RADAR-BASED FALL DETECTION EXPLOITING TIME-FREQUENCY FEATURES

被引：0
作者：
Rivera, Luis Ramirez [1 ]
Ulmer, Eric [1 ]
Zhang, Yimin D. [2 ]
Tao, Wenbing [3 ]
Amin, Moeness G. [2 ]
机构：
[1] Villanova Univ, Dept Elect & Comp Engn, Villanova, PA 19085 USA
[2] Villanova Univ, Ctr Adv Commun, Villanova, PA 19085 USA
[3] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Peoples R China
来源：
2014 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (CHINASIP) | 2014年
关键词：
Assisted living; fall detection; time-frequency analysis; classification;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：713 / 717
页数：5
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