Cargando…
Classification of elderly pain severity from automated video clip facial action unit analysis: A study from a Thai data repository
Data from 255 Thais with chronic pain were collected at Chiang Mai Medical School Hospital. After the patients self-rated their level of pain, a smartphone camera was used to capture faces for 10 s at a one-meter distance. For those unable to self-rate, a video recording was taken immediately after...
Autores principales: | Gomutbutra, Patama, Kittisares, Adisak, Sanguansri, Atigorn, Choosri, Noppon, Sawaddiruk, Passakorn, Fakfum, Puriwat, Lerttrakarnnon, Peerasak, Saralamba, Sompob |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582446/ https://www.ncbi.nlm.nih.gov/pubmed/36277167 http://dx.doi.org/10.3389/frai.2022.942248 |
Ejemplares similares
-
CLIP knows image aesthetics
por: Hentschel, Simon, et al.
Publicado: (2022) -
An artesunate pharmacometric model to explain therapeutic responses in falciparum malaria
por: Saralamba, Sompob, et al.
Publicado: (2023) -
Prevalence and Clinical Characteristics of Probable REM Behavior Disorder in Thai Parkinson's Disease Patients
por: Gomutbutra, Patama, et al.
Publicado: (2018) -
Using Facial Landmark Detection on Thermal Images as a Novel Prognostic Tool for Emergency Departments
por: Baskaran, Ruben, et al.
Publicado: (2022) -
Small facial image dataset augmentation using conditional GANs based on incomplete edge feature input
por: Hung, Shih-Kai, et al.
Publicado: (2021)