{"id":193584,"created":"2025-01-19T00:58:48.092468+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00193584","sets":["6164:6165:6640:9657"]},"path":["9657"],"owner":"44499","recid":"193584","title":["大量の屋内PDR歩行軌跡を用いた歩行軌跡の高精度化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-06-27"},"_buckets":{"deposit":"776e952a-106e-413d-a3b4-f216a7d9df45"},"_deposit":{"id":"193584","pid":{"type":"depid","value":"193584","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"大量の屋内PDR歩行軌跡を用いた歩行軌跡の高精度化","author_link":["453963","453962","453959","453961","453960","453958"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大量の屋内PDR歩行軌跡を用いた歩行軌跡の高精度化"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"モバイルコンピューティング","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2018-06-27","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":"愛知工業大学大学院 経営情報科学研究科"},{"subitem_text_value":"三菱電機エンジニアリング株式会社"},{"subitem_text_value":"愛知工業大学情報科学部情報科学科"},{"subitem_text_value":"愛知工業大学情報科学部情報科学科"},{"subitem_text_value":"愛知工業大学情報科学部情報科学科"},{"subitem_text_value":"愛知工業大学情報科学部情報科学科"}]},"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/193584/files/IPSJ-DICOMO2018157.pdf","label":"IPSJ-DICOMO2018157.pdf"},"date":[{"dateType":"Available","dateValue":"2020-06-27"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2018157.pdf","filesize":[{"value":"1.9 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":"0d267c2c-fe78-496d-9ad4-249c38cd95e1","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"四ツ谷, 昂亮"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 信行"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"内藤, 克浩"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中條, 直也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"水野, 忠則"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"梶, 克彦"}],"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":"建物構造情報は屋内位置情報サービス (Indoor Location Based Services : 屋内 LBS) の実現に必要な情報である．我々の目的は，PDR によって得られた大量の軌跡の統合による歩行空間ネットワーク構造の生成である．高精度な歩行空間ネットワーク構造を生成するためには，各軌跡の精度を向上させる必要がある．そこで本稿では大量の PDR 歩行軌跡を用いて屋内 PDR 歩行軌跡の精度を向上させる手法を提案する．最初に，センシングデータの安定性に基づいた信頼性の高い歩行軌跡の選択を行う．次に，歩幅の傾向を調査して歩行距離の修正を行う．最後に，同一経路歩行軌跡を用いて各経路ごとに軌跡の平均化を行う．屋内歩行センシングコーパス HASC-IPSC を用いた評価実験の結果，提案手法により歩行軌跡の精度向上が確認できた．修正前の推定歩行軌跡の誤差蓄積速度は 0.1111 [m/s]，提案手法を適用した 3 次元推定歩行軌跡の誤差蓄積速度は 0.0622 [m/s] となった．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1047","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2018論文集"}],"bibliographicPageStart":"1040","bibliographicIssueDates":{"bibliographicIssueDate":"2018-06-27","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2018"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T23:52:27.445233+00:00","links":{}}