{"id":72969,"updated":"2025-01-21T22:08:09.007422+00:00","links":{},"created":"2025-01-18T23:31:07.939970+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00072969","sets":["1164:4061:6339:6340"]},"path":["6340"],"owner":"10","recid":"72969","title":["センサ装着位置の差異に頑健な加速度による移動行動の推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-02-28"},"_buckets":{"deposit":"fae141e1-c3fc-4113-a7e9-1bf558b97513"},"_deposit":{"id":"72969","pid":{"type":"depid","value":"72969","revision_id":0},"owners":[10],"status":"published","created_by":10},"item_title":"センサ装着位置の差異に頑健な加速度による移動行動の推定","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"センサ装着位置の差異に頑健な加速度による移動行動の推定"},{"subitem_title":"Robust Activity Recognition Method for Variation of Accelerometer Positions","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"センシング技術（行動推定）","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2011-02-28","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"NECサービスプラットフォーム研究所"},{"subitem_text_value":"NECサービスプラットフォーム研究所"},{"subitem_text_value":"NECサービスプラットフォーム研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"NEC Service Platform Research Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NEC Service Platform Research Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NEC Service Platform Research Laboratories","subitem_text_language":"en"}]},"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/72969/files/IPSJ-UBI11029030.pdf"},"date":[{"dateType":"Available","dateValue":"2013-02-28"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-UBI11029030.pdf","filesize":[{"value":"406.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"36"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b4640140-e967-4b0e-81d0-7ddacc203a9b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2011 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"千葉, 雄樹"},{"creatorName":"宮崎, 陽司"},{"creatorName":"中尾, 敏康"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuki, Chiba","creatorNameLang":"en"},{"creatorName":"Yoji, Miyazaki","creatorNameLang":"en"},{"creatorName":"Toshiyasu, Nakao","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11838947","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"携帯電話に様々なセンサが搭載されるようになり，ユーザのコンテキストに適したサービスの実現を目的に，携帯電話に搭載されたセンサを用いた行動推定に関する研究が多くなされている．日常生活では，ポケット，鞄など様々な箇所に格納して携帯電話を持ち歩くことが多いが，従来技術ではセンサの装着位置を制限していることが多く，日常生活へは適用が難しい．そこで我々は，複数の装着位置で行動した際の加速度データを収集し，携帯電話の装着位置に依存しない特徴量の抽出，およびその特徴量を用いた行動推定方式を開発した．本稿では，提案方式および，評価実験について説明し，様々な装着位置で約80％以上の精度で行動を推定できることを示す．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Monitoring human activities is expected to provide useful context-aware-services. Recently acceleration sensors are mounted on many kinds of mobile devices and there are many attempts to recognize human activities using acceleration sensors. Also it is important to identify user's activities in various attachment positions of acceleration sensors because people carry their cell-phones in various positions in their daily life. This paper presents a technique for recognizing human activities that does not restrict positions of acceleration sensor by using some kinds of feature values that are less sensitive to sensor's positions. In this paper, we presents that our technique achieves high precise recognition ratio by experiment of 5 acitivities in 7 attachment position of sensors. ","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告ユビキタスコンピューティングシステム（UBI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2011-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"30","bibliographicVolumeNumber":"2011-UBI-29"}]},"relation_version_is_last":true,"weko_creator_id":"10"}}