| Presentation | 2020-03-05 A Study on Indoor Localization for a Multiuser Environment based on Unified Fingerprint of Wi-Fi and Bluetooth Low Energy using Machine Learning Shunsuke Tsuchida, Takumi Takahashi, Shinsuke Ibi, Seiichi Sampei, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, services using geo-location information of smartphones and tablets have been expanding.Although GNSS (Global Navigation Satellite System) is generally utilized for outdoor localization, the estimation accuracy is significantly deteriorated in indoor NLOS (Non-Line Of Site) environments.As a typical indoor localization method, a method based on fingerprints using Received Signal Strength Indicator (RSSI) of Wi-Fi has been widely studied. In this case, the localization accuracy can be improved by installing multiple receivers as observation points and applying appropriate statistical processing to observation values.In this paper, we aim to improve the accuracy of machine learning-assisted localization using large-scale observations by using BLE (Bluetooth Low Energy), in addition to Wi-Fi.Furthermore, observations in multiple user environments are also performed, and the effect of discriminating each individual is confirmed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Indoor Localization / Wi-Fi / BLE / Fingerprint / Machine Learning |
| Paper # | RCS2019-353 |
| Date of Issue | 2020-02-26 (RCS) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2020/3/4(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Tomoaki Otsuki(Keio Univ.) / Masayuki Ariyoshi(NEC) / Satoshi Denno(Okayama Univ.) |
| Vice Chair | Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Keiichi Mizutani(Kyoto Univ.) |
| Secretary | Satoshi Suyama(NTT) / Fumiaki Maehara(Kyushu Univ.) / Toshihiko Nishimura(ATR) / Suguru Kameda(Univ. of Electro-Comm.) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokyo Inst. of Tech.) / Keiichi Mizutani(Anritsu) |
| Assistant | Kazushi Muraoka(NEC) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) / Masaaki Fuse(Anritsu) / Tomoki Murakami(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Indoor Localization for a Multiuser Environment based on Unified Fingerprint of Wi-Fi and Bluetooth Low Energy using Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Indoor Localization |
| Keyword(2) | Wi-Fi |
| Keyword(3) | BLE |
| Keyword(4) | Fingerprint |
| Keyword(5) | Machine Learning |
| 1st Author's Name | Shunsuke Tsuchida |
| 1st Author's Affiliation | Osaka University(Osaka Univ.) |
| 2nd Author's Name | Takumi Takahashi |
| 2nd Author's Affiliation | Osaka University(Osaka Univ.) |
| 3rd Author's Name | Shinsuke Ibi |
| 3rd Author's Affiliation | Doshisha University(Doshisha Univ.) |
| 4th Author's Name | Seiichi Sampei |
| 4th Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2020-03-05 |
| Paper # | RCS2019-353 |
| Volume (vol) | vol.119 |
| Number (no) | RCS-448 |
| Page | pp.pp.177-182(RCS), |
| #Pages | 6 |
| Date of Issue | 2020-02-26 (RCS) |