2023 Fiscal Year Final Research Report
Crowd Behavior Estimation Utilizing Sensing Information and Radio Propagation Characteristics
| Project/Area Number |
18K11278
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 60060:Information network-related
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| Research Institution | Sophia University |
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Principal Investigator |
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| Project Period (FY) |
2018-04-01 – 2024-03-31
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| Keywords | 無線LAN / チャネル状態情報 / センシング / 機械学習 |
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| Outline of Final Research Achievements |
The crowd behavior estimation comprises various estimations related to the position, action state such as walking and running, and movement direction. I use the channel state information (CSI), which represents the multipath propagation state, for the estimation method. When the CSI is used as a sensor, people do not have to carry communication devices such as smartphones, resulting in a device-free environment. Using CSI, I established the estimation algorithm and the measurement environment, such as the number of antennas and their locations, to estimate position, action state, and movement direction to achieve high accuracy.
As an application example using CSI, I examined the following: the material estimation, the water level estimation, the rotation speed measurement, and the dryness estimation for laundry, etc. I established the estimation technique for applying the person and the thing.
I surveyed the standardization activity of wireless LAN sensing, called IEEE802.1bf.
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| Free Research Field |
無線通信工学
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| Academic Significance and Societal Importance of the Research Achievements |
チャネル状態情報（CSI）を活用して，群衆行動に関わる位置，行動状態，移動方向を高精度に推定するための，アンテナ数や設置方法などの測定条件や推定アルゴリズムを確立したこと．さらに，CSIによるセンシングの応用例を探るために，モノを対象として，物質推定，水位推定，回転数測定，洗濯物の乾燥度推定などの幅広い適用例を示し上で，高精度に推定するための手法を確立したことが，学術的意義や社会的意義がある．
さらに，無線LANセンシング（IEEE802.11bf）に関する標準化動向を調査し，学会などで発表したことが社会的意義がある．
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