{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00219799","sets":["6164:6165:6640:11008"]},"path":["11008"],"owner":"44499","recid":"219799","title":["FootbSense : 慣性計測装置を用いた自然環境下におけるサッカー動作の識別"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-07-06"},"_buckets":{"deposit":"3e436216-5653-4866-aa67-c3956479305c"},"_deposit":{"id":"219799","pid":{"type":"depid","value":"219799","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"FootbSense : 慣性計測装置を用いた自然環境下におけるサッカー動作の識別","author_link":["573649","573650","573648"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"FootbSense : 慣性計測装置を用いた自然環境下におけるサッカー動作の識別"}]},"item_type_id":"18","publish_date":"2022-07-06","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":"青山学院大学"},{"subitem_text_value":"青山学院大学"},{"subitem_text_value":"青山学院大学"}]},"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/219799/files/IPSJ-DICOMO2022225.pdf","label":"IPSJ-DICOMO2022225.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2022225.pdf","filesize":[{"value":"7.6 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":"44"}],"accessrole":"open_date","version_id":"2f3beec7-88ab-45cf-b68c-442dae1c432c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"青柳, 光璃"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"横窪, 安奈"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ロペズ, ギヨーム"}],"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":"スポーツにおいて動作の分析を理解することは,怪我のリスクを回避,トレーニングメニューの最適化,戦略的な意思決定のサポート,パフォーマンス評価などの重要な情報をコーチ,マネージャー,選手自身に提供できる.しかし,既存のシステムは,とても高価であり,プロ選手やエリートの一部しか利用できない.また,コーチやマネージャーを支援する機能が付いていないことが課題である.そこで本研究では,安価な小型の慣性計測装置を用いてコーチやマネージャーを支援するシステムの開発を目的とし,自然環境下においてのサッカー動作の識別を目標とする.我々はサッカー動作をリアルタイムで識別するために自動セグメンテーション手法の提案と機械学習を用いてサッカー動作の分類モデルの比較を行った.セグメンテーションによる結果は全ての動作が 90% 以上でセグメントが可能であることを示せた.また,分類モデルの比較では Support Vector Machine で 75% の精度を達成した.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1629","bibliographic_titles":[{"bibliographic_title":"マルチメディア,分散,協調とモバイルシンポジウム2022論文集"}],"bibliographicPageStart":"1625","bibliographicIssueDates":{"bibliographicIssueDate":"2022-07-06","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":219799,"updated":"2025-01-19T14:46:35.541871+00:00","links":{},"created":"2025-01-19T01:19:51.537071+00:00"}