| Presentation | 2021-05-27 Retraining method of signal strength based model for indoor positioning Masaaki Yamamoto, Hiroyuki Kuriyama, Kenji Nagamatsu, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Covid-19 is continuing to spread around the world. Office workers therefore work in several sites to balance work and prevetation of its. A positioning system for estimating worker’s positions is attracting considerable attention. Given this background, we propose a machine-learning based positioning method. In this method, a positioning model is generated from the training data measured by smartphones. The model estimates a worker’s position from the test data measrured by worker’s smartphone. When the training data and the test data were measured by using different types of smartphones, a positioning error increased. In addition, a different holding state of smartphone increased the error, too. To reduce the error, we propose a method to update the training data according to the holding states and the types of smartphones.The evaluation of the proposed method was done with RMSE (Root Mean Square Error) as a metric. When using different holding states and the type of smartphone, RMSE of the method was reduced to 2.6 to 3.0m. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Indoor positioning / Signal Strength / Retraining / Smartphone |
| Paper # | SeMI2021-1 |
| Date of Issue | 2021-05-20 (SeMI) |
| Conference Information | |
| Committee | SeMI / IPSJ-MBL / IPSJ-DPS / IPSJ-ITS |
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| Conference Date | 2021/5/27(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Susumu Ishihara(Shizuoka Univ.) |
| Vice Chair | Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) |
| Secretary | Kazuya Monden(Kyoto Univ.) / Koji Yamamoto(Cyber Univ.) / (Hitachi) / (Waseda Univ.) |
| Assistant | Yuki Katsumata(NTT DOCOMO) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) / Akira Uchiyama(Osaka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Sensor Network and Mobile Intelligence / Special Interest Group on Mobile Computing and Pervasive Systems / Special Interest Group on Distributed Processing System / Special Interest Group on Intelligent Transport Systems and Smart Community |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Retraining method of signal strength based model for indoor positioning |
| Sub Title (in English) | |
| Keyword(1) | Indoor positioning |
| Keyword(2) | Signal Strength |
| Keyword(3) | Retraining |
| Keyword(4) | Smartphone |
| 1st Author's Name | Masaaki Yamamoto |
| 1st Author's Affiliation | Hitachi, Ltd.(Hitachi) |
| 2nd Author's Name | Hiroyuki Kuriyama |
| 2nd Author's Affiliation | Hitachi, Ltd.(Hitachi) |
| 3rd Author's Name | Kenji Nagamatsu |
| 3rd Author's Affiliation | Hitachi, Ltd.(Hitachi) |
| Date | 2021-05-27 |
| Paper # | SeMI2021-1 |
| Volume (vol) | vol.121 |
| Number (no) | SeMI-41 |
| Page | pp.pp.1-4(SeMI), |
| #Pages | 4 |
| Date of Issue | 2021-05-20 (SeMI) |