Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Arturo S. García"'
Autor:
Luz M. González-Gualda, Miguel A. Vicente-Querol, Arturo S. García, José P. Molina, José M. Latorre, Patricia Fernández-Sotos, Antonio Fernández-Caballero
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract A person with impaired emotion recognition is not able to correctly identify facial expressions represented by other individuals. The aim of the present study is to assess eyes gaze and facial emotion recognition in a healthy population usin
Externí odkaz:
https://doaj.org/article/32303c82a1074d34bac35e7f7f2625f3
Autor:
Daniel Vera-Yanez, António Pereira, Nuno Rodrigues, José Pascual Molina, Arturo S. García, Antonio Fernández-Caballero
Publikováno v:
Sensors, Vol 24, Iss 10, p 3016 (2024)
The sky may seem big enough for two flying vehicles to collide, but the facts show that mid-air collisions still occur occasionally and are a significant concern. Pilots learn manual tactics to avoid collisions, such as see-and-avoid, but these rules
Externí odkaz:
https://doaj.org/article/c501671d82d2445c97be9d7aa106bd39
Autor:
Marta Monferrer, Arturo S. García, Jorge J. Ricarte, María J. Montes, Antonio Fernández-Caballero, Patricia Fernández-Sotos
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract The negative, mood-congruent cognitive bias described in depression, as well as excessive rumination, have been found to interfere with emotional processing. This study focuses on the assessment of facial recognition of emotions in patients
Externí odkaz:
https://doaj.org/article/60c9e71e1bb1420ba60e6acfc438f566
Autor:
Daniel Vera-Yanez, António Pereira, Nuno Rodrigues, José Pascual Molina, Arturo S. García, Antonio Fernández-Caballero
Publikováno v:
Journal of Imaging, Vol 9, Iss 10, p 194 (2023)
This paper presents a systematic review of articles on computer-vision-based flying obstacle detection with a focus on midair collision avoidance. Publications from the beginning until 2022 were searched in Scopus, IEEE, ACM, MDPI, and Web of Science
Externí odkaz:
https://doaj.org/article/0b0fddf522fa4408b5f5eabbcb4e604a
Autor:
Arturo S. García, Patricia Fernández-Sotos, Pascual González, Elena Navarro, Roberto Rodriguez-Jimenez, Antonio Fernández-Caballero
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
This paper explores the key factors influencing mental health professionals' behavioral intention to adopt virtual humans as a means of affect recognition training. Therapies targeting social cognition deficits are in high demand given that these def
Externí odkaz:
https://doaj.org/article/89191994fca14dd7a6980003197b81a0
Autor:
Marta Monferrer, Arturo S. García, Jorge J. Ricarte, María J. Montes, Patricia Fernández-Sotos, Antonio Fernández-Caballero
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1609 (2023)
This research assesses facial emotion recognition in depressed patients using a novel dynamic virtual face (DVF) collection. The participant sample comprised 54 stable depressed patients against 54 healthy controls. The experiment entailed a non-imme
Externí odkaz:
https://doaj.org/article/3c65dc1707ca4161b7db46fe370d7dd1
Autor:
Juan del Aguila, Luz M. González-Gualda, María Angeles Játiva, Patricia Fernández-Sotos, Antonio Fernández-Caballero, Arturo S. García
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Purpose: The purpose of this study was to determine the optimal interpersonal distance (IPD) between humans and affective avatars in facial affect recognition in immersive virtual reality (IVR). The ideal IPD is the one in which the humans show the h
Externí odkaz:
https://doaj.org/article/430e75b60aff4592b2ac571470866427
Autor:
Nora I. Muros, Arturo S. García, Cristina Forner, Pablo López-Arcas, Guillermo Lahera, Roberto Rodriguez-Jimenez, Karen N. Nieto, José Miguel Latorre, Antonio Fernández-Caballero, Patricia Fernández-Sotos
Publikováno v:
Journal of Clinical Medicine, Vol 10, Iss 9, p 1904 (2021)
People with schizophrenia have difficulty recognizing the emotions in the facial expressions of others, which affects their social interaction and functioning in the community. Static stimuli such as photographs have been used traditionally to examin
Externí odkaz:
https://doaj.org/article/544606beca844aa78cb940a3f4cd1c3f
Autor:
Lidia M. Belmonte, Arturo S. García, Rafael Morales, Jose Luis de la Vara, Francisco López de la Rosa, Antonio Fernández-Caballero
Publikováno v:
Sensors, Vol 21, Iss 3, p 908 (2021)
Unmanned aerial vehicles (UAVs) represent a new model of social robots for home care of dependent persons. In this regard, this article introduces a study on people’s feeling of safety and comfort while watching the monitoring trajectory of a quadr
Externí odkaz:
https://doaj.org/article/941bcddcd97149a7ab25f8e12ac5bbb3
Autor:
Roberto Sánchez-Reolid, Arturo S. García, Miguel A. Vicente-Querol, Beatriz García-Martinez, Antonio Fernández-Caballero
Publikováno v:
Proceedings, Vol 31, Iss 1, p 30 (2019)
The increase in the number of devices equipped with physiological sensors and their low price mean that they can be used in many fields. One of these fields is health-care and home-care for the elderly or people with disabilities. The development of
Externí odkaz:
https://doaj.org/article/f70bfdb34a314bb592468d11d00e0e4f