| Item type |
SIG Technical Reports(1) |
| 公開日 |
2021-05-03 |
| タイトル |
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タイトル |
A Study of Parameter Optimization Method for Fingerprint-based Indoor Localization System Using IEEE 802.15.4 Devices |
| タイトル |
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言語 |
en |
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タイトル |
A Study of Parameter Optimization Method for Fingerprint-based Indoor Localization System Using IEEE 802.15.4 Devices |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
| 著者所属 |
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Okayama University |
| 著者所属 |
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Okayama University |
| 著者所属 |
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Okayama University |
| 著者所属 |
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Okayama University |
| 著者所属 |
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Okayama University |
| 著者所属 |
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Mechanical Engineering, Shonan Institute of Technology |
| 著者所属(英) |
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en |
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Okayama University |
| 著者所属(英) |
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en |
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Okayama University |
| 著者所属(英) |
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en |
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Okayama University |
| 著者所属(英) |
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en |
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Okayama University |
| 著者所属(英) |
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en |
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Okayama University |
| 著者所属(英) |
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en |
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Mechanical Engineering, Shonan Institute of Technology |
| 著者名 |
Yuanzhi, Huo
Pradini, Puspitaningayu
Kazushi, Hamazaki
Nobuo, Funabiki
Minoru, Kuribayashi
Kazuyuki, Kojima
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| 著者名(英) |
Yuanzhi, Huo
Pradini, Puspitaningayu
Kazushi, Hamazaki
Nobuo, Funabiki
Minoru, Kuribayashi
Kazuyuki, Kojima
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| 論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
To achieve the high accuracy while wearing an inexpensive, tiny, and long-life transmitter, we have developed a fingerprint-based indoor localization system. It adopts IEEE802.15.4 devices and restricts the detection granularity to one room in an indoor environment. Unfortunately, wireless signals of the devices often fluctuate due to human movements and other uncontrollable factors. It has been observed that it can be solved by assigning plural fingerprints to one room. However, their values need to be properly selected. In this paper, we study the parameter optimization method for this indoor localization system. An existing parameter optimization tool is employed where the score function is newly defined to estimate the optimality of the current parameters. For evaluations, we apply the method to the measured data using the system in #2 Engineering Building of Okayama University. The results show that the detection accuracy becomes higher than 90% for any room by increasing the number of fingerprints and optimizing the parameter values by the proposal. |
| 論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
To achieve the high accuracy while wearing an inexpensive, tiny, and long-life transmitter, we have developed a fingerprint-based indoor localization system. It adopts IEEE802.15.4 devices and restricts the detection granularity to one room in an indoor environment. Unfortunately, wireless signals of the devices often fluctuate due to human movements and other uncontrollable factors. It has been observed that it can be solved by assigning plural fingerprints to one room. However, their values need to be properly selected. In this paper, we study the parameter optimization method for this indoor localization system. An existing parameter optimization tool is employed where the score function is newly defined to estimate the optimality of the current parameters. For evaluations, we apply the method to the measured data using the system in #2 Engineering Building of Okayama University. The results show that the detection accuracy becomes higher than 90% for any room by increasing the number of fingerprints and optimizing the parameter values by the proposal. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA1155524X |
| 書誌情報 |
研究報告グループウェアとネットワークサービス（GN）
巻 2021-GN-114,
号 4,
p. 1-6,
発行日 2021-05-03
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8744 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-GN21114004.pdf (2.0 MB)
