• Manisha Ojha
• Dr. Rakesh Rathi

Physical and cognitive health of millions of elderly people is affected by sudden fall. Falling can have dire consequences for the elderly. Fall statistics show the seriousness of the problem: According to the research senior falls lead to over 2.8 million emergency room visits annually. The fall can caused by Diabetes, Insomnia, Anxiety, Depression, Allergies, Bladder problems, Chronic pain, Hypertension Cognitive issues, including Alzheimer's disease etc. But by using medical alert system we can reduce the harmful effect of fall detection. A medical alert system can also give us a greater sense of independence. The impact of fall can be reduced to a great extent by using medical alert systems. Additionally such systems can give a better sense of independence and reduce cost of hiring companions. Due to these reasons many elderly fall alert systems have been proposed. The aim of our project is to design an elderly fall detection system by MEMS. Dynamic Time Warping (DTW) will be used for accurate fall detection. The novelty in our approach is we will procure dataset in normal conditions such as walking, sitting, foot tapping etc and compare it with fall condition to improve efficiency.

Fall Detection, MEMS, Dynamic Time Warping.

"Elderly Fall Detection by MEMS and Dynamic Time Warping.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.825-829, June-2019, Available :http://www.jetir.org/papers/JETIR1907114.pdf

"Elderly Fall Detection by MEMS and Dynamic Time Warping.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp825-829, June-2019, Available at : http://www.jetir.org/papers/JETIR1907114.pdf