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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | MRI / Infrared video / Visual Axes / Rapid eye movements / Sleep |
Paper # | NC2006-91 |
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Committee | NC |
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Conference Date | 2007/1/18(1days) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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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 |