Presentation 2007-01-25
Estimation of Visual Axes during Eye Closure based on Estimating Intensity Profiles by Neural Network from MR Eye Images and Infrared Video Images
Yuji YAHATA, Syoji KOBASHI, Sigeyuki KAN, Masaya MISAKI, Katsuya KONDO, Satoru MIYAUCHI, Yutaka HATA,
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Abstract(in English) Eye movement is one of important index for sleep study. However, it is difficult to measure eye movement and brain function with functional magnetic resonance imaging simultaneously, for investigating the relationship between eye movement and brain function during sleep. We previously proposed a method to measure eye movement from video images that taken during sleeping. This method was based on estimating intensity profile by artificial neural network (ANN). However, this method requires manual detection of eye position from several infrared video images to train ANN. In this paper, we propose a method for estimating visual axes during eye closure. First, we define the visual axes from MR images to train ANN. Next, we estimate visual axes from given infrared video images by estimating intensity profile using the trained ANN. To demonstrate the performance of training the ANN method was applied to a subject. The experimental results showed that the proposed method can detect visual axes from given images with high accuracy.
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Keyword(in English) MRI / Infrared video / Visual Axes / Rapid eye movements / Sleep
Paper # NC2006-91
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Committee NC
Conference Date 2007/1/18(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of Visual Axes during Eye Closure based on Estimating Intensity Profiles by Neural Network from MR Eye Images and Infrared Video Images
Sub Title (in English)
Keyword(1) MRI
Keyword(2) Infrared video
Keyword(3) Visual Axes
Keyword(4) Rapid eye movements
Keyword(5) Sleep
1st Author's Name Yuji YAHATA
1st Author's Affiliation Graduate School of Engineering, University of Hyogo()
2nd Author's Name Syoji KOBASHI
2nd Author's Affiliation Graduate School of Engineering, University of Hyogo
3rd Author's Name Sigeyuki KAN
3rd Author's Affiliation CREST-Brain Function Imaging Team, Kobe Advanced ICT Research Center, National Institute of Information and Communications Technology
4th Author's Name Masaya MISAKI
4th Author's Affiliation CREST-Brain Function Imaging Team, Kobe Advanced ICT Research Center, National Institute of Information and Communications Technology
5th Author's Name Katsuya KONDO
5th Author's Affiliation Graduate School of Engineering, University of Hyogo
6th Author's Name Satoru MIYAUCHI
6th Author's Affiliation CREST-Brain Function Imaging Team, Kobe Advanced ICT Research Center, National Institute of Information and Communications Technology
7th Author's Name Yutaka HATA
7th Author's Affiliation Graduate School of Engineering, University of Hyogo
Date 2007-01-25
Paper # NC2006-91
Volume (vol) vol.106
Number (no) 500
Page pp.pp.-
#Pages 6
Date of Issue