基于FMCW雷达的人体跌倒检测方法研究

摘要：本文介绍了一种基于FMCW雷达的人体跌倒检测方法。首先，通过FMCW雷达获取人体的运动状态，并将信号处理为跌倒事件。然后，利用主成分分析和支持向量机分类器对跌倒事件进行分类。最后，通过实验验证了该方法的有效性和鲁棒性。实验结果表明，该方法可以实现高精度的人体跌倒检测，并具有较强的鲁棒性和实用性。

关键词：FMCW雷达；人体跌倒检测；主成分分析；支持向量机

Abstract: This paper presents a method for detecting human falls based on FMCW radar. First, the motion status of the human body is obtained by FMCW radar, and the signal is processed into a fall event. Then, principal component analysis and support vector machine classifiers are used to classify fall events. Finally, the effectiveness and robustness of the method are verified through experiments. The experimental results show that the method can achieve high-precision human fall detection, and has strong robustness and practicality.

Keywords: FMCW radar; human fall detection; principal component analysis; support vector machine