Cargando…
Exploring facial expressions and action unit domains for Parkinson detection
BACKGROUND AND OBJECTIVE: Patients suffering from Parkinson’s disease (PD) present a reduction in facial movements called hypomimia. In this work, we propose to use machine learning facial expression analysis from face images based on action unit domains to improve PD detection. We propose different...
Autores principales: | Gomez, Luis F., Morales, Aythami, Fierrez, Julian, Orozco-Arroyave, Juan Rafael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9894465/ https://www.ncbi.nlm.nih.gov/pubmed/36730168 http://dx.doi.org/10.1371/journal.pone.0281248 |
Ejemplares similares
-
SELM: Siamese extreme learning machine with application to face biometrics
por: Kudisthalert, Wasu, et al.
Publicado: (2022) -
Pattern recognition and image analysis: 9th Iberian conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, proceedings, part II
por: Morales, Aythami, et al.
Publicado: (2019) -
Pattern recognition and image analysis: 9th Iberian conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, proceedings, part I
por: Morales, Aythami, et al.
Publicado: (2019) -
Benchmarking desktop and mobile handwriting across COTS devices: The e-BioSign biometric database
por: Tolosana, Ruben, et al.
Publicado: (2017) -
Detecting Parkinson’s disease and its cognitive phenotypes via automated semantic analyses of action stories
por: García, Adolfo M., et al.
Publicado: (2022)