{"updated":"2025-01-19T10:42:19.072958+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229493","sets":["6164:6165:11426:11427"]},"path":["11427"],"owner":"44499","recid":"229493","title":["BLEの時系列RSSIに基づく人流クラスタを使用した移動方向と人数の推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-11-16"},"_buckets":{"deposit":"a61acc91-76f0-406a-804c-3069749b6dd7"},"_deposit":{"id":"229493","pid":{"type":"depid","value":"229493","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"BLEの時系列RSSIに基づく人流クラスタを使用した移動方向と人数の推定","author_link":["617202","617198","617200","617199","617201"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"BLEの時系列RSSIに基づく人流クラスタを使用した移動方向と人数の推定"},{"subitem_title":"Estimation of movement direction and number of people using human flow clusters based on BLE time-series RSSI","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Bluetooth Low Energy（BLE）,人流推定,IoT,スマートシティ,機械学習","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2023-11-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学／理化学研究所"},{"subitem_text_value":"奈良先端科学技術大学院大学／理化学研究所"},{"subitem_text_value":"奈良先端科学技術大学院大学／理化学研究所"}]},"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":44499,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/229493/files/IPSJ-CNWS2023003.pdf","label":"IPSJ-CNWS2023003.pdf"},"date":[{"dateType":"Available","dateValue":"2025-11-16"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CNWS2023003.pdf","filesize":[{"value":"1.3 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":"29"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"eba21e8d-46f4-4e90-bb14-cc7cf254c8c0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"後藤, 逸兵"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"上田, 健太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松田, 裕貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"諏訪, 博彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"安本, 慶一"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"都市計画や商業施設の最適化に際し，人流解析は不可欠である．現在，カメラベースの人流解析手法が広く採用されているが，これに伴う高いコストやプライバシーの問題が浮き彫りになっている．これらの問題を解決する新たなアプローチとして，BLE（Bluetooth Low Energy）を活用した手法が多数提案されている．しかし，多くの先行研究は空間の混雑度に重点を置いており，移動方向の分析は十分に行われていない．本研究では，移動方向を捉えるために２台の BLE センサを用いた移動方向（上向き，下向き）を考慮した通行量推定手法を提案する．提案手法では，2 台のセンサから得られる時系列データを基に，データ間の差分を作成しクラスタリングを行い，各クラスタに所属する BLE アドレス数を特徴量として通行量を推定する．本手法の有効性を評価するため，大阪府の御堂筋で実験を行い，5 分単位の通行量の評価を行なった．その結果，クラスタリングを用いた提案手法では，上向き・下向き・全体の通行量に対してそれぞれ平均絶対誤差 20.8，16.3，22.9 で推定できることを示した．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"23","bibliographic_titles":[{"bibliographic_title":"ワークショップ2023 （CN Workshop 2023)　論文集"}],"bibliographicPageStart":"17","bibliographicIssueDates":{"bibliographicIssueDate":"2023-11-16","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:28:40.845701+00:00","id":229493,"links":{}}