Eye Position Estimation During Sleep Using Infrared Video in Functional MRI | Zendy

Syoji Kobashi | Zendy; Yuji Yahata | Zendy; Shigeyuki Kan | Zendy; Masaya Misaki | Zendy; Takahiko Koike | Zendy; Katsuya Kondo | Zendy; Satoru Miyauchi | Zendy; Yutaka Hata | Zendy

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Eye Position Estimation During Sleep Using Infrared Video in Functional MRI

Author(s) -

Syoji Kobashi,

Yuji Yahata,

Shigeyuki Kan,

Masaya Misaki,

Takahiko Koike,

Katsuya Kondo,

Satoru Miyauchi,

Yutaka Hata

Publication year - 2008

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2008.p0032

Subject(s) - artificial intelligence , computer vision , computer science , position (finance) , eye tracking , pixel , eye movement , eye tracking on the iss , pupil , functional magnetic resonance imaging , artificial neural network , tracking (education) , intensity (physics) , sleep (system call) , mean squared error , optics , medicine , mathematics , physics , psychology , pedagogy , statistics , finance , economics , operating system , radiology

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.

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