Zobrazeno 1 - 10
of 704
pro vyhledávání: '"Action units"'
Autor:
Cascella M, Shariff MN, Lo Bianco G, Monaco F, Gargano F, Simonini A, Ponsiglione AM, Piazza O
Publikováno v:
Journal of Pain Research, Vol Volume 17, Pp 3681-3696 (2024)
Marco Cascella,1 Mohammed Naveed Shariff,2 Giuliano Lo Bianco,3 Federica Monaco,4 Francesca Gargano,5 Alessandro Simonini,6 Alfonso Maria Ponsiglione,7 Ornella Piazza1 1Anesthesia and Pain Medicine, Department of Medicine, Surgery and Dentistry “sc
Externí odkaz:
https://doaj.org/article/e912361869614e8289cee8e8187eb417
Autor:
Mostafa Farghal, Ed Pajor, Stelio P. L. Luna, Daniel Pang, M. Claire Windeyer, Maria Camila Ceballos
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Grimace scales have been used to assess pain in various animal species. This study aimed to develop the calf grimace scale (CGS), evaluate its responsiveness and the effect of external factors (change of environment and dam separation, and r
Externí odkaz:
https://doaj.org/article/6ede9960396e424581922ad0116784ac
Autor:
Guilherme Camargo Oliveira, Quoc Cuong Ngo, Leandro Aparecido Passos, Leonardo Silva Oliveira, Stella Stylianou, João Paulo Papa, Dinesh Kumar
Publikováno v:
Digital Biomarkers, Vol 8, Iss 1, Pp 171-180 (2024)
Introduction: Weakened facial movements are early-stage symptoms of amyotrophic lateral sclerosis (ALS). ALS is generally detected based on changes in facial expressions, but large differences between individuals can lead to subjectivity in the diagn
Externí odkaz:
https://doaj.org/article/28c23ccecf65457ea2d39ee43548c7fa
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Information about the concordance between dynamic emotional experiences and objective signals is practically useful. Previous studies have shown that valence dynamics can be estimated by recording electrical activity from the muscles in the
Externí odkaz:
https://doaj.org/article/1b8a0ff68837480bbab119829e0aea9f
Publikováno v:
IEEE Access, Vol 12, Pp 15268-15279 (2024)
To understand how Convolutional Neural Networks (ConvNets) perceive the muscular movements of the human face, known as Action Units (AUs) in this work, we introduce a new dataset named Dataset on Emotions among Mexicans (DEM), consisting of 1557 imag
Externí odkaz:
https://doaj.org/article/7a2cb656673e40a091875703300c37e6
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 7, p 78 (2024)
Mental health is indispensable for effective daily functioning and stress management. Facial expressions may provide vital clues about the mental state of a person as they are universally consistent across cultures. This study intends to detect the e
Externí odkaz:
https://doaj.org/article/1b8cf3eea338475f8fa6fb3e14373535
Autor:
Amin Rahmati, Foad Ghaderi
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 11, Iss 2, Pp 213-220 (2023)
Every facial expression involves one or more facial action units appearing on the face. Therefore, action unit recognition is commonly used to enhance facial expression detection performance. It is important to identify subtle changes in face when pa
Externí odkaz:
https://doaj.org/article/ef38b26ce0474579907aad78a689a72d
Publikováno v:
Mechanical Engineering Journal, Vol 10, Iss 6, Pp 23-00189-23-00189 (2023)
Human faces are mechanical systems that display emotional and linguistic information with motions of the deformable facial tissues. Since each facial action forms a different stress-strain field that characterizes the differentiated facial appearance
Externí odkaz:
https://doaj.org/article/0bf8e3844bf04c52aa98189c9e10e904
Publikováno v:
IEEE Access, Vol 11, Pp 99178-99188 (2023)
Fatigue detection has many applications, one of them is intelligent transportation for accident prevention. It is challenging to detect driver fatigue adopting photometric stereo and 3D fatigue-related facial action unit identification. During 3D rec
Externí odkaz:
https://doaj.org/article/497d268c8ba0478b9e43c84384bfc02c
Autor:
Yu Ma, Jian Shen, Zeguang Zhao, Huajian Liang, Yang Tan, Zhenyu Liu, Kun Qian, Minqiang Yang, Bin Hu
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 3459-3468 (2023)
Recent evidence have demonstrated that facial expressions could be a valid and important aspect for depression recognition. Although various works have been achieved in automatic depression recognition, it is a challenge to explore the inherent nuanc
Externí odkaz:
https://doaj.org/article/1d6e38cbd18244689ded8311aafb9ea2