{"created":"2025-01-19T01:18:30.420621+00:00","updated":"2025-01-19T15:16:47.475211+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00218086","sets":["1164:3980:10839:10913"]},"path":["10913"],"owner":"44499","recid":"218086","title":["Human Identification Based On Point Cloud Captured By Small-Size LiDAR"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-05-19"},"_buckets":{"deposit":"24d61ace-b0c7-41f3-9c99-bf8d6a8e1edc"},"_deposit":{"id":"218086","pid":{"type":"depid","value":"218086","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Human Identification Based On Point Cloud Captured By Small-Size LiDAR","author_link":["566355","566354","566353","566352","566351","566350"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Human Identification Based On Point Cloud Captured By Small-Size LiDAR"},{"subitem_title":"Human Identification Based On Point Cloud Captured By Small-Size LiDAR","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"空間情報処理","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-05-19","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Grad. Sch. of Info. Sci. and Tech., Osaka University"},{"subitem_text_value":"Grad. Sch. of Info. Sci. and Tech., Osaka University"},{"subitem_text_value":"Grad. Sch. of Info. Sci. and Tech., Osaka University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Grad. Sch. of Info. Sci. and Tech., Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Grad. Sch. of Info. Sci. and Tech., Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Grad. Sch. of Info. Sci. and Tech., Osaka University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/218086/files/IPSJ-ITS22089038.pdf","label":"IPSJ-ITS22089038.pdf"},"date":[{"dateType":"Available","dateValue":"2024-05-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ITS22089038.pdf","filesize":[{"value":"21.4 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":"37"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"5a68dfc0-c480-4798-aec5-6af0d5f38218","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shota, Yamada"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Rizk, Hamada"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hirozumi, Yamaguchi"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shota, Yamada","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Rizk, Hamada","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hirozumi, Yamaguchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11515904","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8965","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"The demand for safety-enhancing solutions is on the rise, especially due to COVID-19's rapid spread. In order to track infected cases and hence restrict the spread of the virus, real-time life-logging is an essential application. This application highlights the necessity for a precise human identification technique in situations when cameras are not feasible owing to privacy concerns. The potential of the LiDAR sensor to represent the surrounding world in the form of a 3D point cloud has recently gained interest. In this paper, we present a new wearable device with a small-sized LiDAR that may be used to create an onboard human identification system for life-logging. Our proposed system starts with clustering to remove noise and background. Then fisher features are extracted from them. After that, the collected characteristics are utilized to train classifiers to identify the subjects. We conducted two different experiments to evaluate the suggested system. We collected six and thirteen subjects for each experiment. The results show that the proposed system can effectively remove noise and accurately identify subjects with at least 95% accuracy in both experiments.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The demand for safety-enhancing solutions is on the rise, especially due to COVID-19's rapid spread. In order to track infected cases and hence restrict the spread of the virus, real-time life-logging is an essential application. This application highlights the necessity for a precise human identification technique in situations when cameras are not feasible owing to privacy concerns. The potential of the LiDAR sensor to represent the surrounding world in the form of a 3D point cloud has recently gained interest. In this paper, we present a new wearable device with a small-sized LiDAR that may be used to create an onboard human identification system for life-logging. Our proposed system starts with clustering to remove noise and background. Then fisher features are extracted from them. After that, the collected characteristics are utilized to train classifiers to identify the subjects. We conducted two different experiments to evaluate the suggested system. We collected six and thirteen subjects for each experiment. The results show that the proposed system can effectively remove noise and accurately identify subjects with at least 95% accuracy in both experiments.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告高度交通システムとスマートコミュニティ（ITS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-05-19","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"38","bibliographicVolumeNumber":"2022-ITS-89"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":218086,"links":{}}