{"created":"2025-01-19T01:14:16.465212+00:00","updated":"2025-01-19T17:10:43.476022+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00213393","sets":["6164:6165:7006:10727"]},"path":["10727"],"owner":"44499","recid":"213393","title":["懸垂マシンを用いた筋トレにおけるデバイスフリー種目推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-10-18"},"_buckets":{"deposit":"8e8118ac-3853-4cbb-9dd9-5cd6ebc60597"},"_deposit":{"id":"213393","pid":{"type":"depid","value":"213393","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"懸垂マシンを用いた筋トレにおけるデバイスフリー種目推定","author_link":["545948","545947","545946"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"懸垂マシンを用いた筋トレにおけるデバイスフリー種目推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"行動認識，トレーニング支援システム，健康増進，IoT，センサ情報処理","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2021-10-18","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九州大学システム情報科学府情報理工学専攻"},{"subitem_text_value":"九州大学大学院システム情報科学研究院"},{"subitem_text_value":"九州大学大学院システム情報科学研究院"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kyushu University","subitem_text_language":"en"},{"subitem_text_value":"Kyushu University","subitem_text_language":"en"},{"subitem_text_value":"Kyushu University","subitem_text_language":"en"}]},"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/213393/files/IPSJ-DPSWS2021040.pdf","label":"IPSJ-DPSWS2021040.pdf"},"date":[{"dateType":"Available","dateValue":"2023-10-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DPSWS2021040.pdf","filesize":[{"value":"3.6 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":"34"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"1dade2a8-18bd-4252-b4d2-c83ce2298d40","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"難波, 洸也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 優吾"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"荒川, 豊"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では，家庭内での効果的な筋トレとして懸垂マシンに着目し，習慣化を促すための運動記録システムを提案する．提案システムは，懸垂マシン本体に加速度センサを内蔵し，その揺れ具合からトレーニング種目を自動判定する．今回，加速度センサを 3 箇所に装着した懸垂マシンを開発し，8 名の被験者に協力してもらい，評価実験を行った結果を報告する．評価実験では，各被験者にぶら下がり，懸垂，レッグレイズ，腕立て伏せの 4 種目を行ってもらい，その際に得られた時系列加速度データに機械学習を適用することで，種目判定モデルを構築する．その結果，上部に装着した加速度センサによる判定精度が高いこと，機械学習アルゴリズムの中でも Logistic RegressionがLeave One Person Out（LOPO）において，正解率：0.776，F 値：0.775 と高い精度となることを明らかにした．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"256","bibliographic_titles":[{"bibliographic_title":"第29回マルチメディア通信と分散処理ワークショップ論文集"}],"bibliographicPageStart":"252","bibliographicIssueDates":{"bibliographicIssueDate":"2021-10-18","bibliographicIssueDateType":"Issued"}}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":213393,"links":{}}