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http://dx.doi.org/10.7471/ikeee.2014.18.1.134

Fall detection of the elderly through floor vibrations  

Kim, Dong-Wan (Dept. of Information & communication Engineering, Myongji University)
Ryu, Jong-Hyun (Wonkwang University)
Beack, Seung-Hwa (Dept. of Information & communication Engineering, Myongji University)
Publication Information
Journal of IKEEE / v.18, no.1, 2014 , pp. 134-139 More about this Journal
Abstract
According to survey, more than 57.2% of the fall which is the most frequent safety accident of the elders takes place at home. This research aims to verify the fall by measuring and analyzing the floor vibration. And the vibration sensor module was designed with piezo film sensor and operation amplifier. The vibration signals are converted to digital signals through the data acquisition device and vibration sensor module. And then modified the signals into frequency domain to obtain characteristic vibration data. The characteristic signals are verified by K-Nearest Neighbor verification, and experimental results shows the recognition rate 93.6%. Also the fall detection sensor module is useful for extract the meaningful data for fall detection. 10 persons are participated for this experiment.
Keywords
Fall detection; Floor vibrations; Elder; k-NN; Piezo film sensor;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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