Presentation | 2022-05-27 Experiment for indoor positioning system based on retraining method of signal strength Masaaki Yamamoto, Hiromitsu Nakagawa, Shigenori Matsumoto, Hiroyuki Kuriyama, |
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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 system. In this system, a positioning model is generated from the training data measured by smartphones. The model estimates a worker’s position from the test data. 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 developed a positioning system to update the training data according to the holding states and the types of smartphones. We conducted an experiment for three month with 187 employees to evaluate RMSE (Root Mean Square Error) of the positioning system. When using different holding states and the type of smartphone, RMSE of the system was reduced to 2.16 m from 4.45 m. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Indoor positioning / Signal strength / Retraining / Smartphone |
Paper # | SeMI2022-11 |
Date of Issue | 2022-05-19 (SeMI) |
Conference Information | |
Committee | SeMI / IPSJ-DPS / IPSJ-MBL / IPSJ-ITS |
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Conference Date | 2022/5/26(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Koji Yamamoto(Kyoto Univ.) |
Vice Chair | Kazuya Monden(Hitachi) / Yasunori Owada(NICT) |
Secretary | Kazuya Monden(Cyber Univ.) / Yasunori Owada(Waseda Univ.) / (Osaka Univ.) |
Assistant | Yuki Katsumata(NTT DOCOMO) / Akihito Taya(Aoyama Gakuin Univ.) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) |
Paper Information | |
Registration To | Technical Committee on Sensor Network and Mobile Intelligence / Special Interest Group on Distributed Processing System / Special Interest Group on Mobile Computing and Pervasive Systems / 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) | Experiment for indoor positioning system based on retraining method of signal strength |
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 | Hiromitsu Nakagawa |
2nd Author's Affiliation | Hitachi Ltd.(Hitachi) |
3rd Author's Name | Shigenori Matsumoto |
3rd Author's Affiliation | Hitachi Ltd.(Hitachi) |
4th Author's Name | Hiroyuki Kuriyama |
4th Author's Affiliation | Hitachi Ltd.(Hitachi) |
Date | 2022-05-27 |
Paper # | SeMI2022-11 |
Volume (vol) | vol.122 |
Number (no) | SeMI-46 |
Page | pp.pp.49-52(SeMI), |
#Pages | 4 |
Date of Issue | 2022-05-19 (SeMI) |