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  1. 論文誌(ジャーナル)
  2. Vol.63
  3. No.2

BAAS: Backscatter as a Sensor for Ultra-Low-Power Context Recognition

https://ipsj.ixsq.nii.ac.jp/records/216383
https://ipsj.ixsq.nii.ac.jp/records/216383
bf3a1f10-cbe0-4c52-a1d6-fe726fd95695
名前 / ファイル ライセンス アクション
IPSJ-JNL6302045.pdf IPSJ-JNL6302045.pdf (3.3 MB)
Copyright (c) 2022 by the Information Processing Society of Japan
オープンアクセス
Item type Journal(1)
公開日 2022-02-15
タイトル
タイトル BAAS: Backscatter as a Sensor for Ultra-Low-Power Context Recognition
タイトル
言語 en
タイトル BAAS: Backscatter as a Sensor for Ultra-Low-Power Context Recognition
言語
言語 eng
キーワード
主題Scheme Other
主題 [特集:ネットワークサービスと分散処理(推薦論文)] wireless sensing, context recognition, backscatter, frequency modulation
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
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
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
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
Graduate School of Information Science and Technology, Osaka University
著者名 Yoshihiro, Nakagawa

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Yoshihiro, Nakagawa

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Toru, Maeda

× Toru, Maeda

Toru, Maeda

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Akira, Uchiyama

× Akira, Uchiyama

Akira, Uchiyama

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Teruo, Higashino

× Teruo, Higashino

Teruo, Higashino

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著者名(英) Yoshihiro, Nakagawa

× Yoshihiro, Nakagawa

en Yoshihiro, Nakagawa

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Toru, Maeda

× Toru, Maeda

en Toru, Maeda

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Akira, Uchiyama

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en Akira, Uchiyama

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Teruo, Higashino

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en Teruo, Higashino

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論文抄録
内容記述タイプ Other
内容記述 Context recognition has attracted attention for various daily life applications. Many existing approaches use micro-electromechanical systems (MEMS) sensors which require additional silicon chips to process and transmit the sensor data. The energy consumption of such components is relatively large, requiring maintenance for charging or replacing batteries. In this paper, we propose BAAS: a novel concept using Backscatter As A Sensor. BAAS recognizes contexts using a frequency shift backscatter tag with ultra-low power consumption. The key components of the backscatter tag are an oscillator and a motion switch. The state of the motion switch changes according to the movement of humans or the change of the situation of things. While the motion switch is on, the energy is supplied to the oscillator, and the frequency of the backscattered signal shifts according to the oscillation frequency of the oscillator. Context recognition is achieved by observing the existence and absence of the frequency shift. To demonstrate the feasibility of context recognition using the backscatter tag, we have implemented a prototype and evaluated its performance. Our results show that we can detect the frequency shift by BAAS within 3m, backscattering BLE signal from an exciter implemented by a commodity device.
------------------------------
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.30(2022) (online)
DOI http://dx.doi.org/10.2197/ipsjjip.30.130
------------------------------
論文抄録(英)
内容記述タイプ Other
内容記述 Context recognition has attracted attention for various daily life applications. Many existing approaches use micro-electromechanical systems (MEMS) sensors which require additional silicon chips to process and transmit the sensor data. The energy consumption of such components is relatively large, requiring maintenance for charging or replacing batteries. In this paper, we propose BAAS: a novel concept using Backscatter As A Sensor. BAAS recognizes contexts using a frequency shift backscatter tag with ultra-low power consumption. The key components of the backscatter tag are an oscillator and a motion switch. The state of the motion switch changes according to the movement of humans or the change of the situation of things. While the motion switch is on, the energy is supplied to the oscillator, and the frequency of the backscattered signal shifts according to the oscillation frequency of the oscillator. Context recognition is achieved by observing the existence and absence of the frequency shift. To demonstrate the feasibility of context recognition using the backscatter tag, we have implemented a prototype and evaluated its performance. Our results show that we can detect the frequency shift by BAAS within 3m, backscattering BLE signal from an exciter implemented by a commodity device.
------------------------------
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.30(2022) (online)
DOI http://dx.doi.org/10.2197/ipsjjip.30.130
------------------------------
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 63, 号 2, 発行日 2022-02-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7764
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