Bridging the Gap Between Automated and Human Facial Emotion Perception
Abstract
Understanding the complex relationship between emotions and facial expressions is important for both psychologists and computer scientists. A large body of research in psychology investigates facial expressions, emotions, and how emotions are perceived from facial expressions. As computer scientists look to incorporate this research into automatic emotion perception systems, it is important to understand the nature and limitations of human emotion perception. These principles of emotion science affect the way datasets are created, methods are implemented, and results are interpreted in automated emotion perception. This paper aims to distill and align prior work in automated and human facial emotion perception to facilitate future discussions and research at the intersection of the two disciplines.
Cite
Text
Stratton and Hand. "Bridging the Gap Between Automated and Human Facial Emotion Perception." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022. doi:10.1109/CVPRW56347.2022.00268Markdown
[Stratton and Hand. "Bridging the Gap Between Automated and Human Facial Emotion Perception." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022.](https://mlanthology.org/cvprw/2022/stratton2022cvprw-bridging/) doi:10.1109/CVPRW56347.2022.00268BibTeX
@inproceedings{stratton2022cvprw-bridging,
title = {{Bridging the Gap Between Automated and Human Facial Emotion Perception}},
author = {Stratton, Derek and Hand, Emily M.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2022},
pages = {2400-2410},
doi = {10.1109/CVPRW56347.2022.00268},
url = {https://mlanthology.org/cvprw/2022/stratton2022cvprw-bridging/}
}