Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yewei Ouyang"'
Publikováno v:
Sensors, Vol 23, Iss 23, p 9522 (2023)
Despite longstanding traditional construction health and safety management (CHSM) methods, the construction industry continues to face persistent challenges in this field. Neuroscience tools offer potential advantages in addressing these safety and h
Externí odkaz:
https://doaj.org/article/df365d2ef83a4f34b934f77f0f1fc4cd
Publikováno v:
Sensors, Vol 23, Iss 17, p 7405 (2023)
Physical fatigue is frequent for heavy manual laborers like construction workers, but it causes distraction and may lead to safety incidents. The purpose of this study is to develop predictive models for monitoring construction workers’ inattention
Externí odkaz:
https://doaj.org/article/ef114c11c81942028909f680b3445829
Autor:
Yewei OUYANG, Xiaowei Luo
Publikováno v:
Advanced Engineering Informatics. 52:101602
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69b8003267378c27ef0cf81871d7ee41
https://doi.org/10.1016/j.aei.2022.101602
https://doi.org/10.1016/j.aei.2022.101602
Publikováno v:
Automation in Construction. 130:103825
Construction cameras have been used to support autonomous job site monitoring in recent years. However, it remains challenging to find the optimal camera placement configuration in a dynamic job site environment. To address this problem, this paper p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffface1f504528dc116c2d64964a0e11
https://doi.org/10.1016/j.autcon.2021.103825
https://doi.org/10.1016/j.autcon.2021.103825
Autor:
Yewei Ouyang, Kairong Shi
Publikováno v:
ICCREM 2016.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c60d47e194c6c1038e820ab7794d0495
https://doi.org/10.1061/9780784480274.008
https://doi.org/10.1061/9780784480274.008