Neural Network based Eye Position Estimation from Infrared Video during Sleeping

• Yahata Yuji

  University of Hyogo

• Kobashi Syoji

  University of Hyogo

• Kan Sigeyuki

  "CREST, National Institute of Information and Communications Technology"

• Misaki Masaya

  "CREST, National Institute of Information and Communications Technology"

• Kondo Katsuya

  University of Hyogo

• Miyauchi Satoru

  "CREST, National Institute of Information and Communications Technology"

• Hata Yutaka

  University of Hyogo

Abstract

To analyze relationship between brain function and eye movement during sleeping, a simultaneous measurement system using functional magnetic resonance imaging (fMRI) and infrared video oculography has developed. However, it takes a lot of time, and requires considerable efforts to manually detect eye movements from the infrared video. In this paper, we propose an automated method for estimating eye position using neural network. The effectiveness of the proposed method is demonstrated by applying our method to a subject who is sleeping with REMs (rapid eye movements).

Journal

• SCIS & ISIS

  SCIS & ISIS 2006 (0), 2011-2016, 2006

  Japan Society for Fuzzy Theory and Intelligent Informatics

Keywords

• Eye position estimation
• Sleep
• Neural network

Details

• CRID: 1390282680567058560
• NII Article ID: 130004672477
• DOI: 10.14864/softscis.2006.0.2011.0
• Text Lang: en
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed