Technical Name 利用環境Wi-Fi訊號進行感測之防疫用途非接觸健康監測系統
Project Operator National Sun Yat-Sen University
Project Host 洪子聖
Summary An IOT sensor was presented to detect human motionvital signs with Wi-Fi signals. It mainly combines MIMO beamforming, injection-locking radarmachine learning techniques to recognizetrack physicalphysiological activities for health status monitoring. As a proof of concept for pandemic prevention, the presented sensor aims to inspect whether someone is exhibiting signssymptoms of COVID-19 infection within the Wi-Fi coverage area, such as fatigue, cough, shortness of breathirregular heart rhythm,even to detect sudden death.
Technical Film
Scientific Breakthrough The breakthrough of this technology is to transform the correlation process in a conventional passive radar from baseband software processing to RF hardware processing. The use of invented injection-locking radar is the key to enable this breakthrough. Since this technology does not have the drawbacks of the conventional passive radar that require a lot of computing resources, it is therefore suitable for low-power IOT sensor applications. Furthermore, it can be combined with MIMO beamformingmachine learning to detect human activities with Wi-Fi signals for identifying the health status.
Industrial Applicability Taiwan leads the world in the manufacture of Wi-Fi-related productshas a strong medical infrastructure. Taiwan is now facing a serious threat of COVID-19 transmission at community level. Therefore, if this Wi-Fi-based sensing technology can be used to develop a non-contact health monitoring system that can inspect whether someone is exhibiting signssymptoms of COVID-19 infection within the Wi-Fi coverage area, it can not only make an important contribution to Taiwan's pandemic prevention actions, but also enhance the innovative imageadded value of Taiwan's communication products.
Matching Needs 天使投資人、策略合作夥伴
Keyword Injection-locking radar Wi-Fi-based sensing Non-contact sensing Vital sign sensing Health monitoring Pandemic prevention Telemedicine Home healthcare Internet of things Artificial intelligence
Notes
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  • 蘇瑋智
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