Two Improving Methods of EOG-based Eye Movement Detection for HCI

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2019/12/01

タイトル(英語): Two Improving Methods of EOG-based Eye Movement Detection for HCI

著者名: Minghui Chen (Nagoya Institute of Technology), Daisuke Anzai (Nagoya Institute of Technology), Jianqing Wang (Nagoya Institute of Technology), Toshihiko Terado (Gifu University), Georg Fischer (Friedrich-Alexander University of Erlangen-Nuremberg)

著者名(英語): Minghui Chen (Nagoya Institute of Technology), Daisuke Anzai (Nagoya Institute of Technology), Jianqing Wang (Nagoya Institute of Technology), Toshihiko Terado (Gifu University), Georg Fischer (Friedrich-Alexander University of Erlangen-Nuremberg)

キーワード: EOG，electrooculogram，electrooculography，biosignal sensing，eye movement detection，posner paradigm

要約(英語): 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%.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.139 No.12 （2019） 特集：電気・電子・情報関係学会東海支部連合大会

本誌掲載ページ: 1474-1480 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/139/12/139_1474/_article/-char/ja/