Fall decision algorithm based on changeable velocity SVM threshold
Yongwoon Hwang, Woosung Choi, Huicheol An, Chung Ghiu Lee · 2019
In this paper, we focus on fall decision algorithm using a microcontroller module. We measure multiple sensor data and calculate signal vector magnitude (SVM) of acceleration, angular velocity, and angular variation to decide whether the falling accident occurs or not. We suggest a changeable velocity SVM threshold-based algorithm to implement an algorithm for detecting/deciding fall accidents.