| アイテムタイプ |
共通アイテムタイプ(1) |
| 公開日 |
2025-02-05 |
| タイトル |
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|
タイトル |
A Relabeling Approach to Signal Patterns for Beacon-based Indoor Localization in Nursing Care Facility |
|
言語 |
en |
| 著者 |
Garcia, Chrisitina A.
Quynh, N Phuong Vu
Kaneko, Haru
井上, 創造
|
| 著作権関連情報 |
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|
権利情報 |
Copyright (c) 2024 Author |
| 著作権関連情報 |
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|
権利情報Resource |
https://creativecommons.org/licenses/by/4.0/deed.ja |
|
権利情報 |
This article is licensed under a Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/deed.ja |
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
In this study, we estimate the location of caregivers by investigating the signal patterns of detected beacons in different rooms and applying relabeling. Tracking the rooms visited by caregivers is useful to monitor patient and staff assistance. Estimating the visited rooms through the detection of beacons is affected by signal loss resulting in less data. In this study, we investigate the signal patterns in different rooms as the basis for relabeling to use the Received Signal Strength Indicator (RSSI) values from one location as the sample in another location to increase the training set and improve the model accuracy. RSSI-based features are extracted from augmented signal and Random Forest is used for location recognition. Beacon devices were installed in a nursing facility with a frequency setting of 10hz within 5 meters of coverage. The data was collected for 5 days. FonLog, a mobile application is installed in the phone carried by staff in the pocket which is used to gather RSSI readings and log location labels. Training data with increased samples from relabeling based on signal patterns of two rooms achieved an accuracy of 74% which is 5% higher than the performance of the original data. |
|
言語 |
en |
| 備考 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
5th International Conference on Activity and Behavior Computing, ABC2023, September 7 - 9, 2023, Kaiserslautern, Germany (Hybrid) |
|
言語 |
en |
| 書誌情報 |
en : International Journal of Activity and Behavior Computing
巻 2024,
号 1,
p. 1-19,
発行日 2024-05-09
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| 出版社 |
|
|
出版者 |
九州工業大学ケアXDXセンター |
|
言語 |
ja |
| 言語 |
|
|
言語 |
eng |
| 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 |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| DOI |
|
|
|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.60401/ijabc.12 |
| ISSN |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2759-2871 |
| 会議記述 |
|
|
|
会議名 |
5th International Conference on Activity and Behavior Computing, ABC2023 |
|
回次 |
5 |
|
|
開始年 |
2023 |
|
|
開始月 |
09 |
|
|
開始日 |
07 |
|
|
終了年 |
2023 |
|
|
終了月 |
09 |
|
|
終了日 |
09 |
|
開催国 |
DEU |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html |
| 論文ID（連携） |
|
|
値 |
10422667 |
| 連携ID |
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|
値 |
12697 |
10422667.pdf (3.1 MB)
