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Mikrokontroler

Fall Detection on Humans Using Threshold Method Based On Smartphone Accelerometer Data

by Mardi Hardjianto, Jazi Eko Istiyanto, Subanar, Agfianto Eko Putra

AbstractMany fall detection systems are developed using accelerometer and gyroscope on a smartphone. In existing fall detection systems, smartphone location placement is generally selected from the beginning and cannot be repositioned. The movement of smartphone decreases the accuracy of the system. This research provides fall detection model using accelerometer on smartphone and the placement of the smartphone could vary as of six predetermined positions. The method used for fall detection is threshold method applying only one parameter, the value of resultant acceleration.

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