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Learning Human Activities through Wi-Fi Channel State Information with Multiple Access Points
http://hdl.handle.net/10258/00010377
http://hdl.handle.net/10258/00010377d2241bb9-4052-4b3f-ab6b-8ad3ee84ab46
名前 / ファイル | ライセンス | アクション |
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70_65 (1.1 MB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||||||||||||||||||||
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公開日 | 2021-03-22 | |||||||||||||||||||||||
タイトル | ||||||||||||||||||||||||
言語 | en | |||||||||||||||||||||||
タイトル | Learning Human Activities through Wi-Fi Channel State Information with Multiple Access Points | |||||||||||||||||||||||
言語 | ||||||||||||||||||||||||
言語 | eng | |||||||||||||||||||||||
キーワード | ||||||||||||||||||||||||
言語 | en | |||||||||||||||||||||||
主題Scheme | Other | |||||||||||||||||||||||
主題 | Wi-Fi Channel State Information (CSI) | |||||||||||||||||||||||
キーワード | ||||||||||||||||||||||||
言語 | en | |||||||||||||||||||||||
主題Scheme | Other | |||||||||||||||||||||||
主題 | Deep Learning | |||||||||||||||||||||||
キーワード | ||||||||||||||||||||||||
言語 | en | |||||||||||||||||||||||
主題Scheme | Other | |||||||||||||||||||||||
主題 | Human Activity Recognition | |||||||||||||||||||||||
資源タイプ | ||||||||||||||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||||||||
資源タイプ | departmental bulletin paper | |||||||||||||||||||||||
アクセス権 | ||||||||||||||||||||||||
アクセス権 | open access | |||||||||||||||||||||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||||||||||||||
著者 |
李, 鶴
× 李, 鶴
WEKO
54462
× 太田, 香
WEKO
21131
× 董, 冕雄
WEKO
39157
× GUO, Minyi |
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室蘭工業大学研究者データベースへのリンク | ||||||||||||||||||||||||
李 鶴(LI He) | ||||||||||||||||||||||||
http://rdsoran.muroran-it.ac.jp/html/200000181_ja.html | ||||||||||||||||||||||||
室蘭工業大学研究者データベースへのリンク | ||||||||||||||||||||||||
太田 香(OTA Kaoru) | ||||||||||||||||||||||||
http://rdsoran.muroran-it.ac.jp/html/100000140_ja.html | ||||||||||||||||||||||||
室蘭工業大学研究者データベースへのリンク | ||||||||||||||||||||||||
董 冕雄(DONG Mianxiong) | ||||||||||||||||||||||||
http://rdsoran.muroran-it.ac.jp/html/100000145_ja.html | ||||||||||||||||||||||||
抄録 | ||||||||||||||||||||||||
内容記述タイプ | Abstract | |||||||||||||||||||||||
内容記述 | 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. | |||||||||||||||||||||||
言語 | en | |||||||||||||||||||||||
書誌情報 |
ja : 室蘭工業大学紀要 en : Memoirs of the Muroran Institute of Technology 巻 70, p. 65-72, 発行日 2021-03-22 |
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注記 | ||||||||||||||||||||||||
内容記述タイプ | Other | |||||||||||||||||||||||
内容記述 | 特集 | |||||||||||||||||||||||
言語 | ja | |||||||||||||||||||||||
出版者 | ||||||||||||||||||||||||
言語 | ja | |||||||||||||||||||||||
出版者 | 室蘭工業大学 | |||||||||||||||||||||||
日本十進分類法 | ||||||||||||||||||||||||
主題Scheme | NDC | |||||||||||||||||||||||
主題 | 007 | |||||||||||||||||||||||
ISSN | ||||||||||||||||||||||||
収録物識別子タイプ | PISSN | |||||||||||||||||||||||
収録物識別子 | 13442708 | |||||||||||||||||||||||
書誌レコードID | ||||||||||||||||||||||||
収録物識別子タイプ | NCID | |||||||||||||||||||||||
収録物識別子 | AA11912609 | |||||||||||||||||||||||
権利 | ||||||||||||||||||||||||
言語 | ja | |||||||||||||||||||||||
権利情報 | © copyright 2021 室蘭工業大学 | |||||||||||||||||||||||
著者版フラグ | ||||||||||||||||||||||||
出版タイプ | VoR | |||||||||||||||||||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||||||||
フォーマット | ||||||||||||||||||||||||
内容記述タイプ | Other | |||||||||||||||||||||||
内容記述 | application/pdf |