Presentation 2022-05-27
Experiment for indoor positioning system based on retraining method of signal strength
Masaaki Yamamoto, Hiromitsu Nakagawa, Shigenori Matsumoto, Hiroyuki Kuriyama,
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 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
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
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)