Doppler radar sensor has been widely used in noncontact bio-signal monitoring. This paper aims at recovering bio-signals from body movement. To solve the severe phase wrapping and saturation problems in large-scale bo...
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ISBN:
(纸本)9781479985432
Doppler radar sensor has been widely used in noncontact bio-signal monitoring. This paper aims at recovering bio-signals from body movement. To solve the severe phase wrapping and saturation problems in large-scale body movement, as well as unwanted DC offsets and gradual changes of received microwave power problems, curve fitting technology is employed to compensate for the large-scale body movement to recover small-scale bio-signal based on a digital-IF structured, high-dynamic-range Doppler radar sensor and linearized demodulated algorithms. Experimental validations show weak bio-signal hidden in the strong body movement noise can be well extracted.
Utilizing Doppler effect to detect bio-signals of vital signs has been attracting more and more interests. In this paper, we propose a time-domain algorithm for the hand gesture recognition. We introduce an extended d...
详细信息
ISBN:
(纸本)9781467360951
Utilizing Doppler effect to detect bio-signals of vital signs has been attracting more and more interests. In this paper, we propose a time-domain algorithm for the hand gesture recognition. We introduce an extended differentiate and cross-multiply algorithm to solve the null point and the codomain restriction issues in traditional Doppler radar sensors, and retrieve the Doppler bio-signals of a moving hand from the demodulated phase signals based on a configuration of 2 or 3 radar sensors for 2-D or 3-D HGRs. Simulations validate the effectiveness of the proposed approach. Our method is capable of retrieving arbitrary hand movements, making it possible to be used in a wide range of HGR applications.
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