Paper Title:
Grey Forecasting Model for Patching Blinking in Video-Oculography
  Abstract

Video-oculography (VOG) is a non-invasive method used for the eye tracking detecting. A most important work of VOG is to accurately estimate the pupil center. However, VOG cannot acquire eye movement when the eye blinks. A Grey forecasting model was proposed to predict the pupil center for the blinking frame of VOG video. The Grey forecasting model used GM(1,1) model to carry on the modeling. Then an experiment is provided. The experiment results show that the predicted data of the Grey forecasting meet the characteristics of the patients with nystagmus. The Grey forecasting model is a viable means of accurately predict the pupil center for blinking in VOG.

  Info
Periodical
Chapter
Chapter 7: Computer Application in Design and Manufacturing (1)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
3955-3959
DOI
10.4028/www.scientific.net/AMM.121-126.3955
Citation
X. J. Chen, Y. M. Yang, W. He, J. G. Wang, Y. X. Mao, "Grey Forecasting Model for Patching Blinking in Video-Oculography", Applied Mechanics and Materials, Vols. 121-126, pp. 3955-3959, 2012
Online since
October 2011
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$32.00
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