{"created":"2025-01-19T01:28:30.858553+00:00","updated":"2025-01-19T11:33:40.006704+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229391","sets":["1164:3027:11083:11362"]},"path":["11362"],"owner":"44499","recid":"229391","title":["<i>CO</i><sub>2</sub>センサを用いたバス内置き去り検知"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-11-14"},"_buckets":{"deposit":"64c8b6e4-f721-4210-bfce-07032f782dd7"},"_deposit":{"id":"229391","pid":{"type":"depid","value":"229391","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"<i>CO</i><sub>2</sub>センサを用いたバス内置き去り検知","author_link":["616796","616792","616797","616795","616790","616793","616791","616794"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"<i>CO</i><sub>2</sub>センサを用いたバス内置き去り検知"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"行動・状況認識","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-11-14","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"慶應義塾大学環境情報学部"},{"subitem_text_value":"慶應義塾大学環境情報学部"},{"subitem_text_value":"慶應義塾大学大学院政策・メディア研究科"},{"subitem_text_value":"慶應義塾大学大学院政策・メディア研究科"},{"subitem_text_value":"慶應義塾大学大学院政策・メディア研究科"},{"subitem_text_value":"慶應義塾大学大学院政策・メディア研究科"},{"subitem_text_value":"慶應義塾大学環境情報学部"},{"subitem_text_value":"慶應義塾大学環境情報学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Environment and Information Studies, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Environment and Information Studies, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Media and Governance, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Media and Governance, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Media and Governance, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Media and Governance, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Environment and Information Studies, Keio University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Environment and Information Studies, Keio University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/229391/files/IPSJ-HCI23205025.pdf","label":"IPSJ-HCI23205025.pdf"},"date":[{"dateType":"Available","dateValue":"2025-11-14"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HCI23205025.pdf","filesize":[{"value":"3.4 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晃"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大越, 匡"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中澤, 仁"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1221543X","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8760","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年,スクールバス内における幼児の置き去り事故が多発している.複数企業において置き去りを検知するシステムが開発・販売されている一方で,それらのシステムに用いられているセンサには死角やプライバシ侵害等の問題が存在する.そこで,本研究では,死角が少なく,プライバシ侵害の懸念がない CO2 センサを用いた置き去り検知システムの構築を行った.実験では,成人男性 5 名を対象に,8 台の CO2 センサを設置したマイクロバス内において,乗車時や置き去り時を想定した環境下での CO2 センサデータセットを作成し,複数の機械学習モデルの構築,及び精度の比較検証を行った.自作データセットを用い,被験者の置き去り位置と CO2 センサの値の関係性について調査したところ,CO2 センサと置き去りにされた被験者との距離や向きに関連して,CO2 濃度の分布が変化することを確認した.置き去りにされた被験者から最も遠いセンサにおいても,CO2 濃度の変化が見られ,CO2 センサを用いた置き去り検知の可能性を示した.また,窓が開いている状態での置き去り検知可能性を検証した.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告ヒューマンコンピュータインタラクション(HCI)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-11-14","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"25","bibliographicVolumeNumber":"2023-HCI-205"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229391,"links":{}}