{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00218193","sets":["1164:4061:10837:10917"]},"path":["10917"],"owner":"44499","recid":"218193","title":["加速度及びジャイロスコープセンサデータを用いたスマートフォンアプリケーションの推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-05-30"},"_buckets":{"deposit":"30bb07ba-562b-4766-b854-661743dfb464"},"_deposit":{"id":"218193","pid":{"type":"depid","value":"218193","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"加速度及びジャイロスコープセンサデータを用いたスマートフォンアプリケーションの推定","author_link":["566839","566842","566843","566840","566841"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"加速度及びジャイロスコープセンサデータを用いたスマートフォンアプリケーションの推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"行動・動作認識","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-05-30","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":"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/218193/files/IPSJ-UBI22074014.pdf","label":"IPSJ-UBI22074014.pdf"},"date":[{"dateType":"Available","dateValue":"2024-05-30"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-UBI22074014.pdf","filesize":[{"value":"1.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"36"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"73bbd000-1ea4-427f-bb56-5769936c88f5","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"柄澤, 匠"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"浜中, 智己"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐々木, 航"}],"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":"AA11838947","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":"2188-8698","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"スマートフォンアプリケーションのスクリーンタイムデータは，ユーザが使用したアプリケーションの使用時間やスマートフォン画面の起動時間などのユーザ情報を客観的かつ正確に反映している．一方でスクリーンタイムデータの取得はユーザプライバシーの観点から制限される場合が多く，データ活用の機会は著しく少ない．本研究では上記の課題を解決するため，スクリーンタイムデータの替わりにスマートフォンに標準的に搭載される加速度及びジャイロスコープセンサデータに着目し，使用されたアプリケーションの推定を行った．実験では男女計 10 名を対象に，4 種類の SNS アプリケーションを利用している際のセンサデータからデータセットを作成し，勾配ブースティング決定木アルゴリズムを用いて各 SNS アプリケーションを推定する機械学習モデルを作成した．k 分割交差検証により作成したモデルに対してAccuracy，Precision，Recall を算出し提案手法の有効性を示した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告ユビキタスコンピューティングシステム（UBI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-05-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"14","bibliographicVolumeNumber":"2022-UBI-74"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":218193,"updated":"2025-01-19T15:14:12.516479+00:00","links":{},"created":"2025-01-19T01:18:36.311902+00:00"}