An online noise filter for eye-tracker data recorded in a virtual environment

Authors:
Sylvain Chartier;Patrice Renaud
Affiliations:
University of Ottawa;Université du Québec en Outaouais, Hexagram
Venue:
Proceedings of the 2008 symposium on Eye tracking research & applications
Year:
2008

Citing 6
Cited 0

Detail-preserving median based filters in image processing

Pattern Recognition Letters
Medical applications of virtual reality

Selected papers of the second NASA/USUHS international conference on Telemedicine for remote health care and disaster response (part 3)
Eye-tracker data filtering using pulse coupled neural network

MS'06 Proceedings of the 17th IASTED international conference on Modelling and simulation
A new efficient approach for the removal of impulse noise from highly corrupted images

IEEE Transactions on Image Processing
Tri-state median filter for image denoising

IEEE Transactions on Image Processing
A universal noise removal algorithm with an impulse detector

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

A Recursive Online Weight Average filter (ROWA) is proposed to remove and replace noisy data obtained from eye tracker. Since the filter can be implemented online, it can detect and replace noisy data using solely past records. Simulations results indicate that the filter achieved the same performance compared to other standard offline filters while being simpler.