Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Silvia Ramis"'
Autor:
Fernando Alonso‐Fernandez, Kevin Hernandez‐Diaz, Silvia Ramis, Francisco J. Perales, Josef Bigun
Publikováno v:
IET Biometrics, Vol 10, Iss 5, Pp 562-580 (2021)
Abstract We address the use of selfie ocular images captured with smartphones to estimate age and gender. Partial face occlusion has become an issue due to the mandatory use of face masks. Also, the use of mobile devices has exploded, with the pandem
Externí odkaz:
https://doaj.org/article/5a67f406c63548fcb76c49a9ced900d6
Autor:
Guarinos, Silvia Ramis, Yee, Cristina Manresa, Rubio, Jose Maria Buades, Gaya-Morey, Francesc Xavier
Facial expression recognition plays an important role in human behaviour, communication, and interaction. Recent neural networks have demonstrated to perform well at its automatic recognition, with different explainability techniques available to mak
Externí odkaz:
http://arxiv.org/abs/2405.11482
Publikováno v:
Sensors, Vol 20, Iss 23, p 6716 (2020)
In this work an affective computing approach is used to study the human-robot interaction using a social robot to validate facial expressions in the wild. Our global goal is to evaluate that a social robot can be used to interact in a convincing mann
Externí odkaz:
https://doaj.org/article/4d457c7be5184f17913c45a952a7e941
Potential uses of automated Facial Expression Recognition (FER) cover a wide range of applications such as customer behavior analysis, healthcare applications or providing personalized services. Data for machine learning play a fundamental role, ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d662d6107e4536f7302e6e3b1a7a5d60
https://reunir.unir.net/handle/123456789/14589
https://reunir.unir.net/handle/123456789/14589
Publikováno v:
Multimedia Tools and Applications. 81:39507-39544
Recognizing facial expressions is a challenging task both for computers and humans. Although recent deep learning-based approaches are achieving high accuracy results in this task, research in this area is mainly focused on improving results using a
Autor:
Cristina Manresa-Yee, Jose Maria Buades Rubio, Antoni Oliver, Gabriel Moyà Alcover, Silvia Ramis, Maria Orell
Publikováno v:
ICERI2022 Proceedings.
Publikováno v:
XXII International Conference on Human Computer Interaction.
Publikováno v:
EDULEARN Proceedings.
Autor:
Liliana Maria Passerino, Silvia Ramis, Sandra Baldassarri, Francisco J. Perales, Inma Riquelme
Publikováno v:
Universal Access in the Information Society. 20:239-254
Technology and videogames have been proven as motivating tools for working attention and complex communication skills, especially in children with autism spectrum disorder (ASD). In this work, we present two experiences that used interactive games fo
Autor:
Silvia Ramis, Cristina Manresa-Yee
Publikováno v:
Interacción
Predictive algorithms have a powerful potential to offer benefits in areas as varied as medicine or education. However, these algorithms and the data they use are built by humans, consequently, they can inherit the bias and prejudices present in huma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d97a6de6926ac1b2a97cfd1fa95b5ba