{"updated":"2025-01-21T12:26:39.899708+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00098495","sets":["581:7397:7450"]},"path":["7450"],"owner":"11","recid":"98495","title":["3軸加速度センサを用いた歩行者推定手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-02-15"},"_buckets":{"deposit":"c5a314bd-cd33-4b00-8711-27ad85cf3b39"},"_deposit":{"id":"98495","pid":{"type":"depid","value":"98495","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"3軸加速度センサを用いた歩行者推定手法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"3軸加速度センサを用いた歩行者推定手法"},{"subitem_title":"A Study of Identification of Pedestrian by Using 3-axis Accelerometer","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：ネットワークサービスと分散処理] 加速度センサ，人物推定，行動認識","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2014-02-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"富山県立大学"},{"subitem_text_value":"三菱電機情報ネットワーク株式会社"},{"subitem_text_value":"富山県立大学"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Toyama Prefectural University","subitem_text_language":"en"},{"subitem_text_value":"Mitsubishi Electric Information Network Corporation","subitem_text_language":"en"},{"subitem_text_value":"Toyama Prefectural University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/98495/files/IPSJ-JNL5502019.pdf"},"date":[{"dateType":"Available","dateValue":"2016-02-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5502019.pdf","filesize":[{"value":"1.8 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"bb423747-2f33-440d-a304-c3a5bed9356f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"岩本, 健嗣"},{"creatorName":"杉森, 大輔"},{"creatorName":"松本, 三千人"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takeshi, Iwamoto","creatorNameLang":"en"},{"creatorName":"Daisuke, Sugimori","creatorNameLang":"en"},{"creatorName":"Michito, Matsumoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"今日，ユビキタス技術の研究，開発が進み，様々な認識，推定技術に関する研究が行われている．本論文では，行動的特徴を用いた個人認識技術に着目する．人が行う動作には様々あるが，今回は人が日常的に行っている歩行動作を利用した歩行者推定手法を提案する．また，歩行動作を検知する手段として3軸加速度センサを搭載した携帯電話を用いる．携帯電話を用いた歩行者推定を行うためには，状態推定，携帯電話の所持位置推定，ユーザ推定をそれぞれ行う必要がある．本論文では，携帯電話を用いてユーザの移動データから特徴量を抽出し，歩行者を推定する実験とその評価を行い，提案する歩行者推定手法が有効であることを示した．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Recently, researches about various identification technology and recognition technology are advanced. We focus on personal recognition with behavioral profile. We suggest walking identification system to use walk which is daily action. In this research, we use 3-axis accelerometer mounted on mobile phone to get walking data. The system needs to get correct user's context, mobile phone position and user. We extracted feature amounts from user's walking data by using mobile phone and conducted experiment about walking identification system. We show that a proposed method gained high accuracy to select tailored feature amount for mobile phone position.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"749","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"739","bibliographicIssueDates":{"bibliographicIssueDate":"2014-02-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"55"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-18T23:44:43.888476+00:00","id":98495,"links":{}}