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Cloud Computing Android System for Posture-Recognition Based Fall Detection Using Big Data Analysis


D. Siva Sankara Reddy and R. Udayakumar
Abstract

There are many different fall-detection systems and methods which were proposed so that you can provide a suitable surveillance for common visitors to maintain high accuracy and specifications. In this paper, a posture-recognition based fall detection system and health monitoring, this is certainly predicated on smart sensors worn from the body that are actually operated through the Home Networks. If you have a top range threshold, any accidental falls happen with a person it could be detected easily using via android device. By gathering the information and knowledge from an accelerometer, cardiotachometer as well as other smart sensors the full time through the fall may be calculated and differentiated from our normal way of life. The prototype regarding the proposed system has been explained in more detail in this paper. This proposed system achieves 99% of accuracy using special sensors like temperature sensor, blood pressure levels monitoring sensor, and cardiotachometer.

Volume 12 | 03-Special Issue

Pages: 733-740

DOI: 10.5373/JARDCS/V12SP3/20201311