Optimal Threshold Selection for Acceleration-Based Fall Detection (CROSBI ID 655111)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šeketa, Goran ; Vugrin, Jurica ; Lacković, Igor
engleski
Optimal Threshold Selection for Acceleration-Based Fall Detection
In this paper we present the results of an experiment with 16 subjects performing activities of daily living and simulated falls. We used a triaxial accelerometer to track the subjects’ movements. From the accelerometer data we calculated five different features that are used for fall detection. Contingency tables were built based on the collected dataset and ROC curves were plotted. Optimal thresholds for every feature and corresponding sensitivities and specificities were calculated based on the ROC curve analysis.
Fall detection, Thresholds, Acceleration, ROC
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Podaci o prilogu
151-155.
2018.
objavljeno
10.1007/978-981-10-7419-6_26
Podaci o matičnoj publikaciji
Precision Medicine Powered by pHealth and Connected Health. IFMBE Proceedings, vol 66.
Maglaveras, Nicos ; Chouvarda, Ioanna ; de Carvalho, Paulo
Singapur: Springer
978-981-10-7418-9
1680-0737
1433-9277
Podaci o skupu
Nepoznat skup
predavanje
29.02.1904-29.02.2096
Povezanost rada
Elektrotehnika