Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Adisak Kittisares"'
Autor:
Patama Gomutbutra, Adisak Kittisares, Atigorn Sanguansri, Noppon Choosri, Passakorn Sawaddiruk, Puriwat Fakfum, Peerasak Lerttrakarnnon, Sompob Saralamba
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
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-ra
Externí odkaz:
https://doaj.org/article/8e2056f8d59a4970b0f320796b3e2568
Autor:
Patama Gomutbutra, Adisak Kittisares, Atigorn Sanguansri, Noppon Choosri, Passakorn Sawaddirak, Puriwat Fakfum, Peerasak Lettrakarnon, Sompob Soralamb
Background It is increasingly interesting to monitor pain severity in the elder by applying machine learning models. In previous studies, OpenFace© - a well-known automated facial analysis algorithm, was used to detect facial action units (FAUs) tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3314ff7970542e5a07ade597b96248d5
https://doi.org/10.21203/rs.3.rs-1652828/v1
https://doi.org/10.21203/rs.3.rs-1652828/v1
Autor:
Peeraya Munkhetvit, Lakkana Thaikruea, Adisak Kittisares, Jiranan Griffiths, Pairada Varnado, Nahathai Wongpakaran
Publikováno v:
Dementia and Geriatric Cognitive Disorders. 49:194-201
Introduction: Cognitive deterioration in older people with mild neurocognitive disorders (mNCD) increases the risk of progress to major NCD. Health professionals worldwide are trying to find strategies for prevention. There is a limited number of stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44ec001988c6a9e0362b922a05645c36
https://doi.org/10.1159/000507922
https://doi.org/10.1159/000507922
Autor:
Noppon Choosri, Atigorn Sanguansri, Peerasak Lerttrakarnnon, Sompob Saralamba, Puriwat Fakfum, Passakorn Sawaddiruk, Patama Gomutbutra, Adisak Kittisares
Background: It is increasingly interesting to monitor pain severity in elderly individuals by applying machine learning models. In previous studies, OpenFace© - a well-known automated facial analysis algorithm, was used to detect facial action units
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c455c85b663008fe24a8d04bc64af068
https://doi.org/10.21203/rs.3.rs-1010233/v1
https://doi.org/10.21203/rs.3.rs-1010233/v1