{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00163617","sets":["1164:6390:8460:8740"]},"path":["8740"],"owner":"11","recid":"163617","title":["学習データの選択による心拍情報からの身体活動強度推定の高精度化に関する研究"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-05-26"},"_buckets":{"deposit":"fc3ebcc4-e6d6-42ab-b972-21f80eb824bd"},"_deposit":{"id":"163617","pid":{"type":"depid","value":"163617","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"学習データの選択による心拍情報からの身体活動強度推定の高精度化に関する研究","author_link":["320817","320810","320819","320811","320809","320815","320814","320816","320818","320813","320812","320820"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"学習データの選択による心拍情報からの身体活動強度推定の高精度化に関する研究"},{"subitem_title":"Study of Improving Accuracy of Estimating a Physical Activity from Heart Rate by Selecting Learning Data","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ヒューマンセンシング","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2016-05-26","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本電信電話株式会社NTTサービスエボリューション研究所"},{"subitem_text_value":"日本電信電話株式会社NTTサービスエボリューション研究所"},{"subitem_text_value":"日本電信電話株式会社NTTサービスエボリューション研究所"},{"subitem_text_value":"日本電信電話株式会社NTTサービスエボリューション研究所"},{"subitem_text_value":"日本電信電話株式会社NTTサービスエボリューション研究所"},{"subitem_text_value":"日本電信電話株式会社NTTサービスエボリューション研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"NTT Service Evolution Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Service Evolution Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Service Evolution Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Service Evolution Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Service Evolution Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Service Evolution Laboratories","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/163617/files/IPSJ-CDS16016003.pdf","label":"IPSJ-CDS16016003.pdf"},"date":[{"dateType":"Available","dateValue":"2018-05-26"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CDS16016003.pdf","filesize":[{"value":"7.7 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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":"2188-8604","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"身体の動作の激しさを表す身体活動強度は,Metabolic Equivalents (METs) という単位で表され,スポーツのトレーニング等に活用されている.建設現場や製造現場等において作業員の身体活動強度を計測することができれば,労務管理等への活用できると考えられる.しかしながら,従来より利用されてきた加速度センサを用いた手法では,高強度の運動や加速度変化の小さい運動では誤差が大きくなるという課題があり,激しい運動や様々な動作をする作業員の身体活動強度推定への活用は難しかった.そこで,本研究では,心拍情報から身体活動強度を推定する.多様な動作に対応するために,学習データを選択して回帰分析する手法を提案する.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告コンシューマ・デバイス&システム(CDS)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-05-26","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2016-CDS-16"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":163617,"updated":"2025-01-20T11:14:58.182668+00:00","links":{},"created":"2025-01-19T00:35:32.294911+00:00"}