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  1. 学術雑誌掲載済論文
  2. 和雑誌

瞬き波形を検出するための画像処理によるVDT作業時における瞬き回数の計測

https://kitami-it.repo.nii.ac.jp/records/8159
db86a90f-d542-436a-9a31-593db6c3d8b6
名前 / ファイル ライセンス アクション
Abe_eye_blink_counter_MIT_Mar2012_final_version.pdf Abe_eye_blink_counter_MIT_Mar2012_final_version.pdf (813.6 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2016-04-08
タイトル
言語 ja
タイトル 瞬き波形を検出するための画像処理によるVDT作業時における瞬き回数の計測
タイトル
言語 en
タイトル Eye Blink Counter for VDT Workers Based on Image Processing Techniques Applied to Face Recognition and Eye Detection
言語
言語 jpn
キーワード
主題Scheme Other
主題 瞬き
キーワード
主題Scheme Other
主題 VDT作業
キーワード
主題Scheme Other
主題 VDT症候群
キーワード
主題Scheme Other
主題 テンプレートマッチング
キーワード
主題Scheme Other
主題 顔認識
キーワード
主題Scheme Other
主題 Eye blink
キーワード
主題Scheme Other
主題 VDT work
キーワード
主題Scheme Other
主題 VDT syndrome
キーワード
主題Scheme Other
主題 Template matching
キーワード
主題Scheme Other
主題 Face recognition
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
その他のタイトル
その他のタイトル Eye Blink Counter for VDT Workers Based on Image Processing Techniques Applied to Face Recognition and Eye Detection
著者 阿部, 恒介

× 阿部, 恒介

WEKO 42723

ja 阿部, 恒介

Search repository
董, 建

× 董, 建

WEKO 42724

ja 董, 建

Search repository
早川, 吉彦

× 早川, 吉彦

WEKO 44868
KAKEN 70164928

ja 早川, 吉彦

Search repository
著者別名
姓名
姓名 ABE, Kosuke
言語 en
著者別名
姓名
姓名 DONG, Jian
言語 en
著者別名
姓名
姓名 HAYAKAWA, Yoshihiko
言語 en
抄録
内容記述タイプ Abstract
内容記述 テクノストレス眼症いわゆるVDT症候群を引き起こす要因として,作業中におけ
る瞬き回数の減少がある.そこで,VDT作業中において,30fpsのwebカメラで
撮った画像から,顔検出・認識と追跡,眼の位置検出,瞬きの検出および瞬き波
形の描画を行うシステムを開発した.顔検出・認識にはOpen CVライブラリを利
用し,追跡には眉間パターンでテンプレートマッチングを行い,トラッキングし
た顔画像から眼の位置は2値化差分画像で得た.瞬きの検出には,フレーム間差
分,眼の開閉度の検出,虹彩の検出の3通りで行った.これらの方法で,瞬きの
瞬間,連続する瞬き,眼を瞑っている状態を画像の変化から測定した波形として
得た.各方法でこれらの観測が一致するロバストな瞬き計測システムを作ること
ができた.
抄録
内容記述タイプ Abstract
内容記述 Visual display terminal (VDT) syndrome causes dry eyes and related
symptoms. In addition, the number of eye blinks is reduced in VDT
workers. We have therefore developed a real-time eye blink counter
system. This system employs face pattern recognition, eye-area
detection, and tracking using a template-matching method for eye blink
detection. The changes between successive frames in a movie captured by
a web camera (30 fps, 320 × 240 pixels) were recorded. We then applied
three different methods as image processing techniques for eye blink
detection: the subtraction of successive frames, eye open/closed status
detection by image scanning, and iris detection by template matching.
The results showed that comparable performance could be achieved using
all three methods. The system functioned well as a real-time eye blink
counter and may also prove to be useful as a sleepiness or catnap
detector, as well as find applications in
man-machine interfaces and visual axis analysis.
書誌情報 en : Medical Imaging Technology

巻 30, 号 2, p. 65-72, 発行日 2012-03
DOI
関連識別子
識別子タイプ DOI
関連識別子 http://doi.org/10.11409/mit.30.65
権利
権利情報 c2012 日本医用画像工学会
出版者
出版者 日本医用画像工学会
著者版フラグ
値 author
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
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