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.

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.

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.

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