Digital signal processing: theory, applications, and hardware
Digital signal processing: theory, applications, and hardware
Signal Processing
Multivariate analysis of full-term neonatal polysomnographic data
IEEE Transactions on Information Technology in Biomedicine
Comparison of eye movement filters used in HCI
Proceedings of the Symposium on Eye Tracking Research and Applications
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This paper presents an approach of using FIR Median Hybrid Filters for analysis of eye tracking movements. The proposed filter can remove the eye blink artifact from the eye movement signal. The background of the project is described first. The whole idea is to put movements into eyes, which are used as static prosthesis, so that the ocular implant will have the same natural movement as the real eye. First step is to obtain the movement of the real eye. From the review of the eye movement methods, the electro-oculogram (EOG) is used to determine the eye position. Because the eye blink artifact is always corrupted in the EOG signal, it must be filtered out for the purpose of our project. The FIR Median Hybrid Filter is studied in the paper; its properties are explored with examples. Finally the filter is used to deal the real eye blink corrupted EOG signal. Examples are given of analysis procedure for eye tracking or a random moving target. The method is proved to be highly reliable.