{"updated":"2025-01-20T12:50:33.025451+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00159065","sets":["581:8417:8422"]},"path":["8422"],"owner":"11","recid":"159065","title":["スマートフォンの加速度・磁気センサを併用した鉄道車両の移動状態推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-04-15"},"_buckets":{"deposit":"0a692eeb-dafb-416a-8371-bddb6357ed22"},"_deposit":{"id":"159065","pid":{"type":"depid","value":"159065","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"スマートフォンの加速度・磁気センサを併用した鉄道車両の移動状態推定","author_link":["305203","305200","305202","305201","305198","305199"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"スマートフォンの加速度・磁気センサを併用した鉄道車両の移動状態推定"},{"subitem_title":"Train Motion Detection Using Accelerometers and Magnetometers in Smartphones","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[一般論文（推薦論文, 特選論文）] 停車検出，モバイルセンシング，データ融合","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2016-04-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪大学大学院情報科学研究科"},{"subitem_text_value":"大阪大学大学院情報科学研究科"},{"subitem_text_value":"大阪大学大学院情報科学研究科"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science and Technology, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, Osaka University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/159065/files/IPSJ-JNL5704021.pdf","label":"IPSJ-JNL5704021.pdf"},"date":[{"dateType":"Available","dateValue":"2018-04-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5704021.pdf","filesize":[{"value":"1.4 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"346ea9cf-5d19-4f3b-b2c9-ff4ca3e2ce5d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"樋口, 雄大"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山口, 弘純"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"東野, 輝夫"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takamasa, Higuchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hirozumi, Yamaguchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Teruo, Higashino","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では，スマートフォン等のモバイル機器に内蔵された加速度センサと磁気センサとを組み合わせることで，端末保持者が乗車する電車の移動状態を高精度に検出する手法を提案する．提案方式では，磁気センサを用いて鉄道車両の電気系統の動作状況を検出するとともに，走行状態に応じた特徴的な加速度特性をもとに判定結果を補正することで，揺れの少ない車両でも高精度な移動状態判定を実現している．京阪神エリアの複数の鉄道路線においてフィールド実験を実施し，電車の移動状態の検出精度を，従来方式と比較して大幅に改善できることを確認した．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper we propose a mobile sensing system to monitor stop-and-go patterns of trains. Our system employs embedded accelerometers and magnetometers in off-the-shelf mobile devices to detect vibration of vehicles and activity of electric motors, respectively. Analyzing the sensor measurements with a light-weight machine learning algorithm, it enables fine-grained, continuous monitoring of trains' motion on the spot. Through field experiments using multiple models of Android smartphones and smart watches, we show that the system can achieve much higher performance than existing solutions.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1283","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"1274","bibliographicIssueDates":{"bibliographicIssueDate":"2016-04-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"57"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:32:12.723946+00:00","id":159065,"links":{}}