Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Yilmaz Kemal Yuce"'
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
IntroductionBrain-computer interfaces (BCIs) are systems that acquire the brain's electrical activity and provide control of external devices. Since electroencephalography (EEG) is the simplest non-invasive method to capture the brain's electrical ac
Externí odkaz:
https://doaj.org/article/666b94091c0547ebb517d814e9365b4f
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
In recent studies, in the field of Brain-Computer Interface (BCI), researchers have focused on Motor Imagery tasks. Motor Imagery-based electroencephalogram (EEG) signals provide the interaction and communication between the paralyzed patients and th
Externí odkaz:
https://doaj.org/article/2483038cc3ba425d8d78dd3821d7466b
Publikováno v:
Journal of Intelligent Systems with Applications. :74-78
Motor Imaginary (MI) electroencephalography (EEG) signals are generated with the recording of brain activities when a participant imagines a movement without physically performing it. The correct decoding of MI signals have been became an important t
Publikováno v:
Journal of Intelligent Systems with Applications. :49-54
Motor Imaginary (MI) electroencephalography (EEG) signals are obtained when a subject imagines a task without essentially applying it. The accurate decoding of MI EEG signals plays an important role in the design of brain-computer interface (BCI) sys
Publikováno v:
Journal of Intelligent Systems with Applications. :68-73
Brain-computer interface (BCI) system based on steady-state visual evoked potentials (SSVEP) have been acceleratingly used in different application areas from entertainment to rehabilitation, like clinical neuroscience, cognitive, and use of engineer
Publikováno v:
Volume: 36, Issue: 2 593-606
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
Elektroensefalografi (EEG) beyin aktivitelerinin ölçümünü sağlayan ve girişimsel olmayan bir yöntemdir. Elektrofizyolojik kaynağına göre yedi farklı EEG kayıt türü mevcuttur. Bunlar arasında görsel uyaranlar eşliğinde alınan EEG d
Publikováno v:
Journal of Computational Science. 68:102000
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Publikováno v:
Journal of Intelligent Systems with Applications. :148-156
In this study, Snapchat; a mobile instant messaging and social media platform, which has demonstrated a significant growth recently; was investigated for usability in terms of user satisfaction.
Steady-state visual evoked potentials (SSVEPs) have been designated to be appropriate and are in use in many areas such as clinical neuroscience, cognitive science, and engineering. SSVEPs have become popular recently, due to their advantages includi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f50a0dd7f351d5d87763cde2fce68df1
http://www.intechopen.com/articles/show/title/evaluating-steady-state-visually-evoked-potentials-based-brain-computer-interface-system-using-wavel
http://www.intechopen.com/articles/show/title/evaluating-steady-state-visually-evoked-potentials-based-brain-computer-interface-system-using-wavel