@article{ref1,
title="Design of fall detection system for elderly people based on MPU6050 Sensor",
journal="Zhongguo Yi Liao Qi Xie Za Zhi",
year="2015",
author="Liu, Lei and Zheng, Dongxue and Liu, Xiaojun",
volume="39",
number="5",
pages="327-330",
abstract="This paper proposes a falling detection system based on MPU6050 senor. The system consists of a MPU6050 sensor, a STM32 MCU and a set of Bluetooth 4.0 device: collecting and parsing the falling data, transferring the result to a smartphone, the smartphone: receiving the result, alarming the elder's family and hospital. This paper presentes a new judging algorithm based on the threshold of three-axis acceleration and angle deviation of body, in order to differentiate AF and normal daily activity. The result proves that the accuracy of the system is higher than 95%, which strongly highlight the robustness and reliability.<p /> <p>Language: zh</p>",
language="zh",
issn="1671-7104",
doi="",
url="http://dx.doi.org/"
}