{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00205873","sets":["6504:10247:10248"]},"path":["10248"],"owner":"6748","recid":"205873","title":["顔表情および頭部動作に基づくeラーニング時の覚醒度推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-02-20"},"_buckets":{"deposit":"50169ba8-a82d-4078-bd11-c02d1ab5eff4"},"_deposit":{"id":"205873","pid":{"type":"depid","value":"205873","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"顔表情および頭部動作に基づくeラーニング時の覚醒度推定","author_link":["511016","511017","511020","511015","511019","511021","511014","511018"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"顔表情および頭部動作に基づくeラーニング時の覚醒度推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2020-02-20","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"阪大"},{"subitem_text_value":"富士通研"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/205873/files/IPSJ-Z82-7ZD-06.pdf","label":"IPSJ-Z82-7ZD-06.pdf"},"date":[{"dateType":"Available","dateValue":"2020-06-19"}],"format":"application/pdf","filename":"IPSJ-Z82-7ZD-06.pdf","filesize":[{"value":"347.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"d5afbe0b-ec1e-4c76-8327-59421724ff40","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"寺井, 省吾"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川村, 亮介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"白井, 詩沙香"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"メラサ, アリザデ"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"武村, 紀子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"浦西, 友樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"長原, 一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"竹村, 治雄"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"オンライン教育やブレンディッドラーニングの普及に伴い，インターネット上で動画による講義を受講できるeラーニングの需要が高まってきている．eラーニングの課題として，学習者のエンゲージメントの維持があり、それを妨げる要因の一つとして眠気が挙げられる．眠気の検知に関する研究として，自動車分野では画像処理技術を用いた運転中のドライバーの眠気度合いの推定などが進められている．一方で，講義動画視聴中の学習者の覚醒度を推定する研究は未だ少ない．そこで，本研究では， eラーニング学習中のエンゲージメントの維持を目的として，講義動画視聴中の学習者の顔表情と頭部方向の変化に基づいて覚醒度を推定する手法を提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"422","bibliographic_titles":[{"bibliographic_title":"第82回全国大会講演論文集"}],"bibliographicPageStart":"421","bibliographicIssueDates":{"bibliographicIssueDate":"2020-02-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2020"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"updated":"2025-01-19T19:36:29.532134+00:00","created":"2025-01-19T01:07:59.502874+00:00","links":{},"id":205873}