Observer-generated maps of diagnostic facial features enable categorization and prediction of emotion expressions
According to one prominent model, facial expressions of emotion can be categorized into depicting happiness, disgust, anger, sadness, fear and surprise. One open question is which facial features observers use to recognize the different expressions and whether the features indicated by observers can...
Saved in:
| Main Authors: | Martin Wegrzyn, Laura Münst, Jessica König, Maximilian Dinter, Johanna Kissler |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-11-01
|
| Series: | Acta Psychologica |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0001691824004475 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Emotion Recognition by Facial Expression and Voice: Review and Analysis
by: Yixen Lim, et al.
Published: (2022-09-01) -
Change and Detection of Emotions Expressed on People’s Faces in Photos
by: Zbigniew Piotrowski, et al.
Published: (2024-11-01) -
Multimodal Emotion Recognition: Emotion Classification Through the Integration of EEG and Facial Expressions
by: Songul Erdem Guler, et al.
Published: (2025-01-01) -
Face and Facial Expressions Recognition System for Blind People Using ResNet50 Architecture and CNN
by: Jia-Rou Lee, et al.
Published: (2023-09-01) -
Gender differences in the recognition of emotional faces: are men less efficient?
by: Ana Ruiz-Ibáñez, et al.
Published: (2017-06-01)