
openaire   +2 more sources

Oxytocin and Facial Emotion Recognition

2017
The expression of emotion in faces serves numerous meaningful functions, such as conveying messages of danger or approach, facilitating communication, and promoting the formation of social bonds and relationships. The study of facial expressions of emotion has become integral to research in social psychology and social neuroscience, particularly with ...
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Recognition of Facial Emotions in Neuropsychiatric Disorders

CNS Spectrums, 2004
ABSTRACTRecognition of facial emotions represents an important aspect of interpersonal communication and is governed by select neural substrates. We present data on emotion recognition in healthy young adults utilizing a novel set of color photographs of evoked universal emotions.
Christian G, Kohler   +3 more
openaire   +2 more sources

Fuzzy System for Facial Emotion Recognition

2021
Fuzzy logic-based systems can be used for representing and handling the vagueness and uncertainty involved in predicting human emotions. The performance of a fuzzy inference system depends on the design of the system. The fuzzification step involves the design of the membership functions, that characterize the fuzzy set of each linguistic variable.
Kanika Gupta   +3 more
openaire   +1 more source

Alexithymia and the Recognition of Facial Expressions of Emotion

Psychotherapy and Psychosomatics, 1993
Slides 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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Emotion Recognition with Facial Landmark Heatmaps

2019
Facial expression recognition is a very challenging problem and has attracted more and more researchers’ attention. In this paper, considering that facial expression recognition is closely related to the features of key facial regions, we propose a facial expression recognition network that explicitly utilizes the landmark heatmap information to ...
Siyi Mo   +3 more
openaire   +1 more source

Wavelet networks for facial emotion recognition

2015 15th International Conference on Intelligent Systems Design and Applications (ISDA), 2015
Face emotion recognition is one of the most important and rapidly advanced active research areas of computer science. A new method for facial expression recognition based on wavelet network classifier is proposed in this paper. It allows us the detection of six basic emotions other than the neutral one: (Joy, surprise, sadness, anger, fear and disgust)
Salwa Said   +3 more
openaire   +1 more source

Facial emotion recognition with expression energy

Proceedings of the 14th ACM international conference on Multimodal interaction, 2012
Facial emotion recognition, the inference of an emotion from apparent facial expressions, in unconstrained settings is a typical case where algorithms perform poorly. A property of the AVEC2012 data set is that individuals in testing data are not encountered in training data.
Albert C. Cruz, Bir Bhanu, Ninad Thakoor
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Impaired Recognition of Facial Emotion in Mania

American Journal of Psychiatry, 2002
Recognition of facial emotion was examined in manic subjects to explore whether aberrant interpersonal interactions are related to impaired perception of social cues.Manic subjects with bipolar I disorder (N=8), euthymic subjects with bipolar I (N=8) or bipolar II (N=8) disorder, and healthy comparison subjects (N=10) matched pictures of faces to the ...
Anna, Lembke, Terence A, Ketter
openaire   +2 more sources

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