IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
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Two Improving Methods of EOG-based Eye Movement Detection for HCI
Minghui ChenDaisuke AnzaiJianqing WangToshihiko TeradoGeorg Fischer
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2019 Volume 139 Issue 12 Pages 1474-1480


In this paper, we proposed two methods to reduce the errors that happens during Electrooculogram(EOG)-based eye movement detection, especially in the case of EOG-based input system or Human-Computer-Interface (HCI). The first one is about taking measures in the detection algorithm, and the second one is by employing the Posner paradigm. Their validity was experimentally evaluated and the results show that our approaches can improve the accuracy of EOG-based eye movement detection by about 10%.

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© 2019 by the Institute of Electrical Engineers of Japan
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