{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220159","sets":["1164:3980:10839:10982"]},"path":["10982"],"owner":"44499","recid":"220159","title":["歩行時の加速度の周期性によるスマートグラス端末姿勢推定手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-09-09"},"_buckets":{"deposit":"2b4ef135-115e-4960-bbfe-2d985c85fa24"},"_deposit":{"id":"220159","pid":{"type":"depid","value":"220159","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"歩行時の加速度の周期性によるスマートグラス端末姿勢推定手法","author_link":["575249","575248"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"歩行時の加速度の周期性によるスマートグラス端末姿勢推定手法"}]},"item_type_id":"4","publish_date":"2022-09-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学基幹理工学研究科"},{"subitem_text_value":"早稲田大学基幹理工学研究科"}]},"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/220159/files/IPSJ-ITS22090010.pdf","label":"IPSJ-ITS22090010.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ITS22090010.pdf","filesize":[{"value":"3.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"37"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"e80fe25e-428c-4f6f-b0cc-47f7843a334f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐藤, 大生"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"戸川, 望"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11515904","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":"2188-8965","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"スマートグラスは，歩行者ナビゲーションシステムやゲーム，業務支援アプリケーションなど，多様な分野でその適用が期待されている．こうしたアプリケーションやシステムでは，ユーザの現在の状態や行動を把握するため，ユーザが行動している際，特にユーザが歩行している際のスマートグラス端末の姿勢を推定することが重要となる．本稿では，ユーザ歩行時のスマートグラス端末姿勢推定手法を提案する．提案手法は，歩行時の加速度の周期性を用いることで鉛直下向きを特定し，これをもとに高速かつ高精度にスマートグラス端末の姿勢を推定する．評価実験の結果，高精度とされる従来手法と比較して，スマートグラス端末姿勢推定の精度を同程度に保ちつつ追随性を向上させ，端末姿勢角度の収束に要する時間を従来手法に対して約 1.4 s 短縮できることを確認した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告高度交通システムとスマートコミュニティ（ITS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-09-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicVolumeNumber":"2022-ITS-90"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":220159,"updated":"2025-01-19T14:38:53.886794+00:00","links":{},"created":"2025-01-19T01:20:12.363903+00:00"}