{"created":"2023-06-19T10:29:53.737450+00:00","id":9966,"links":{},"metadata":{"_buckets":{"deposit":"1c4d1382-7d61-496b-9617-d537cbc7a8e2"},"_deposit":{"created_by":18,"id":"9966","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"9966"},"status":"published"},"_oai":{"id":"oai:muroran-it.repo.nii.ac.jp:00009966","sets":["216:316","216:352","216:461","46"]},"author_link":["54462","21131","39157","39434"],"item_79_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-05-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicPageEnd":"129","bibliographicPageStart":"124","bibliographicVolumeNumber":"56","bibliographic_titles":[{"bibliographic_title":"IEEE Communications Magazine","bibliographic_titleLang":"en"}]}]},"item_79_description_23":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_79_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 very appropriate for a high-density Wi-Fi environment. In this article, 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 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_79_link_17":{"attribute_name":"出版者版へのリンク","attribute_value_mlt":[{"subitem_link_text":"10.1109/MCOM.2018.1700083","subitem_link_url":"https://doi.org/10.1109/MCOM.2018.1700083"}]},"item_79_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_79_publisher_11":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE","subitem_publisher_language":"en"}]},"item_79_relation_18":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1109/MCOM.2018.1700083","subitem_relation_type_select":"DOI"}}]},"item_79_rights_19":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.","subitem_rights_language":"en"}]},"item_79_source_id_12":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0163-6804","subitem_source_identifier_type":"PISSN"}]},"item_79_subject_9":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007","subitem_subject_scheme":"NDC"}]},"item_79_version_type_21":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[{}],"affiliationNames":[{},{}]}],"creatorNames":[{"creatorName":"LI, He","creatorNameLang":"en"},{"creatorName":"李, 鶴","creatorNameLang":"ja"},{"creatorName":"リ, ホ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{}],"affiliationNames":[{},{}]}],"creatorNames":[{"creatorName":"OTA,  Kaoru","creatorNameLang":"en"},{"creatorName":"太田, 香","creatorNameLang":"ja"},{"creatorName":"オオタ, カオル","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{}],"affiliationNames":[{},{}]}],"creatorNames":[{"creatorName":"DONG,  Mianxiong","creatorNameLang":"en"},{"creatorName":"トウ, メンユウ","creatorNameLang":"ja-Kana"},{"creatorName":"董, 冕雄","creatorNameLang":"ja"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"GUO, Minyi","creatorNameLang":"en"}],"familyNames":[{}],"givenNames":[{}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-06-26"}],"displaytype":"detail","filename":"IEEECM_56_5_124_129.pdf","filesize":[{"value":"1.3 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"IEEECM_56_5_124_129","objectType":"fulltext","url":"https://muroran-it.repo.nii.ac.jp/record/9966/files/IEEECM_56_5_124_129.pdf"},"version_id":"aac090c9-007c-483e-9ff2-0d69a07c2339"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Wireless fidelity","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Activity recognition","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Machine learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Data structures","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Training","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Data models","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Learning systems","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Behavioral sciences","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Channel state estimation","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":"journal article","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 Points","subitem_title_language":"en"}]},"item_type_id":"79","owner":"18","path":["46","316","352","461"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2019-06-26"},"publish_date":"2019-06-26","publish_status":"0","recid":"9966","relation_version_is_last":true,"title":["Learning Human Activities through Wi-Fi Channel State Information with Multiple Access Points"],"weko_creator_id":"18","weko_shared_id":-1},"updated":"2024-01-26T05:35:36.610760+00:00"}