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Context Recognition by Wireless Sensing: A Comprehensive Survey
https://ipsj.ixsq.nii.ac.jp/records/208990
https://ipsj.ixsq.nii.ac.jp/records/208990af0c474b-8390-495e-a300-28499774ed01
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-JNL6201027.pdf (783.8 kB)
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Copyright (c) 2021 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Journal(1) | |||||||||||||||
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| 公開日 | 2021-01-15 | |||||||||||||||
| タイトル | ||||||||||||||||
| タイトル | Context Recognition by Wireless Sensing: A Comprehensive Survey | |||||||||||||||
| タイトル | ||||||||||||||||
| 言語 | en | |||||||||||||||
| タイトル | Context Recognition by Wireless Sensing: A Comprehensive Survey | |||||||||||||||
| 言語 | ||||||||||||||||
| 言語 | eng | |||||||||||||||
| キーワード | ||||||||||||||||
| 主題Scheme | Other | |||||||||||||||
| 主題 | [特集：5G時代の社会を創るモバイル・高度交通システム（招待論文）] context recognition, channel state information, wireless sensing, backscatter | |||||||||||||||
| 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 | journal article | |||||||||||||||
| 著者所属 | ||||||||||||||||
| Graduate School of Information Science and Technology, Osaka University／JST, PRESTO | ||||||||||||||||
| 著者所属 | ||||||||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||||||||
| 著者所属 | ||||||||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||||||||
| 著者所属 | ||||||||||||||||
| NTT Communication Science Laboratories | ||||||||||||||||
| 著者所属 | ||||||||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||||||||
| 著者所属(英) | ||||||||||||||||
| en | ||||||||||||||||
| Graduate School of Information Science and Technology, Osaka University / JST, PRESTO | ||||||||||||||||
| 著者所属(英) | ||||||||||||||||
| en | ||||||||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||||||||
| 著者所属(英) | ||||||||||||||||
| en | ||||||||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||||||||
| 著者所属(英) | ||||||||||||||||
| en | ||||||||||||||||
| NTT Communication Science Laboratories | ||||||||||||||||
| 著者所属(英) | ||||||||||||||||
| en | ||||||||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||||||||
| 著者名 |
Akira, Uchiyama
× Akira, Uchiyama
× Shunsuke, Saruwatari
× Takuya, Maekawa
× Kazuya, Ohara
× Teruo, Higashino
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| 著者名(英) |
Akira, Uchiyama
× Akira, Uchiyama
× Shunsuke, Saruwatari
× Takuya, Maekawa
× Kazuya, Ohara
× Teruo, Higashino
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| 論文抄録 | ||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||
| 内容記述 | Context recognition is a topic that has garnered considerable interest in the ubiquitous and pervasive computing research community. A wide variety of Internet-of-things devices with micro-electromechanical system (MEMS) sensors are used to obtain sensor data (e.g., acceleration, vibration, and sound) related to target contexts. However, devices for context recognition also have limitations such as deployment cost, battery maintenance cost, and the requirement for wearing/carrying the devices. To solve this problem, wireless sensing has attracted the attention of many researchers because it enables device-free and/or maintenance-free context recognition. In this study, we will comprehensively review studies on context recognition by wireless sensing, focusing on WiFi channel state information (CSI), radio-frequency identification (RFID), and backscatter. We will also discuss the design choices of wireless sensing with their pros and cons through a review of the state-of-the-art. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.29(2021) (online) DOI http://dx.doi.org/10.2197/ipsjjip.29.46 ------------------------------ |
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| 論文抄録(英) | ||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||
| 内容記述 | Context recognition is a topic that has garnered considerable interest in the ubiquitous and pervasive computing research community. A wide variety of Internet-of-things devices with micro-electromechanical system (MEMS) sensors are used to obtain sensor data (e.g., acceleration, vibration, and sound) related to target contexts. However, devices for context recognition also have limitations such as deployment cost, battery maintenance cost, and the requirement for wearing/carrying the devices. To solve this problem, wireless sensing has attracted the attention of many researchers because it enables device-free and/or maintenance-free context recognition. In this study, we will comprehensively review studies on context recognition by wireless sensing, focusing on WiFi channel state information (CSI), radio-frequency identification (RFID), and backscatter. We will also discuss the design choices of wireless sensing with their pros and cons through a review of the state-of-the-art. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.29(2021) (online) DOI http://dx.doi.org/10.2197/ipsjjip.29.46 ------------------------------ |
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| 書誌レコードID | ||||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||||
| 収録物識別子 | AN00116647 | |||||||||||||||
| 書誌情報 |
情報処理学会論文誌 巻 62, 号 1, 発行日 2021-01-15 |
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| ISSN | ||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||
| 収録物識別子 | 1882-7764 | |||||||||||||||
