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 |
| Appears in Collections |
| OER - Công nghệ thông tin |
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