{"links":{},"id":193493,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00193493","sets":["6164:6165:6640:9657"]},"path":["9657"],"owner":"44499","recid":"193493","title":["健常者歩行時加速度データからのバリア検出における最適サンプル長の基礎検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-06-27"},"_buckets":{"deposit":"fe1b0159-76d1-4312-8dc3-52702605d61b"},"_deposit":{"id":"193493","pid":{"type":"depid","value":"193493","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"健常者歩行時加速度データからのバリア検出における最適サンプル長の基礎検討","author_link":["453644","453647","453645","453643","453646"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"健常者歩行時加速度データからのバリア検出における最適サンプル長の基礎検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"その他","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":"日本大学"},{"subitem_text_value":"日本大学大学院"},{"subitem_text_value":"日本大学"},{"subitem_text_value":"日本大学"},{"subitem_text_value":"日本大学"}]},"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/193493/files/IPSJ-DICOMO2018066.pdf","label":"IPSJ-DICOMO2018066.pdf"},"date":[{"dateType":"Available","dateValue":"2020-06-27"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2018066.pdf","filesize":[{"value":"2.5 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":"726d7d28-b047-456a-9217-a9d66da32109","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":"篠崎, 涼太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"呉, 健朗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"樋口, 恭佑"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"宇野, 広伸"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"宮田, 章裕"}],"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":"世の中には，障がい者や高齢者などの移動弱者が容易に通行することのできない，段差や階段，坂道などのバリアが多数存在する．移動弱者が円滑に外出を行うため，情報提供によるバリアフリーマップの作成や，バリアを通過する際の人間の動きからバリアを検出する研究などが多く行われている．そこで，我々は，健常者の歩行時加速度データからバリアを検出することで，広範囲 ・ 高精度にバリアの情報を収集できるシステムを提案してきた．\nしかし，提案システムにおいて利用する加速度時系列データの長さは暫定的なものを使用していたため，サンプル長を変化させることで推定精度が変化する可能性がある．本稿では，様々なサンプル長を設定してバリア推定実験を行い精度を比較し，\n適切なサンプル長を探索した．その結果，サンプル長がバリアの推定精度に影響を与えることが明らかになり，適切なサンプル長を設定することができた．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"436","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":"432","bibliographicIssueDates":{"bibliographicIssueDate":"2018-06-27","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2018"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T00:58:42.960579+00:00","updated":"2025-01-19T23:54:33.710468+00:00"}