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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
https://kitami-it.repo.nii.ac.jp/records/8159db86a90f-d542-436a-9a31-593db6c3d8b6
名前 / ファイル | ライセンス | アクション |
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Abe_eye_blink_counter_MIT_Mar2012_final_version.pdf (813.6 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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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× 董, 建× 早川, 吉彦 |
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著者別名 | ||||||
姓名 | ABE, Kosuke | |||||
言語 | en | |||||
著者別名 | ||||||
姓名 | DONG, Jian | |||||
言語 | en | |||||
著者別名 | ||||||
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. |
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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. |
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書誌情報 |
en : Medical Imaging Technology 巻 30, 号 2, p. 65-72, 発行日 2012-03 |
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DOI | ||||||
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 |