scholarly journals Recognition of Emotions through Cartoon Facial Expressions in Preschoolers

2021 ◽  
Author(s):  
Arlette Suzy Setiawan
Keyword(s):  
Facial Expressions ◽  
Recognition Of Emotions

scholarly journals Student Prize-Winning Abstracts 2010

2011 ◽  
Vol 12 (1) ◽  
pp. 77-77
Author(s):  
Sharpley Hsieh ◽  
Olivier Piguet ◽  
John R. Hodges
Keyword(s):  
Emotion Recognition ◽  
Facial Expressions ◽  
Negative Emotions ◽  
Emotion Detection ◽  
Recognition Of Facial Expressions ◽  
Patient Groups ◽  
The Neural Networks ◽  
Emotional Dimensions ◽  
Recognition Of Emotions ◽  
Valence And Arousal

AbstractIntroduction: Frontotemporal dementia (FTD) is a progressive neurode-generative brain disease characterised clinically by abnormalities in behaviour, cognition and language. Two subgroups, behavioural-variant FTD (bvFTD) and semantic dementia (SD), also show impaired emotion recognition particularly for negative emotions. This deficit has been demonstrated using visual stimuli such as facial expressions. Whether recognition of emotions conveyed through other modalities — for example, music — is also impaired has not been investigated. Methods: Patients with bvFTD, SD and Alzheimer's disease (AD), as well as healthy age-matched controls, labeled tunes according to the emotion conveyed (happy, sad, peaceful or scary). In addition, each tune was also rated along two orthogonal emotional dimensions: valence (pleasant/unpleasant) and arousal (stimulating/relaxing). Participants also undertook a facial emotion recognition test and other cognitive tests. Integrity of basic music detection (tone, tempo) was also examined. Results: Patient groups were matched for disease severity. Overall, patients did not differ from controls with regard to basic music processing or for the recognition of facial expressions. Ratings of valence and arousal were similar across groups. In contrast, SD patients were selectively impaired at recognising music conveying negative emotions (sad and scary). Patients with bvFTD did not differ from controls. Conclusion: Recognition of emotions in music appears to be selectively affected in some FTD subgroups more than others, a disturbance of emotion detection which appears to be modality specific. This finding suggests dissociation in the neural networks necessary for the processing of emotions depending on modality.

scholarly journals A simple multi-feature classification to recognize human emotions in Images

2020 ◽  
Author(s):  
Navin Ipe
Keyword(s):  
Neural Networks ◽  
Facial Expressions ◽  
General Pattern ◽  
Facial Feature ◽  
Facial Features ◽  
Feature Classification ◽  
Complex Process ◽  
The Face ◽  
Recognition Of Emotions ◽  
Human Emotions

The recognition of emotions via facial expressions is a complex process of piecing together various aspects of each facial feature. Since viewing a single facial feature in isolation may result in an inaccurate recognition of emotion, this paper attempts training neural networks to first identify specific facial features in isolation, and then use the general pattern of expressions on the face to identify the overall emotion. The technique presented is very basic, and can definitely be improved with more advanced techniques that incorporate time<br>and context.

scholarly journals Recognition of emotions through facial expression analysis

2021 ◽  
Vol 2 (2) ◽  
pp. 2102-2118
Author(s):  
Freddy Alejandro Castro Salinas ◽  
Geovanny Genaro Reivan Ortiz ◽  
Pedro Carlos Martínez Suarez
Keyword(s):  
Facial Expressions ◽  
Inclusion Criteria ◽  
Letters To The Editor ◽  
Exclusion Criteria ◽  
Facial Expression Analysis ◽  
Literature Evidence ◽  
The Subject ◽  
Recognition Of Emotions ◽  
The One ◽  
Search For Information

The possibility of recognizing what emotion one of our peers is experiencing has been the subject of study by various researchers over the years, Paul Ekman being the one who has delved most deeply into this subject, the most viable and simple way to achieve this would be through the analysis of people's facial expressions. The search for information was carried out using rigorous exclusion criteria such as studies corresponding to grizzly data and letters to the editor, and inclusion criteria such as studies published only in high impact journals such as PubMed, Elsevier, Taylor & Francis, ScienceDirect, APA PsycNet and Springer, PRISMA guidelines and AMSTAR check-list were used. The main objective of this systematic review was to determine whether there is sufficient scientific literature evidence to clarify whether it is possible to accurately identify the six basic universal emotions "happiness, surprise, sadness, anger, fear and disgust" proposed by Paul Ekman through facial expressions. After the analysis of the articles collected and based on the main findings, it is concluded that the recognition of emotions through facial expressions is a subject that still needs to be studied in greater depth, as suggested by the results obtained.

