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Removing Blinks in Video-Oculography

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Abstract:

Video-oculography (VOG) is a non-invasive detection method used for eye movement. However, during testing, if object blinks, VOG would be difficult to acquire eye movement. A removing blink method based on Kalman Filter was presented. A cubic spline was employed to patch the removed data. Then simulation and experiment were done. The experimental results show that the method well predicts the next state. Compared to a threshold level, it eliminates blink artifact and patches the removed data. The method is a viable means of predicting pupil center for blink in VOG.

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Periodical:

Applied Mechanics and Materials (Volumes 239-240)

Pages:

1165-1168

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.1165

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Cite this paper

Online since:

December 2012

Authors:

Xue Jun Chen, Chen Hua Zhang

Keywords:

Blink, Kalman Filter (KF), Nystagmus, Prediction, VOG

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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