Item Infomation


Title: 
Automatic facial emotion recognition at the COVID-19 pandemic time
Authors: 
Giovanna, Castellano
Nicola, Macchiarulo
Berardina De, Carolis
Issue Date: 
2023
Publisher: 
Springer
Abstract: 
People use various nonverbal communicative channels to convey emotions, among which facial expressions are considered the most important ones. Thus, automatic Facial Expression Recognition (FER) is a fundamental task to increase the perceptive skills of computers, especially in human-computer interaction. Like humans, state-of-art FER systems are able to recognize emotions from the entire face of a person.
Description: 
CC BY
URI: 
https://link.springer.com/article/10.1007/s11042-022-14050-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7343
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