Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Masoumeh Tashakori"'
Autor:
Timothy Howarth, Masoumeh Tashakori, Tuomas Karhu, Matias Rusanen, Henna Pitkänen, Arie Oksenberg, Sami Nikkonen
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
BackgroundExcessive daytime sleepiness (EDS) is a cause of low quality of life among obstructive sleep apnoea (OSA) patients. Current methods of assessing and predicting EDS are limited due to time constraints or differences in subjective experience
Externí odkaz:
https://doaj.org/article/cad1718f10834240a0486f5778fee328
Autor:
Masoumeh Tashakori, Ali Nahvi, Azadeh Shahiidian, Serajeddin Ebrahimian Hadi Kiashari, Hamidreza Bakhoda
Publikováno v:
Journal of Sleep Sciences, Vol 3, Iss 3-4 (2019)
Background and Objective: Driver drowsiness is a major cause of fatal driving accidents worldwide, which can be prevented by an early detection. Driver drowsiness results in reduction of blood flow and change in facial thermal patterns. In this paper
Externí odkaz:
https://doaj.org/article/d597fcdd32ef47a6bdb541679a66f09c
Autor:
Howarth, Timothy, Masoumeh Tashakori, Karhu, Tuomas, Rusanen, Matias, Pitkänen, Henna, Oksenberg, Arie, Nikkonen, Sami
Publikováno v:
Frontiers in Neurology; 2024, p01-09, 9p
Evaluation of driver drowsiness using respiration analysis by thermal imaging on a driving simulator
Autor:
Amirhossein Homayounfard, Masoumeh Tashakori, Serajeddin Ebrahimian Hadi Kiashari, Hamidreza Bakhoda, Ali Nahvi
Publikováno v:
Multimedia Tools and Applications. 79:17793-17815
In this paper, a new non-intrusive driver drowsiness detection method is introduced based on respiration analysis using facial thermal imaging. Drowsiness is the cause of many driving accidents all over the world. Drivers’ respiration system underg
Autor:
Serajeddin Ebrahimian, Ali Nahvi, Masoumeh Tashakori, Hamed Salmanzadeh, Omid Mohseni, Timo Leppänen
Publikováno v:
Int J Environ Res Public Health
International Journal of Environmental Research and Public Health; Volume 19; Issue 17; Pages: 10736
International Journal of Environmental Research and Public Health; Volume 19; Issue 17; Pages: 10736
The high number of fatal crashes caused by driver drowsiness highlights the need for developing reliable drowsiness detection methods. An ideal driver drowsiness detection system should estimate multiple levels of drowsiness accurately without interv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fab5c9251ee049ec0af49a2073eafff7
http://tuprints.ulb.tu-darmstadt.de/22328/
http://tuprints.ulb.tu-darmstadt.de/22328/
Publikováno v:
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine. 236(1)
Driver drowsiness causes fatal driving accidents. Thermal imaging is a suitable drowsiness detection method as it is non-invasive and robust against changes in the ambient light. In this paper, driver drowsiness is detected by measuring the forehead