Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Josue S. Armenta"'
Autor:
Jose M. Ramirez, Marcela D. Rodriguez, Angel G. Andrade, Luis A. Castro, Jessica Beltran, Josue S. Armenta
Publikováno v:
IEEE Access, Vol 7, Pp 185422-185432 (2019)
Driver distraction is one of the major causes of accidents. Most methods for inferring distracted driving behaviors are vision-based systems that determine the head's orientation. One of the significant challenges of this approach is to develop robus
Externí odkaz:
https://doaj.org/article/77aa032eb429488d8fbd9e99141babea
Autor:
Ernesto M. Vera, Josue S. Armenta, Leslie P. Hernandez-Vidal, Marcela D. Rodriguez, Hussein Lopez-Nava, Sarid Garcia-Perez
Publikováno v:
2022 IEEE Mexican International Conference on Computer Science (ENC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89061b8499d219a9a70cdb264183d25b
https://doi.org/10.1109/enc56672.2022.9882935
https://doi.org/10.1109/enc56672.2022.9882935
Publikováno v:
IEEE Sensors Journal. 21:12295-12305
Understanding how changes in visual and attentional behaviors impact driving as we age is still a subject studied by the research community. However, little attention has been paid to using sensing and AI techniques to conduct such studies. We presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::550c7298b4d9f54781d41bf453cdf879
https://doi.org/10.1109/jsen.2021.3064080
https://doi.org/10.1109/jsen.2021.3064080
Autor:
Jessica Beltrán, Josue S. Armenta, José M. Ramírez, Ángel G. Andrade, Luis A. Castro, Marcela D. Rodríguez
Publikováno v:
IEEE Access. 7:185422-185432
Driver distraction is one of the major causes of accidents. Most methods for inferring distracted driving behaviors are vision-based systems that determine the head’s orientation. One of the significant challenges of this approach is to develop rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dd02cd0ab0fd08cbfb2789ac1cdf7c1
https://doi.org/10.1109/access.2019.2960567
https://doi.org/10.1109/access.2019.2960567
Publikováno v:
Proceedings, Vol 31, Iss 1, p 34 (2019)
UCAmI
UCAmI
Most studies on driving behaviors use video-cameras and simulators. It involves human observers to code the video data to be later analyzed, which can be a demanding task. We propose a sensing architecture to conduct studies on driving behaviors unde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d69e4fd468b745cbf0570cc153824327
https://www.mdpi.com/2504-3900/31/1/34
https://www.mdpi.com/2504-3900/31/1/34
Autor:
José Bravo, Gabriel Urzáiz
This book serves as a comprehensive compilation of groundbreaking research endeavors within the realms of ambient intelligence and ubiquitous computing. These initiatives are pivotal in enabling both researchers and practitioners to discern recent br
This book reports a set of novel research initiatives on ambient intelligence and ubiquitous computing that help researchers and practitioners identify recent advances, as well as the frontiers in these study domains. During the last two decades, bot