| Presentation | 2019-01-16 Prediction of Position for Mobile Objects based on BLE Signals and Machine Learning Nan Toma, Arata Sashida, Hideki Kinjo, Morikazu Nakamura, Akira Sakima, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper presents indoor positioning systems based on BLE signals and machine learning approaches. We consider two systems in this paper, one where we locate multiple beacon signal receivers at fixed points while target objects hold a beacon device and the other where we set multiple beacons at fixed locations and target objects hold a receiver. We employ the random forest algorithm and the XGBoost as machine learning. Experimental evaluation shows our approaches perform very well and keep good precisions even though target objects move with walking speeds and there exist some obstacles for beacon signals' receiving. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Positioning System / BLE / Machine Learning / Random Forest / XGBoost |
| Paper # | MSS2018-76,SS2018-47 |
| Date of Issue | 2019-01-08 (MSS, SS) |
| Conference Information | |
| Committee | MSS / SS |
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| Conference Date | 2019/1/15(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Morikazu Nakamura(Univ. of Ryukyus) / Akio Nakata(Hiroshima City Univ.) |
| Vice Chair | Shigemasa Takai(Osaka Univ.) / Takashi Kobayashi(Tokyo Inst. of Tech.) |
| Secretary | Shigemasa Takai(Toshiba) / Takashi Kobayashi(Osaka Univ.) |
| Assistant | Hideki Kinjo(Okinawa Univ.) / Shinpei Hayashi(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Mathematical Systems Science and its applications / Technical Committee on Software Science |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Prediction of Position for Mobile Objects based on BLE Signals and Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Positioning System |
| Keyword(2) | BLE |
| Keyword(3) | Machine Learning |
| Keyword(4) | Random Forest |
| Keyword(5) | XGBoost |
| 1st Author's Name | Nan Toma |
| 1st Author's Affiliation | University of the Ryukyus(Univ. of the Ryukyus) |
| 2nd Author's Name | Arata Sashida |
| 2nd Author's Affiliation | University of the Ryukyus(Univ. of the Ryukyus) |
| 3rd Author's Name | Hideki Kinjo |
| 3rd Author's Affiliation | Okinawa University(Okinawa Univ.) |
| 4th Author's Name | Morikazu Nakamura |
| 4th Author's Affiliation | University of the Ryukyus(Univ. of the Ryukyus) |
| 5th Author's Name | Akira Sakima |
| 5th Author's Affiliation | Kuniken Systems(Kuniken Systems) |
| Date | 2019-01-16 |
| Paper # | MSS2018-76,SS2018-47 |
| Volume (vol) | vol.118 |
| Number (no) | MSS-384,SS-385 |
| Page | pp.pp.121-125(MSS), pp.121-125(SS), |
| #Pages | 5 |
| Date of Issue | 2019-01-08 (MSS, SS) |