The purpose of this study was to compare the performance of sensor based falls risk assessment algorithms derived from cross- sectional (N=909) and prospective (N=259) datasets in terms of false positive rate.
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An automatic fall detection framework using data fusion of Doppler radar and motion sensor network
This paper describes the ongoing work of detecting falls in independent living senior apartments. We have developed a fall detection system with Doppler radar sensor and implemented ceiling radar in real senior apartments.
Choice stepping reaction time test using exergame technology for fall risk assessment in older people
By Lis Boulton on January 1, 2015 in Epidemiology of falls, Falls and technology related publications
The aim of this study was to examine if a sensor-based Exergame Choice Stepping Reaction Time test can successfully discriminate older fallers from non-fallers.
A study of position independent algorithms for phone-based gait frequency detection
Using sensor data collected from volunteers walking with a smartphone, we examine the effect of using three different time series with the magnitude, weighted sum, and closest vertical component algorithms described in the paper.