Automatic vs. Human Recognition of Pain Intensity from Facial Expression on the X-ITE Pain Database

Prior work on automated methods demonstrated that it is possible to recognize pain intensity from frontal faces in videos, while there is an assumption that humans are very adept at this task compared to machines. In this paper, we investigate whether such an assumption is correct by comparing the r...

Descripción completa

Detalles Bibliográficos
Autores principales: Othman, Ehsan, Werner, Philipp, Saxen, Frerk, Al-Hamadi, Ayoub, Gruss, Sascha, Walter, Steffen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125973/
https://www.ncbi.nlm.nih.gov/pubmed/34068462
http://dx.doi.org/10.3390/s21093273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125973/
https://www.ncbi.nlm.nih.gov/pubmed/34068462
http://dx.doi.org/10.3390/s21093273

Ejemplares similares