{"created":"2025-01-18T23:33:41.590818+00:00","updated":"2025-01-21T20:32:16.700133+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00078314","sets":["1164:3865:6341:6571"]},"path":["6571"],"owner":"11","recid":"78314","title":["SVMを用いた歩行者の状態推定手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-11-03"},"_buckets":{"deposit":"b191eddb-6443-487b-be28-c14a5dbb5ba8"},"_deposit":{"id":"78314","pid":{"type":"depid","value":"78314","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"SVMを用いた歩行者の状態推定手法の提案","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"SVMを用いた歩行者の状態推定手法の提案"},{"subitem_title":"A Study of Pedestrian State Estimate using SVM","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ITS","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2011-11-03","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"千葉工業大学"},{"subitem_text_value":"千葉工業大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Chiba Institute of Tecnology","subitem_text_language":"en"},{"subitem_text_value":"Chiba Institute of Tecnology","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/78314/files/IPSJ-MBL11060003.pdf"},"date":[{"dateType":"Available","dateValue":"2013-11-03"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MBL11060003.pdf","filesize":[{"value":"645.1 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":"35"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"53bc50b7-3166-4171-979b-13a9196639a3","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":"沼, 杏子"},{"creatorName":"屋代, 智之"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kyoko, Numa","creatorNameLang":"en"},{"creatorName":"Tomoyuki, Yashiro","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11851388","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":"我々はk-means法を用いて歩行者の状態推定を行う手法を検討してきた．これらの結果より，歩行，走行，階段昇降などの状態がある程度推定できることがわかっている．しかし，携帯端末でリアルタイムに状態を推定するためにはデータおよび処理の軽量化が必須である．そのため，著者らはk-means法を用いた状態推定の軽量化を試みてきた．先行研究によって，ある程度データ量を削減することができたが，他の手法との比較が不十分であった．そこで本研究では，SVMを用いた状態推定に同様の軽量化手法を適用し，k-means法と比較することで，携帯端末上で実用的に状態推定が行える手法について検討する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We apply k-means method to estimate the pedestrian's state such as walking, jogging, going upstairs and going downstairs. Our previous research shows the effectiveness of the method. But, to utilize the method on a mobile phone in real-time, the method should spend less data area and less processor load. We also proposed a method to reduce these cost with k-means method, the comparison with other method is not well considered. In this paper, we apply the proposed low computational cost method to state estimation using SVM method and compared the results with k-means method's results. Furthermore, we discuss about the useful method to realize state estimation on a mobile phone.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告モバイルコンピューティングとユビキタス通信（MBL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2011-11-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2011-MBL-60"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":78314,"links":{}}