Chuan Zheng, T. Hu, S. Qiao, Yongzhi Sun, J. Huangfu, L. Ran
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引用次数: 15
Abstract
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.
利用多普勒效应检测生命体征的生物信号已引起越来越多的关注。本文提出了一种用于手势识别的时域算法。我们引入了一种扩展的微分和交叉相乘算法来解决传统多普勒雷达传感器中的零点和上域限制问题，并基于2或3个雷达传感器配置的2- d或3- d hgr，从解调的相位信号中检索运动手的多普勒生物信号。仿真结果验证了该方法的有效性。我们的方法能够检索任意的手部运动，使其有可能在广泛的HGR应用中使用。
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