On identification of saccades from sinusoidal eye movement signals.
Sinusoidal eye movements and potential saccadic eye movements are examined using the syntactic pattern recognition method presented previously. A few computer tests are presented for the verification of potential saccades from signals of sinusoidal eye movements. The technique was developed and tested with electro-oculographic signals. The verification of saccades consists of three tests: the estimation of average noise peaks in an eye movement signal; an angular velocity threshold; and the comparison between a sinusoidal eye movement signal and the corresponding stimulus signal. The technique is also efficient for noisy signals of eye movements, which were stimulated by both predictive and non-predictive sinusoidal stimulus movements.
Juhola
M
M
Department of Computer Science, University of Turku, Finland.
Pyykkö
I
I
D002138:Calibration; D004585:Electrooculography / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated; D011698:Pursuit, Smooth / Q000502:physiology*; D012438:Saccades / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D012985:Software Design