@article{(Open Science Index):https://publications.waset.org/pdf/10010194,
	  title     = {An Efficient Fall Detection Method for Elderly Care System},
	  author    = {S. Sowmyayani and  P. Arockia Jansi Rani},
	  country	= {},
	  institution	= {},
	  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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {13},
	  number    = {3},
	  year      = {2019},
	  pages     = {173 - 177},
	  ee        = {https://publications.waset.org/pdf/10010194},
	  url   	= {https://publications.waset.org/vol/147},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 147, 2019},