| Presentation | 2021-10-15 User Data Selection using CNN Feature Extractor for Fingerprint Localization Yohei Konishi, Satoru Aikawa, Shinichiro Yamamoto, Yuta Sakai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper scopes a method that applies CNN to Fingerprint indoor localization. AP information are used to train the CNN. As the number of AP information with correct labels increases, the estimation accuracy by the CNN improves. However, it costs a lot to collect AP information with correct labels. UD (User Data) can be used to solve the problem. The UD is unlabeled data because the measuring method of the UD does not know the user’s place exactly. We perform semi-supervise assuming the estimation result of the UD as the correct label. However, the estimation result of the UD may be incorrect. Therefore, it is needed to select UD which is correctly estimated and use it for training the CNN. In this study, we propose a way to select UD by feature value using CNN feature extractor. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Fingerprint / indoor localization / CNN / semi-supervised learning |
| Paper # | CS2021-57 |
| Date of Issue | 2021-10-07 (CS) |
| Conference Information | |
| Committee | CS |
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| Conference Date | 2021/10/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Broadband access, Home network, Network service, Communication applications, etc. |
| Chair | Jun Terada(NTT) |
| Vice Chair | Daisuke Umehara(Kyoto Inst. of Tech.) |
| Secretary | Daisuke Umehara(NICT) |
| Assistant | Takahiro Yamaura(Toshiba) / Yuta Ida(Yamaguchi Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Communication Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | User Data Selection using CNN Feature Extractor for Fingerprint Localization |
| Sub Title (in English) | |
| Keyword(1) | Fingerprint |
| Keyword(2) | indoor localization |
| Keyword(3) | CNN |
| Keyword(4) | semi-supervised learning |
| 1st Author's Name | Yohei Konishi |
| 1st Author's Affiliation | University of Hyogo(Univ of Hyogo) |
| 2nd Author's Name | Satoru Aikawa |
| 2nd Author's Affiliation | University of Hyogo(Univ of Hyogo) |
| 3rd Author's Name | Shinichiro Yamamoto |
| 3rd Author's Affiliation | University of Hyogo(Univ of Hyogo) |
| 4th Author's Name | Yuta Sakai |
| 4th Author's Affiliation | University of Hyogo(Univ of Hyogo) |
| Date | 2021-10-15 |
| Paper # | CS2021-57 |
| Volume (vol) | vol.121 |
| Number (no) | CS-198 |
| Page | pp.pp.26-31(CS), |
| #Pages | 6 |
| Date of Issue | 2021-10-07 (CS) |