Radar Signal Processing for Elderly Fall Detection The future for in-home monitoring
Radar Signal Processing for Elderly Fall Detection The future for in-home monitoring
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DOI：
10.1109/msp.2015.2502784
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发表时间：
2016-03-01
影响因子：
14.9
通讯作者：
Ho, K. C. (Dominic)
中科院分区：
文献类型：
--
作者：
Amin, Moeness G.;Zhang, Yimin D.;Ho, K. C. (Dominic)
雷达被认为是老年人辅助生活中健康监测和跌倒检测的重要技术，因为它具有许多其他传感方式所不具备的特性。在这篇文章中，我们描述了信号处理算法和技术涉及使用雷达检测老年人跌倒。一个人吗?雷达信号返回的多普勒特征不同，这取决于人类大运动活动的性质。这些信号本质上是非平稳的，需要在线性和双线性方面进行时频分析，在运动识别中发挥基本作用，包括跌倒特征的确定和分类。本文采用真实的跌倒数据来展示现有检测算法的成功，并报告跌倒检测技术发展面临的一些挑战。
Radar is considered an important technology for health monitoring and fall detection in elderly assisted living due to a number of attributes not shared by other sensing modalities. In this article, we describe the signal processing algorithms and techniques involved in elderly fall detection using radar. A human?s radar signal returns differ in their Doppler characteristics, depending on the nature of the human gross motor activities. These signals are nonstationary in nature, inviting time-frequency analysis in both its linear and bilinear aspects, to play a fundamental role in motion identification, including fall features determination and classification. This article employs real fall data to demonstrate the success of existing detection algorithms as well as to report on some of the challenges facing technology developments for fall detection.