微控制器
收发机
计算机科学
嵌入式系统
计算机硬件
模拟
无线
电信
作者
Lesya Anishchenko,Andrey Zhuravlev,Vladimir Razevig,Margarita Chizh
标识
DOI:10.1109/piers-spring46901.2019.9017773
摘要
Lack of effective non-contact ways for fall detection, which may result in development of health-threatening and life-threatening conditions, is a great problem of modern medicine, and in particular, geriatrics. In present work, we propose a concept of a low-cost portable fall detection framework utilizing bioradar technique for smart home environment. The bioradar was designed using a single-chip transceiver K-LC5 (RFbeam), a customized amplifier, a 16-bit precision ADC and a microcontroller. It was tested in experimental conditions with the help of 5 volunteers. We achieved accuracy of 97% and the Cohen's kappa of 89% for classifying fall episodes among other daily activities.
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