Robust Discrimination Method of the Electrooculogram Signals for Human-Computer Interaction Controlling Mobile Robot

@article{Kim2007RobustDM,
  title={Robust Discrimination Method of the Electrooculogram Signals for Human-Computer Interaction Controlling Mobile Robot},
  author={Youngmin Kim and Nakju Lett Doh and Youngil Youm and Wan Kyun Chung},
  journal={Intelligent Automation & Soft Computing},
  year={2007},
  volume={13},
  pages={319-336}
}
In this paper, a robust algorithm that discriminates various eye motions from the ElectroOculoGram (EOG) signals is proposed. Previous researches that use the EOG only focused on saccadic motions or blinks. However, we cover all eye motions including double/triple blinks and left/right winks. Furthermore, we suggest a novel method, which removes noises of the EOG, to increase the robustness of the discrimination. The method is called "an ideal velocity shape algorithm" which compares the real… CONTINUE READING
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