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Journal Article

Citation

Liu L, Zheng D, Liu X. Zhongguo Yi Liao Qi Xie Za Zhi 2015; 39(5): 327-330.

Copyright

(Copyright © 2015, Guo jia yi yao guan li ju Yi liao qi xie qing bao zhong xin zhan)

DOI

unavailable

PMID

26904872

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.


Language: zh

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