Context Recognition by Wireless Sensing: A Comprehensive Survey
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- Uchiyama Akira
- Graduate School of Information Science and Technology, Osaka University JST, PRESTO
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- Saruwatari Shunsuke
- Graduate School of Information Science and Technology, Osaka University
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- Maekawa Takuya
- Graduate School of Information Science and Technology, Osaka University
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- Ohara Kazuya
- NTT Communication Science Laboratories
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- Higashino Teruo
- Graduate School of Information Science and Technology, Osaka University
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抄録
<p>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.</p>
収録刊行物
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- Journal of Information Processing
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Journal of Information Processing 29 (0), 46-57, 2021
一般社団法人 情報処理学会
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詳細情報
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- CRID
- 1391412881282301952
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- NII論文ID
- 170000184273
- 130007969004
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- NII書誌ID
- AN00116647
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- ISSN
- 18827764
- 18826652
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- IRDB
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可