In this study, we present an automated method for segmenting IN waveforms with the purpose of determining the foveation positions to be used for calibration of an eye tracker. Without an accurate calibration, the exact parameters of the waveform cannot be determined. Identifying portions of the nystagmus waveform suitable for calibration typically involves time-consuming manual selection of the foveation periods from the eye trace. In recent years, the technology for measuring eye movements has improved considerably, but there remains the challenge of calibrating the direction of gaze in tracking systems when the eyes are continuously moving. This so-called “foveation” period has long been considered the basis for the best vision in individuals with IN. A characteristic feature of each cycle of the IN eye movement waveform is a period in which the eyes are moving at minimal velocity. Infantile nystagmus (IN) describes a regular, repetitive movement of the eyes.
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