{"created":"2021-03-01T06:00:37.101177+00:00","id":8159,"links":{},"metadata":{"_buckets":{"deposit":"2177632c-d48f-4079-a74d-8aa80a3ff683"},"_deposit":{"id":"8159","owners":[],"pid":{"revision_id":0,"type":"depid","value":"8159"},"status":"published"},"_oai":{"id":"oai:kitami-it.repo.nii.ac.jp:00008159","sets":["1:86"]},"author_link":["42726","42727","42728","42723","42724","44868"],"item_1646810750418":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_3_alternative_title_198":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Eye Blink Counter for VDT Workers Based on Image Processing Techniques Applied to Face Recognition and Eye Detection"}]},"item_3_biblio_info_186":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2012-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"72","bibliographicPageStart":"65","bibliographicVolumeNumber":"30","bibliographic_titles":[{"bibliographic_title":"Medical Imaging Technology","bibliographic_titleLang":"en"}]}]},"item_3_description_184":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"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\n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\n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\n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\n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\n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\n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\n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\n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\nができた．","subitem_description_type":"Abstract"},{"subitem_description":"Visual display terminal (VDT) syndrome causes dry eyes and related\nsymptoms. In addition, the number of eye blinks is reduced in VDT\nworkers. We have therefore developed a real-time eye blink counter\nsystem. This system employs face pattern recognition, eye-area\ndetection, and tracking using a template-matching method for eye blink\ndetection. The changes between successive frames in a movie captured by\na web camera (30 fps, 320 × 240 pixels) were recorded. We then applied\nthree different methods as image processing techniques for eye blink\ndetection: the subtraction of successive frames, eye open/closed status\ndetection by image scanning, and iris detection by template matching.\nThe results showed that comparable performance could be achieved using\nall three methods. The system functioned well as a real-time eye blink\ncounter and may also prove to be useful as a sleepiness or catnap\ndetector, as well as find applications in\nman-machine interfaces and visual axis analysis.","subitem_description_type":"Abstract"}]},"item_3_full_name_183":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"42726","nameIdentifierScheme":"WEKO"}],"names":[{"name":"ABE, Kosuke","nameLang":"en"}]},{"nameIdentifiers":[{"nameIdentifier":"42727","nameIdentifierScheme":"WEKO"}],"names":[{"name":"DONG, Jian","nameLang":"en"}]},{"nameIdentifiers":[{"nameIdentifier":"42728","nameIdentifierScheme":"WEKO"}],"names":[{"name":"HAYAKAWA, Yoshihiko","nameLang":"en"}]}]},"item_3_publisher_212":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本医用画像工学会"}]},"item_3_relation_191":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://doi.org/10.11409/mit.30.65","subitem_relation_type_select":"DOI"}}]},"item_3_rights_192":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"c2012 日本医用画像工学会"}]},"item_3_select_195":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"author"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"阿部, 恒介","creatorNameLang":"ja"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"董, 建","creatorNameLang":"ja"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"早川, 吉彦","creatorNameLang":"ja"}],"nameIdentifiers":[{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-11-22"}],"displaytype":"detail","filename":"Abe_eye_blink_counter_MIT_Mar2012_final_version.pdf","filesize":[{"value":"813.6 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"Abe_eye_blink_counter_MIT_Mar2012_final_version.pdf","url":"https://kitami-it.repo.nii.ac.jp/record/8159/files/Abe_eye_blink_counter_MIT_Mar2012_final_version.pdf"},"version_id":"e2a0bfe5-cb7a-4460-addd-76408dd34dc8"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"瞬き","subitem_subject_scheme":"Other"},{"subitem_subject":"VDT作業","subitem_subject_scheme":"Other"},{"subitem_subject":"VDT症候群","subitem_subject_scheme":"Other"},{"subitem_subject":"テンプレートマッチング","subitem_subject_scheme":"Other"},{"subitem_subject":"顔認識","subitem_subject_scheme":"Other"},{"subitem_subject":"Eye blink","subitem_subject_scheme":"Other"},{"subitem_subject":"VDT work","subitem_subject_scheme":"Other"},{"subitem_subject":"VDT syndrome","subitem_subject_scheme":"Other"},{"subitem_subject":"Template matching","subitem_subject_scheme":"Other"},{"subitem_subject":"Face recognition","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"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","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"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","subitem_title_language":"ja"},{"subitem_title":"Eye Blink Counter for VDT Workers Based on Image Processing Techniques Applied to Face Recognition and Eye Detection","subitem_title_language":"en"}]},"item_type_id":"3","owner":"1","path":["86"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2016-04-08"},"publish_date":"2016-04-08","publish_status":"0","recid":"8159","relation_version_is_last":true,"title":["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"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-12-13T02:21:45.125685+00:00"}