Analysis of eye tracking movements using FIR median hybrid filters
ETRA '00 Proceedings of the 2000 symposium on Eye tracking research & applications
Eye Tracking Methodology: Theory and Practice
Eye Tracking Methodology: Theory and Practice
Improving the accuracy of gaze input for interaction
Proceedings of the 2008 symposium on Eye tracking research & applications
Modeling dwell-based eye pointing target acquisition
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Kalman filtering in the design of eye-gaze-guided computer interfaces
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Gaze and voice controlled drawing
Proceedings of the 1st Conference on Novel Gaze-Controlled Applications
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We compared various real-time filters designed to denoise eye movements from low-sampling devices. Most of the filters found in literature were implemented and tested on data gathered in a previous study. An improvement was proposed for one of the filters. Parameters of each filter were adjusted to ensure their best performance. Four estimation parameters were proposed as criteria for comparison. The output from the filters was compared against two idealized signals (the signals denoised offline). The study revealed that FIR filters with triangular or Gaussian kernel (weighting) functions and parameters dependent on signal state show the best performance.