@article{(Open Science Index):https://publications.waset.org/pdf/12813,
	  title     = {State of the Art: A Study on Fall Detection},
	  author    = {Goh Yongli and  Ooi Shih Yin and  Pang Ying Han},
	  country	= {},
	  institution	= {},
	  abstract     = {Unintentional falls are rife throughout the ages and
have been the common factor of serious or critical injuries especially
for the elderly society. Fortunately, owing to the recent rapid
advancement in technology, fall detection system is made possible,
enabling detection of falling events for the elderly, monitoring the
patient and consequently provides emergency support in the event of
falling. This paper presents a review of 3 main categories of fall
detection techniques, ranging from year 2005 to year 2010. This
paper will be focusing on discussing the techniques alongside with
summary and conclusion for them.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {6},
	  number    = {2},
	  year      = {2012},
	  pages     = {192 - 196},
	  ee        = {https://publications.waset.org/pdf/12813},
	  url   	= {https://publications.waset.org/vol/62},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 62, 2012},
	}