Detecting Falls with Location Sensors and Accelerometers
Detecting Falls with Location Sensors and Accelerometers
复制标题
使用位置传感器和加速度计检测跌倒
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
M. Gams
中科院分区：
文献类型：
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作者：
M. Luštrek;H. Gjoreski;Simon Kozina;Bozidara Cvetkovic;Violeta Mirchevska;M. Gams
由于人口的快速老龄化，许多老年人护理的技术解决方案正在开发中，通常涉及使用加速度计检测跌倒。我们提出了一种利用位置传感器进行跌倒检测的新方法。在我们的应用程序中，用户在身上佩戴多达四个标签，其位置由无线电传感器检测。这使得识别用户的活动成为可能，包括之后的任何谎言，以及公寓中位置的背景。我们比较了使用位置传感器、加速度计和结合环境的加速度计的跌倒检测。一个由难以识别为跌倒或非跌倒的事件组成的场景被用于比较。与没有上下文的方法相比，使用上下文的方法的准确性高出近40个百分点。单纯基于位置的方法的精度比结合环境的加速度计的精度高出约10个百分点。
Due to the rapid aging of the population, many technical solutions for the care of the elderly are being developed, often involving fall detection with accelerometers. We present a novel approach to fall detection with location sensors. In our application, a user wears up to four tags on the body whose locations are detected with radio sensors. This makes it possible to recognize the user’s activity, including falling any lying afterwards, and the context in terms of the location in the apartment. We compared fall detection using location sensors, accelerometers and accelerometers combined with the context. A scenario consisting of events difficult to recognize as falls or non- falls was used for the comparison. The accuracy of the methods that utilized the context was almost 40 percentage points higher compared to the methods without the context. The accuracy of pure location-based methods was around 10 percentage points higher than the accuracy of accelerometers combined with the context.