Recognition of Continuous Eye Motions Using Learning Vector Quantization and EOG-feature Based Methods

カテゴリ: 部門大会

論文No: GS12-2

グループ名: 【C】平成25年電気学会電子・情報・システム部門大会講演論文集

発行日: 2013/09/04

タイトル(英語): Recognition of Continuous Eye Motions Using Learning Vector Quantization and EOG-feature Based Methods

著者名: 張 鵬(徳島大学),伊藤 桃代(徳島大学),伊藤伸一 (徳島大学),福見 稔(徳島大学)

著者名(英語): Peng Zhang(Tokushima University),Momoyo Ito(Tokushima University),Shinichi Ito(Tokushima University),Minoru Fukumi(Tokushima University)

キーワード: EOG|LVQ|Eye Motion|Recognition

要約(日本語): Patients as ALS (amyotrophic lateral sclerosis) with severe physical disabilities have difficulty in communication with people, because they cannot move even their muscles except eye. In order to provide an efficient means of communication for those patients, in this paper we proposed a recognition method that uses EOG-feature based methods and Learning Vector Quantization algorithm to recognize continuous eye motions .

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