Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dilek Betül ARSLAN"'
Eye tracking metrics provide information about cognitive function and basic oculomotor characteristics. There have been many studies analyzing eye tracking signals using different algorithms. However, these algorithms generally are based on the initi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::086fa9e83c62fdc0ab0cc8d3b5273eac
https://hdl.handle.net/11424/287543
https://hdl.handle.net/11424/287543
Autor:
Sena Azamat, Dilek Betül Arslan, Emel Erdogdu, Ani Kicik, Sevim Cengiz, Kardelen Eryürek, Zeynep Tufekcioğlu, Basar Bilgic, Hasmet Hanagasi, Tamer Demiralp, Hakan Gurvit, Esin Ozturk-Isik
Publikováno v:
European Journal of Radiology. 157:110570
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f768e56e3fc88177ae8968aa13d099c
https://doi.org/10.1016/j.ejrad.2022.110570
https://doi.org/10.1016/j.ejrad.2022.110570
Publikováno v:
Online Academic Journal of Information Technology, Vol 14, Iss 52, Pp 8-21 (2023)
Eye tracking metrics provide information about cognitive function and basic oculomotor characteristics. There have been many studies analyzing eye tracking signals using different algorithms. However, these algorithms generally are based on the initi
Externí odkaz:
https://doaj.org/article/dbd8bb72ed584d589336d7dcf7ab3403
Publikováno v:
Computer Methods and Programs in Biomedicine. 113:705-713
In this study, we have analyzed electroencephalography (EEG) signals to investigate the following issues, (i) which frequencies and EEG channels could be relatively better indicators of preference (like or dislike decisions) of consumer products, (ii
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f786aa7829b1a6b51bfcba9e4928022
https://doi.org/10.1016/j.cmpb.2013.11.010
https://doi.org/10.1016/j.cmpb.2013.11.010