Presentation 2021-05-27
Retraining method of signal strength based model for indoor positioning
Masaaki Yamamoto, Hiroyuki Kuriyama, Kenji Nagamatsu,
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
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
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)