Fall detection in the older people: from laboratory to real-life
Fall detection in the older people: from laboratory to real-life
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DOI：
10.3176/proc.2014.3.08
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发表时间：
2014-01-01
影响因子：
0.9
通讯作者：
Korpelainen, Raija
中科院分区：
文献类型：
--
作者：
Jamsa, Timo;Kangas, Maarit;Korpelainen, Raija
福尔斯是一个日益严重的问题，人口老龄化，无论是在家庭居住和机构的人。自动跌倒检测系统是支持老年人独立和安全生活的选择。通常，在年轻成年人的实验性福尔斯中测试诸如跌倒检测系统的健康技术应用。然而，最终目标应该是这些系统在最终用户的现实生活条件下的灵敏度和特异性以及可接受性和可用性。本文概述了我们对跌倒检测技术和算法的一系列研究，从实验室实验到长期的实际现场测试。在增量研究中获得的数据表明，自动加速度跌倒检测系统可能会为提高老年人的安全性提供一种工具。需要进一步的研究来进一步提高跌倒检测的灵敏度和降低误报率，并将该技术应用于老年人护理ICT平台。
Falls are an increasing problem of aging population, both in home-dwelling and institutionalized people. Automatic fall detection systems are a choice in supporting the independent and secure living of the older people. Typically, health technology applications such as fall detection systems are tested in experimental falls of young adults. However, sensitivity and specificity, and acceptability and usability of these systems in real-life conditions in end users should be the ultimate aim. This paper overviews our set of studies on the technology and algorithms for fall detection, from laboratory-based experiments to long-term real-life field tests. The data obtained during the incremental set of studies suggest that automatic accelerometric fall detection systems might offer a tool for improving safety among older people. Additional studies are needed for further improvement of fall detection sensitivity and decreasing the false alarm rate, and for the implementation of the technology to elderly care ICT platforms.