{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233966","sets":["1164:3865:11476:11605"]},"path":["11605"],"owner":"44499","recid":"233966","title":["WiFiセンシングにおけるAP配置およびアンテナ角度最適化のための簡易学習データ取得"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-05-08"},"_buckets":{"deposit":"790a4473-b5f5-4158-9a9c-944bef6cfe1c"},"_deposit":{"id":"233966","pid":{"type":"depid","value":"233966","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"WiFiセンシングにおけるAP配置およびアンテナ角度最適化のための簡易学習データ取得","author_link":["636682","636679","636680","636683","636678","636684","636677","636681"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"WiFiセンシングにおけるAP配置およびアンテナ角度最適化のための簡易学習データ取得"},{"subitem_title":"Reducing Cost of Access Point Calibration for WiFi Sensing Using Subset of Classification Task","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[SeMI] 2","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-05-08","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"青山学院大学理工学部情報テクノロジー学科"},{"subitem_text_value":"神奈川工科大学情報学部"},{"subitem_text_value":"東京大学生産技術研究所"},{"subitem_text_value":"青山学院大学理工学部情報テクノロジー学科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Integrated Information Technology, Aoyama Gakuin University","subitem_text_language":"en"},{"subitem_text_value":"Kanagawa Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Institute of Industrial Science, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Department of Integrated Information Technology, Aoyama Gakuin University","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/233966/files/IPSJ-MBL24111045.pdf","label":"IPSJ-MBL24111045.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MBL24111045.pdf","filesize":[{"value":"2.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"35"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"7e77e998-6de3-4ed9-a5e8-8ade62746970","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山崎, 大地"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川喜田, 佑介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田谷, 昭仁"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"戸辺, 義人"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Taichi, Yamazaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuusuke, Kawakita","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Akihito, Taya","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yoshito, Tobe","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10116224","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":"2188-8817","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"WiFi のチャネル情報（CSI：Channel State Information）を利用して行動認識や位置推定などを行う WiFi センシングの研究が進められている．CSI はアンテナ送受信間の電波伝搬特性を表したものであるため，AP（Access Point）の配置やアンテナ角度に依存して変化する．そのため，推論精度を向上するためには AP 配置やアンテナ角度を最適化する必要があるが，機械学習ベースの WiFi センシングではそれぞれの AP 配置，アンテナ角度について訓練データが必要になり，データ取得コストが膨大になる．本稿では，学習用データ取得コスト削減のため，本来学習したい分類タスクに対してクラス数を一部に制限した小規模な分類タスクを利用する RCAL（Reduction of CALibration cost）を提案する．評価実験では，RCAL を用いて削減されたクラス数を分類タスクと全クラスの分類タスクで AP 配置とアンテナ角度ごとの行動認識の分類精度に相関があり，RCAL による最適化が可能なことが示された．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"WiFi sensing has gained attention as a candidate method of activity recognition and indoor positioning. Channel state information (CSI), which is utilized in WiFi sensing, varies if access point (AP) positions and their antenna orientations change because CSI reflects the physical property of radio propagation between the transmitter and receiver. Therefore, the AP positions and their antenna orientations should be optimized for better prediction accuracy. However, in machine-learning-based WiFi sensing, the cost of obtaining training data tends to increase because the training data is required for all pairs of AP positions and antenna orientations. To solve this problem, we propose a method named reduction of calibration cost (RCAL), which reduces the number of classes to be classified in the calibration phase so that the total calibration time decreases. We conducted activity recognition experiments to validate that RCAL can select the pair of AP position and antenna orientation without significant degradation of prediction accuracy even with the lower calibration cost.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告モバイルコンピューティングと新社会システム（MBL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-05-08","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"45","bibliographicVolumeNumber":"2024-MBL-111"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:35:39.111749+00:00","updated":"2025-01-19T09:55:19.280636+00:00","id":233966}