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...

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Detalles Bibliográficos
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:
Artificial Intelligence
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

Internet

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

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