利用时频特征的基于雷达的坠落检测

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI:10.1109/ChinaSIP.2014.6889337

Luis Ramirez Rivera, Eric Ulmer, Yimin D. Zhang, Wenbing Tao, M. Amin

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引用次数: 32

摘要

老年人跌倒是一个重大的公共卫生问题。本文提出了一种适用于连续波雷达系统的有效跌落检测算法。该算法利用雷达多普勒特征的时频特性，利用三种特征的联合统计对运动事件进行分类。通过实测数据验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Radar-based fall detection exploiting time-frequency features

Falls of the elderly are a major public health concern. In this paper, we develop an effective fall detection algorithm for application in continuous-wave radar systems. The proposed algorithm exploits time-frequency characteristics of the radar Doppler signatures, and the motion events are classified using the joint statistics of three different features. The effectiveness of the proposed technique is verified through measurement data.

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2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)

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