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The determination of eye position during sleep attracted much attention in sleep study. Simultaneous measurement consisting of functional magnetic resonance imaging and infrared video was developed to study the relationship between eye movement and brain function during sleep. Conventional measurement of the eye position using infrared video images is not applicable to experiments during sleep because of the lack of tracking targets such as the pupil. This paper proposes a novel method for determining the eye position during sleep through infrared video images. This method determines the eye position by comparing intensity profile extracted from an image to intensity profiles generated by the artificial neural network (ANN). Experiments showed that the proposed method detected the eye position of the left eye with an error of 3.56 ± 3.61 (RMSE ± SD) pixels and that of the right eye with an error of 4.69 ± 4.73 pixels.

Eye Position Estimation During Sleep Using Infrared Video in Functional MRI