2022 Fiscal Year Final Research Report
Simultaneous Measurement of Multiple Sites of Multiple People for the Monitoring of Physiological Signals and Individual Identification Using Array Radar
| Project/Area Number |
19H02155
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 21030:Measurement engineering-related
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Project Period (FY) |
2019-04-01 – 2023-03-31
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| Keywords | レーダ / アレイ / 信号処理 / 生体信号 |
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| Outline of Final Research Achievements |
In this study, we developed signal processing methods to improve the performance of radar-based human sensing. First, a blind signal separation algorithm using prior knowledge of physiological signals was developed to achieve high-resolution measurements, enabling the identification of human body parts. Next, we developed a high-dimensional clustering method that incorporates the features of respiration to enable simultaneous measurement of multiple people. In addition, a multi-radar sensing technique that integrates signals from multiple radar systems was also developed to solve the shadowing problem that occurs when numerous people are crowded together. The performance of these methods was quantitatively evaluated through radar measurements with the participation of subjects.
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| Free Research Field |
計測工学
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| Academic Significance and Societal Importance of the Research Achievements |
社会のスマート化に伴い、人体モニタリングの重要性が増している。特に、呼吸や心拍といった生体情報は重要で、常時モニタリングすれば、精神状態や疾患の予兆も検知できる。電波による非接触生体計測は、ウェアラブルデバイス等の接触型センサとは異なり、不快感や皮膚アレルギー等の問題がなく、日常的な長期の利用に適している。本研究では、電波による非接触生体計測において、個人識別を応用した複数人体・複数部位の同時計測技術の高精度化・高分解能化を達成する技術を開発した。これらの開発技術は、医療・ヘルスケアのみならず、エンターテインメントや教育など、社会の様々な場面での新サービス創出につながると期待されている。
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