Design and Implementation of Steady State Visual Evoked Potential Based Brain Computer Interface Video Game [2-s2.0-85100306460]
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Brain Computer Interface (BCI) is a system that enables device control by processing EEG signals acquired from scalp. This system can be used as a communication channel for severely disabled patients as well as other applications for healthy people. In this study, a BCI game was implemented based on classifying steady state visual evoked potentials (SSVEP) that occur in occipital lobe when a subject is exposed to a visual stimulus flickering at a certain frequency using canonical correlation analysis (CCA). In the experiment, the subjects were expected to move a square to specific locations using four visual stimuli with different frequencies. This task could be completed at 1.4 seconds in the best case scenario. The subjects completed this task at 1.4 seconds in the best run, 36.22 seconds in the worst run, and 8.57 seconds in average. The ratio of moves towards target to all moves were calculated as 66.72%. © 2020 IEEE.
Açıklama
28th Signal Processing and Communications Applications Conference, SIU 2020 -- 5 October 2020 through 7 October 2020 -- -- 166413
Anahtar Kelimeler
Brain Computer İnterface, Steady State Visual Evoked Potential, Eeg, Canonical Correlation Analysis., Computer Control Systems, Computer Games, Electrophysiology, Interface States, Signal Processing, Canonical Correlation Analysis, Design And İmplementations, Device Control, Different Frequency, Healthy People, Specific Location, Steady State Visual Evoked Potentials, Visual Stimulus, Brain Computer İnterface
Kaynak
2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
