| Presentation | 2019-05-29 [Poster Presentation] Development of Real-time Body Motion Identification System using Radio Channel Characteristics in Wireless BAN Yuki Ichikawa, Masahiro Mitta, Minseok Kim, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this article, a real-time motion identification system is presented which has been developed based on the knowledge obtained through the authors' previous works. At the beginning, we built up a custom wearable BAN channel measurement system with a commercial off-the-shelf sensor network system, where a radio signal strength between four sensors and coordinator could be measured. After preprocessing of interpolation and standardization for the measured raw data, the features are calculated and adjusted, and then body motion is identified by machine learning algorithm. In machine learning, we reduced the number of features based on the correlation of the temporal variation of data. As a result, we confirmed that the processing time of the data could be kept to the level that could be put to practical use, and verified that body motion could actually be identified in real-time. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | machine learning / feature / decision tree / BAN / radio channel / LQI / motion identification |
| Paper # | RCC2019-7,MICT2019-7 |
| Date of Issue | 2019-05-22 (RCC, MICT) |
| Conference Information | |
| Committee | RCC / MICT |
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| Conference Date | 2019/5/29(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | TOKYO BIG SIGHT |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kazunori Hayashi(Osaka City Univ.) / Shinsuke Hara(Osaka City Univ.) |
| Vice Chair | Shunichi Azuma(Nagoya Univ.) / HUAN-BANG LI(NICT) / Chika Sugimoto(Yokohama National Univ.) / Eisuke Hanada(Saga Univ.) |
| Secretary | Shunichi Azuma(Kagawa Univ.) / HUAN-BANG LI(Osaka Univ.) / Chika Sugimoto(Nagoya Inst. of Tech.) / Eisuke Hanada(Meiji Univ.) |
| Assistant | Toshinori Kagawa(NICT) / Masateru Ogura(NAIST) / Takumi Kobayashi(Yokohama National Univ.) / Shintaro Izumi(Kobe Univ.) / Ami Tanaka(Ritsumeikan Univ.) / Keita Saku(Kyushu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Reliable Communication and Control / Technical Committee on Healthcare and Medical Information Communication Technology |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Development of Real-time Body Motion Identification System using Radio Channel Characteristics in Wireless BAN |
| Sub Title (in English) | |
| Keyword(1) | machine learning |
| Keyword(2) | feature |
| Keyword(3) | decision tree |
| Keyword(4) | BAN |
| Keyword(5) | radio channel |
| Keyword(6) | LQI |
| Keyword(7) | motion identification |
| 1st Author's Name | Yuki Ichikawa |
| 1st Author's Affiliation | Niigata University(Niigata Univ.) |
| 2nd Author's Name | Masahiro Mitta |
| 2nd Author's Affiliation | Niigata University(Niigata Univ.) |
| 3rd Author's Name | Minseok Kim |
| 3rd Author's Affiliation | Niigata University(Niigata Univ.) |
| Date | 2019-05-29 |
| Paper # | RCC2019-7,MICT2019-7 |
| Volume (vol) | vol.119 |
| Number (no) | RCC-58,MICT-59 |
| Page | pp.pp.29-33(RCC), pp.29-33(MICT), |
| #Pages | 5 |
| Date of Issue | 2019-05-22 (RCC, MICT) |