{"created":"2023-06-19T10:30:13.205278+00:00","id":10436,"links":{},"metadata":{"_buckets":{"deposit":"ab20f361-57da-47d0-b089-f5c0d4704a69"},"_deposit":{"created_by":18,"id":"10436","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"10436"},"status":"published"},"_oai":{"id":"oai:muroran-it.repo.nii.ac.jp:00010436","sets":["216:316","216:352","216:461","35:492"]},"author_link":["54462","21131","39157","39434"],"item_77_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-22","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"72","bibliographicPageStart":"65","bibliographicVolumeNumber":"70","bibliographic_titles":[{"bibliographic_title":"室蘭工業大学紀要","bibliographic_titleLang":"ja"},{"bibliographic_title":"Memoirs of the Muroran Institute of Technology","bibliographic_titleLang":"en"}]}]},"item_77_description_23":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_77_description_7":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Wi-Fi channel state information (CSI) provides adequate information for recognizing and analyzing human activities. Because of the short distance and low transmit power of Wi-Fi communications, people usually deploy multiple access points (APs) in a small area. Traditional Wi-Fi CSI based human activity recognition methods adopt Wi-Fi CSI from a single AP, which is not so appropriate for a high-density Wi-Fi environment. In this paper, we propose a learning method that analyzes the CSI of multiple APs in a small area to detect and recognize human activities. We introduce a deep learning model to process complex and large CSI information from multiple APs. From extensive experiment results, our method performs better than other solutions in a given environment where multiple Wi-Fi APs exist.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_77_description_8":{"attribute_name":"注記","attribute_value_mlt":[{"subitem_description":"特集","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_77_link_5":{"attribute_name":"室蘭工業大学研究者データベースへのリンク","attribute_value_mlt":[{"subitem_link_text":"李 鶴（LI He）","subitem_link_url":"http://rdsoran.muroran-it.ac.jp/html/200000181_ja.html"},{"subitem_link_text":"太田 香（OTA Kaoru）","subitem_link_url":"http://rdsoran.muroran-it.ac.jp/html/100000140_ja.html"},{"subitem_link_text":"董 冕雄（DONG Mianxiong）","subitem_link_url":"http://rdsoran.muroran-it.ac.jp/html/100000145_ja.html"}]},"item_77_publisher_11":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"室蘭工業大学","subitem_publisher_language":"ja"}]},"item_77_rights_19":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© copyright 2021 室蘭工業大学","subitem_rights_language":"ja"}]},"item_77_source_id_12":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"13442708","subitem_source_identifier_type":"PISSN"}]},"item_77_source_id_14":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11912609","subitem_source_identifier_type":"NCID"}]},"item_77_subject_9":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007","subitem_subject_scheme":"NDC"}]},"item_77_version_type_21":{"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_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open 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(CSI)","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Deep Learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Human Activity Recognition","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Learning Human Activities through Wi-Fi Channel State Information with Multiple Access Points","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Learning Human Activities through Wi-Fi Channel State Information with Multiple Access 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