Two improving methods of eog-based eye movement detection for HCI

Chen M, Anzai D, Wang J, Terado T, Fischer G (2019)

Publication Type: Journal article

Publication year: 2019

Journal

IEEJ Transactions on Electronics, Information and Systems Institute of Electrical Engineers of Japan

Book Volume: 139

Pages Range: 1474-1480

Journal Issue: 12

DOI: 10.1541/ieejeiss.139.1474

Abstract

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%.

Authors with CRIS profile

Georg Fischer Professur für Technische Elektronik

Involved external institutions

Nagoya Institute of Technology / 名古屋工業大学 Nagoya Kōgyō Daigaku JP Japan (JP) Gifu University / 岐阜大学 JP Japan (JP)

How to cite

APA:

Chen, M., Anzai, D., Wang, J., Terado, T., & Fischer, G. (2019). Two improving methods of eog-based eye movement detection for HCI. IEEJ Transactions on Electronics, Information and Systems, 139(12), 1474-1480. https://doi.org/10.1541/ieejeiss.139.1474

MLA:

Chen, Minghui, et al. "Two improving methods of eog-based eye movement detection for HCI." IEEJ Transactions on Electronics, Information and Systems 139.12 (2019): 1474-1480.

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