An Efficient Fall Detection Method for Elderly Care System

International Journal of Information Technology

S. Sowmyayani ; P. Arockia Jansi Rani

关键词: Pearson correlation coefficient;    motion history image;    human shape identification.;   

DOI  :  10.1999/1307-6892/10010194

学科分类：计算机应用

来源: World Academy of Science, Engineering and Technology (W A S E T)

【 摘 要 】

Fall detection is one of the challenging problems in elderly care system. The objective of this paper is to identify falls in elderly care system. In this paper, an efficient fall detection method is proposed to identify falls using correlation factor and Motion History Image (MHI). The proposed method is tested on URF (University of Rzeszow Fall detection) dataset and evaluated with some efficient measures like sensitivity, specificity, precision and classification accuracy. It is compared with other recent methods. The experimental results substantially proved that the proposed method achieves 1.5% higher sensitivity when compared to other methods.

【 授权许可】

Unknown