{"created":"2023-07-27T06:25:42.354659+00:00","id":9113,"links":{},"metadata":{"_buckets":{"deposit":"a633a4f4-b566-477b-94d3-23df5df3803f"},"_deposit":{"created_by":3,"id":"9113","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"9113"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00009113","sets":["934:935:936"]},"author_link":["187","1359","66562","1325"],"item_4_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2015-01-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"22","bibliographicPageStart":"15","bibliographicVolumeNumber":"135","bibliographic_titles":[{"bibliographic_title":"電気学会論文誌. E, センサ・マイクロマシン部門誌 = IEEJ Transactions on Sensors and Micromachines"}]}]},"item_4_description_21":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This study aims to develop an attribute classification method for pedestrians using plantar pressure value. Now, many retail businesses use some methods (e.g. member's card, direct mail, questionnaire, manual classification by the staffs, etc.) for collecting customers' information. However, these methods have some problems. One of the problems is instability for collecting data of customers' information. The member's card can not cover all customers. Moreover, manual classification includes dispersion by individual difference. Using pressure sensors has advantages. One of the advantages is that the pressure sensor does not occur a violation of object person's privacy, because pressure values from the sensors can not identify individual from a large indefinite number. Other advantage is that the pressure sensor can measure without being affected by the environment (e.g. lighting, field of view, focus range etc.). Our method for attribute classification uses four feature quantities which are the CoG (center of gravity in X-Y), plantar area and total pressure value. In the experimental result, the classification accuracy about six age groups and gender was 96.09%.","subitem_description_type":"Abstract"}]},"item_4_description_22":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"出版者照会後に全文公開【エンバーゴ設定中】","subitem_description_type":"Other"}]},"item_4_publisher_17":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"電気学会 = The Institute of Electrical Engineers of Japan"}]},"item_4_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1541/ieejsmas.135.15","subitem_relation_type_select":"DOI"}}]},"item_4_relation_28":{"attribute_name":"関連URI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.jstage.jst.go.jp/browse/ieejsmas/-char/ja/","subitem_relation_type_select":"URI"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.iee.jp/","subitem_relation_type_select":"URI"}}]},"item_4_rights_23":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright © 2015 電気学会 The Institute of Electrical Engineers of Japan"}]},"item_4_source_id_11":{"attribute_name":"NCID","attribute_value_mlt":[{"subitem_source_identifier":"AN1052634X","subitem_source_identifier_type":"NCID"}]},"item_4_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1341-8939","subitem_source_identifier_type":"ISSN"}]},"item_4_version_type_25":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田嶋, 拓也"}],"nameIdentifiers":[{"nameIdentifier":"1359","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"60469583","nameIdentifierScheme":"研究者番号","nameIdentifierURI":"https://nrid.nii.ac.jp/nrid/1000060469583"}]},{"creatorNames":[{"creatorName":"長谷川, 遵二郎"}],"nameIdentifiers":[{"nameIdentifier":"66562","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"阿部, 武彦"}],"nameIdentifiers":[{"nameIdentifier":"1325","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"60298320","nameIdentifierScheme":"研究者番号","nameIdentifierURI":"https://nrid.nii.ac.jp/nrid/1000060298320"}]},{"creatorNames":[{"creatorName":"木村, 春彦"}],"nameIdentifiers":[{"nameIdentifier":"187","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"60141371","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=60141371"},{"nameIdentifier":"60141371","nameIdentifierScheme":"研究者番号","nameIdentifierURI":"https://nrid.nii.ac.jp/nrid/1000060141371"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"9999-12-31"}],"displaytype":"detail","filename":"TE-PR-KIMURA-H-15.pdf","filesize":[{"value":"1.0 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"TE-PR-KIMURA-H-15.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/9113/files/TE-PR-KIMURA-H-15.pdf"},"version_id":"ed56ab31-ac51-44fe-823b-9f6b0e0c25bf"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"【エンバーゴ設定中】足底圧力値を用いた歩行者の属性推定手法の開発","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"【エンバーゴ設定中】足底圧力値を用いた歩行者の属性推定手法の開発"},{"subitem_title":"Development of Attribute Classification Method for Pedestrians Using Plantar Pressure Value","subitem_title_language":"en"}]},"item_type_id":"4","owner":"3","path":["936"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-11-09"},"publish_date":"2017-11-09","publish_status":"0","recid":"9113","relation_version_is_last":true,"title":["【エンバーゴ設定中】足底圧力値を用いた歩行者の属性推定手法の開発"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2024-06-20T06:28:10.748870+00:00"}