Low-cost Portable Bioradar System for Fall Detection
Lesya N. Anishchenko, Andrey V. Zhuravlev, Vladimir V. Razevig, Margarita A. Chizh · 2019
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.