Preschooler’s faces in spontaneous emotional contexts—how well do they match adult facial expression prototypes?

2012 ◽  
Vol 36 (5) ◽  
pp. 348-357 ◽  
Author(s):  
Augusta Gaspar ◽  
Francisco G. Esteves
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Facial Expressions Of Emotion ◽  
Adults And Children ◽  
Facial Behavior ◽  
Facial Activity ◽  
Recognition Of Emotions

Prototypical facial expressions of emotion, also known as universal facial expressions, are the underpinnings of most research concerning recognition of emotions in both adults and children. Data on natural occurrences of these prototypes in natural emotional contexts are rare and difficult to obtain in adults. By recording naturalistic observations targeted at emotional contexts in day-to-day kindergarten activities, we investigated the spontaneous facial behavior of 3-year-old children in order to explore associations between context and facial activity and verify the degree of matching between the well-known adult prototypes and facial configurations actually produced by children. When taken individually, most facial actions matched those that comprise the respective emotion prototypical face, but full facial configurations with all characteristic facial actions were scarce but for joy.

scholarly journals Facial Affect Recognition by Patients with Schizophrenia Using Human Avatars

2021 ◽  
Vol 10 (9) ◽  
pp. 1904
Author(s):  
Nora I. Muros ◽  
Arturo S. García ◽  
Cristina Forner ◽  
Pablo López-Arcas ◽  
Guillermo Lahera ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Recognition Rate ◽  
Facial Affect ◽  
Affect Recognition ◽  
Control Group ◽  
Facial Affect Recognition ◽  
Healthy Controls ◽  
Virtual Humans ◽  
Training Interventions ◽  
Recognition Of Emotions

People with schizophrenia have difficulty recognizing the emotions in the facial expressions of others, which affects their social interaction and functioning in the community. Static stimuli such as photographs have been used traditionally to examine deficiencies in the recognition of emotions in patients with schizophrenia, which has been criticized by some authors for lacking the dynamism that real facial stimuli have. With the aim of overcoming these drawbacks, in recent years, the creation and validation of virtual humans has been developed. This work presents the results of a study that evaluated facial recognition of emotions through a new set of dynamic virtual humans previously designed by the research team, in patients diagnosed of schizophrenia. The study included 56 stable patients, compared with 56 healthy controls. Our results showed that patients with schizophrenia present a deficit in facial affect recognition, compared to healthy controls (average hit rate 71.6% for patients vs 90.0% for controls). Facial expressions with greater dynamism (compared to less dynamic ones), as well as those presented from frontal view (compared to profile view) were better recognized in both groups. Regarding clinical and sociodemographic variables, the number of hospitalizations throughout life did not correlate with recognition rates. There was also no correlation between functioning or quality of life and recognition. A trend showed a reduction in the emotional recognition rate as a result of increases in Positive and Negative Syndrome Scale (PANSS), being statistically significant for negative PANSS. Patients presented a learning effect during the progression of the task, slightly greater in comparison to the control group. This finding is relevant when designing training interventions for people with schizophrenia. Maintaining the attention of patients and getting them to improve in the proposed tasks is a challenge for today’s psychiatry.

scholarly journals Multimodal Recognition of Emotions in Music and Facial Expressions

2020 ◽  
Vol 14 ◽  
Author(s):  
Alice Mado Proverbio ◽  
Elisa Camporeale ◽  
Alessandra Brusa
Keyword(s):  
Facial Expressions ◽  
Recognition Of Emotions ◽  
Emotions In Music
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