An online noise filter for eye-tracker data recorded in a virtual environment
Sylvain Chartier, Patrice Renaud · 2008
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.