| Presentation | 2022-03-02 Classification of human activities by a polarimetric remote sensing system based on quaternion self-organizing map Ryogo Saito, Naoshi Sugawara, Ryo Natsuaki, Akira Hirose, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a polarimetric remote sensing system to classify daily movements of humans such as walking and standing. We expect that anomaly in the body is detected by using electromagnetic waves and neural networks not only from biological information such as human heartbeat and respiration, but also from daily movements. The feature of this study is to acquire the Stokes vector corresponding Poincare vector as time series from the signals obtained by transmitting and receiving polarized electromagnetic wave, and to classify the human body movement with a quaternion self-organizing map (QSOM). We obtain the time-series information of polarization for various movements to analyze the changes in the polarization states in each movement. Then, we classify the human body movements adaptively by QSOM. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Self-organizing map(SOM) / polarization / quaternion nural network(QNN) |
| Paper # | NC2021-57 |
| Date of Issue | 2022-02-23 (NC) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2022/3/2(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.) |
| Vice Chair | Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo) |
| Secretary | Junichi Hori(Osaka Electro-Communication Univ) / Hiroshi Yamakawa(ATR) |
| Assistant | Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Classification of human activities by a polarimetric remote sensing system based on quaternion self-organizing map |
| Sub Title (in English) | |
| Keyword(1) | Self-organizing map(SOM) |
| Keyword(2) | polarization |
| Keyword(3) | quaternion nural network(QNN) |
| 1st Author's Name | Ryogo Saito |
| 1st Author's Affiliation | The University of Tokyo(Univ. Tokyo) |
| 2nd Author's Name | Naoshi Sugawara |
| 2nd Author's Affiliation | The University of Tokyo(Univ. Tokyo) |
| 3rd Author's Name | Ryo Natsuaki |
| 3rd Author's Affiliation | The University of Tokyo(Univ. Tokyo) |
| 4th Author's Name | Akira Hirose |
| 4th Author's Affiliation | The University of Tokyo(Univ. Tokyo) |
| Date | 2022-03-02 |
| Paper # | NC2021-57 |
| Volume (vol) | vol.121 |
| Number (no) | NC-390 |
| Page | pp.pp.56-61(NC), |
| #Pages | 6 |
| Date of Issue | 2022-02-23 (NC) |