Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Fusako Sato"'
Publikováno v:
International Journal of Automotive Engineering, Vol 15, Iss 2, Pp 66-73 (2024)
Various machine learning models have been proposed to predict injuries to vehicle occupants from crash conditions, and optimized and evaluated for model accuracy using binary classification performance metrics. However, performance metrics for injury
Externí odkaz:
https://doaj.org/article/feb295316f1b4042bef516d3e0744c3f
Publikováno v:
International Journal of Automotive Engineering, Vol 13, Iss 4, Pp 163-168 (2022)
ABSTRACT: Collision-type prediction models based on pre-crash information are important because there is a relationship between collision type, avoidance operations, and occupant injuries. Thus, they can be applied to autonomous driving systems (ADS)
Externí odkaz:
https://doaj.org/article/e97a187620b440b7be4e07540bc3b3b9
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Previous research has not produced a satisfactory resource to study reflexive muscle activity for investigating potentially injurious whiplash motions. Various experimental and computational studies are available, but none provided a comprehensive bi
Externí odkaz:
https://doaj.org/article/5d7e0d3ce8124652b57f413338f31e7e
Autor:
Fusako Sato, Yusuke Miyazaki, Shigehiro Morikawa, Antonio Ferreiro Perez, Sylvia Schick, Karin Brolin, Mats Svensson
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
Experimental studies have demonstrated a relationship between spinal injury severity and vertebral kinematics, influenced by the initial spinal alignment of automotive occupants. Spinal alignment has been considered one of the possible causes of gend
Externí odkaz:
https://doaj.org/article/2a996f17cf9c4789ab582b25964c5af8
Autor:
Fusako Sato, Mamiko Odani, Yui Endo, Mitsunori Tada, Yusuke Miyazaki, Taichi Nakajima, Koshiro Ono, Shigehiro Morikawa, Mats Svensson
Publikováno v:
International Journal of Automotive Engineering, Vol 7, Iss 1, Pp 29-35 (2016)
The purpose of this study is to provide the alignment of whole spine in an automotive seated posture by analyzing image data acquired with an upright open MRI system. Five female and three male asymptomatic subjects were scanned in seated and supine
Externí odkaz:
https://doaj.org/article/1751305a481c42faad2e24a7a4448df3
Autor:
Antona-Makoshi Jacobo, Yoshihiro Yamamoto, Ryosuke Kato, Fusako Sato, Susumu Ejima, Yasuhiro Dokko, Tsuyoshi Yasuki
Publikováno v:
International Journal of Automotive Engineering, Vol 6, Iss 3, Pp 83-90 (2015)
An anatomically detailed age-specific finite element model of the thoracic region of an average size Japanese elderly male was developed. The model was validated against original series of experimental data both at component and at assembled-structur
Externí odkaz:
https://doaj.org/article/a78e8b9de2f34317b69b3de391546b17
Publikováno v:
Transactions of the Society of Automotive Engineers of Japan; Mar2024, Vol. 55 Issue 2, p354-360, 7p
Publikováno v:
Traffic Injury Prevention. 23:S181-S182
Autor:
Taotao Wu, Fusako Sato, Jacobo Antona-Makoshi, Lee F. Gabler, J. Sebastian Giudice, Ahmed Alshareef, Masayuki Yaguchi, Mitsutoshi Masuda, Susan S. Margulies, Matthew B. Panzer
Publikováno v:
Journal of Biomechanical Engineering. 144
Traumatic brain injury (TBI) contributes to a significant portion of the injuries resulting from motor vehicle crashes, falls, and sports collisions. The development of advanced countermeasures to mitigate these injuries requires a complete understan
Autor:
Fusako Sato, I Putu Alit Putra, Robert Thomson, Mats Y. Svensson, Astrid Linder, Johan Iraeus
Publikováno v:
Annals of Biomedical Engineering (0090-6964) vol.49(2021)
Annals of Biomedical Engineering
Annals of Biomedical Engineering
ViVA Open Human Body Model (HBM) is an open-source human body model that was developed to fill the gap of currently available models that lacked the average female size. In this study, the head–neck model of ViVA OpenHBM was further developed by ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b01ae280968499a0ade9ebf70b087ad
https://research.chalmers.se/en/publication/cdc7b7e0-740a-40a0-95e4-94d177380bee
https://research.chalmers.se/en/publication/cdc7b7e0-740a-40a0-95e4-94d177380bee