Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33105
An Efficient Fall Detection Method for Elderly Care System
Authors: S. Sowmyayani, P. Arockia Jansi Rani
Abstract:
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.Keywords: Pearson correlation coefficient, motion history image, human shape identification.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2643710
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