| Presentation | 2019-07-11 [Poster Presentation] A Study on Indoor Localization Based on Machine Learning with BLE with Compass Sensor Kodai Tasaki, Takumi Takahashi, Shinsuke Ibi, Seiich Sampei, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper deals with an indoor localization problem based on fingerprint estimation using the received signal strength indication (RSSI) observation of BLE (Bluetooth Low Energy) beacon signals. In fingerprint estimation, a site-survey is conducted in advance to build the radio map which can be used to match radio signatures with specific locations, thus, it can take the impacts of real-environment into consideration. However, even if we utilize omni-directional antennas and the transmitter is on the same position, the distribution of RSSI changes due to the subtle difference in the orientation of the transmitter in real-environment. Under such conditions, the fingerprint-based estimation accuracy is significantly degraded owing to mismatch with the map based on training data. To solve the problem, we consider to capture the pseudo directivity of transmit antenna by using the angular information obtained from the compass sensor that is installed as standard on the multi-functional terminals in fingerpring framework. The estimator is constructed in machine learning based multinomial logistic regression with the RSSI data set. The experimental results show the validity of proposed position estimation algorithm. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Indoor Localization / BLE / Fingerprint / Machine Learning / Angular Information |
| Paper # | RCC2019-29,NS2019-65,RCS2019-122,SR2019-41,SeMI2019-38 |
| Date of Issue | 2019-07-03 (RCC, NS, RCS, SR, SeMI) |
| Conference Information | |
| Committee | SeMI / RCS / NS / SR / RCC |
|---|---|
| Conference Date | 2019/7/10(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | I-Site Nanba（Osaka） |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Communication and Networked Control for the Future Radio of the AI Age, etc |
| Chair | Susumu Ishihara(Shizuoka Univ.) / Tomoaki Otsuki(Keio Univ.) / Yoshikatsu Okazaki(NTT) / Masayuki Ariyoshi(NEC) / Kazunori Hayashi(Osaka City Univ.) |
| Vice Chair | Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Akihiro Nakao(Univ. of Tokyo) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Shunichi Azuma(Nagoya Univ.) / HUAN-BANG LI(NICT) |
| Secretary | Kazuya Monden(Kyoto Univ.) / Koji Yamamoto(NTT DOCOMO) / Satoshi Suyama(Hitachi) / Fumiaki Maehara(NTT) / Toshihiko Nishimura(Kyushu Univ.) / Akihiro Nakao(Osaka Pref Univ.) / Suguru Kameda(NTT) / Osamu Takyu(ATR) / Kentaro Ishidu(Univ. of Electro-Comm.) / Shunichi Azuma(Mie Univ.) / HUAN-BANG LI(Kagawa Univ.) |
| Assistant | Akira Uchiyama(Osaka Univ.) / Kenji Kanai(Waseda Univ.) / Masafumi Hashimoto(Osaka Univ.) / Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Shinya Kumagai(Fujitsu) / Shinya Kawano(NTT) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu) / Kentaro Kobayashi(Nagoya Univ.) / Toshinori Kagawa(NICT) / Masateru Ogura(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Radio Communication Systems / Technical Committee on Network Systems / Technical Committee on Smart Radio / Technical Committee on Reliable Communication and Control |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] A Study on Indoor Localization Based on Machine Learning with BLE with Compass Sensor |
| Sub Title (in English) | |
| Keyword(1) | Indoor Localization |
| Keyword(2) | BLE |
| Keyword(3) | Fingerprint |
| Keyword(4) | Machine Learning |
| Keyword(5) | Angular Information |
| 1st Author's Name | Kodai Tasaki |
| 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 | Seiich Sampei |
| 4th Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2019-07-11 |
| Paper # | RCC2019-29,NS2019-65,RCS2019-122,SR2019-41,SeMI2019-38 |
| Volume (vol) | vol.119 |
| Number (no) | RCC-106,NS-107,RCS-108,SR-109,SeMI-110 |
| Page | pp.pp.93-98(RCC), pp.119-124(NS), pp.115-120(RCS), pp.125-130(SR), pp.107-112(SeMI), |
| #Pages | 6 |
| Date of Issue | 2019-07-03 (RCC, NS, RCS, SR, SeMI) |