Research and Implementation of Two-Layer Fall Detection Algorithm
Tongyue Gao, Yang Jia, Huang Kaida, Hu Qingxuan, Zhao Fengshou · 2018
With the heavily growth of Chinese aging, more and more elderly people are prone to fall accidents due to physical factors such as decreased physical function and reduced responsiveness. Aiming at this phenomenon, this paper combines the multi-threshold fall detection algorithm with the support vector machine classification algorithm, and proposes a two-layer fall detection algorithm based on weight discrimination. The experiment proves that the fusion algorithm has a fast response speed, low false positive rate and high accuracy, which can realize a more rapid and accurate fall alarm, so that the fallen elderly can quickly get medical assistance and reduce the damage caused by the fall.