2種類の随意性瞬目と自発性瞬目の自動識別法

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: 2016/09/01

タイトル(英語): An Automatic Classification Method for Involuntary and Two Types of Voluntary Blinks

著者名: 佐藤　寛修（関東学院大学理工学部理工学科情報学系），阿部　清彦（関東学院大学理工学部理工学科情報学系），大井　尚一（東京電機大学情報環境学部情報環境学科），大山　実（東京電機大学情報環境学部情報環境学科）

著者名(英語): Hironobu Sato (College of Science and Engineering, Kanto Gakuin University), Kiyohiko Abe (College of Science and Engineering, Kanto Gakuin University), Shoichi Ohi (School of Information Environment, Tokyo Denki University), Minoru Ohyama (School of Information Environment, Tokyo Denki University)

キーワード: 瞬目，随意性瞬目，自発性瞬目，入力インタフェース，画像解析　　Eye blink，Voluntary blink，Involuntary blink，Input interface，Image analysis

要約(英語): Input systems using eye blinks have been proposed. A main purpose of these systems is communication aid for the severely disabled. For employing eye blinks as a command input, these input systems need to detect voluntary (conscious) blinks. We developed a measurement method for variation in pixels of open-eye area from an image sequence. This measurement method enables us to extract blinking wave patterns. We previously proposed an automatic classification method between one type of voluntary blinks and involuntary (unconscious) blinks. If the types of classifiable voluntary blinks increase, we can assign an individual command to each type. Applying this blink type classification to a human-computer interface will improve the efficiency when inputting commands. In this paper, we introduce a new type of voluntary blinks to increase classifiable blink type. In addition, our classification method is extended for automatic classification between two types of voluntary blinks and involuntary blinks. This new classification method is realized by two blink type determinations based on wave pattern parameters that we employ. We clarify proper parameter combinations for the new classification method. Using these proper parameter combinations, we achieved approximately 95% classification rates for 10 subjects.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.9 （2016） 特集：神経工学・サイバネティックス・生体工学

本誌掲載ページ: 1350-1358 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/136/9/136_1350/_article/-char/ja/