CAJ | 학술논문

该文提出一种基于MPU6050的老年人跌倒监测系统。该系统采用MPU6050传感器和STM32微处理器，并通过蓝牙4.0设备将跌倒信息传输到智能手机，手机进行语音报警并将GPS信息通过短信形式通知家人和医院。为区分跌倒事件和日常生活行为，该文设计了一种基于三轴加速度和角度的两次阈值判别算法。实验结果显示：跌倒监测系统能够有效监测跌倒事件并报警，准确率达95%，具有较高的稳定性和可靠性。
해문제출일충기우MPU6050적노년인질도감측계통。해계통채용MPU6050전감기화STM32미처리기，병통과람아4.0설비장질도신식전수도지능수궤，수궤진행어음보경병장GPS신식통과단신형식통지가인화의원。위구분질도사건화일상생활행위，해문설계료일충기우삼축가속도화각도적량차역치판별산법。실험결과현시：질도감측계통능구유효감측질도사건병보경，준학솔체95%，구유교고적은정성화가고성。
This paper proposes a faling detection system based on MPU6050 senor. The system consists of a MPU6050 sensor, a STM32 MCU and a set of Bluetooth 4.0 device: colecting and parsing the faling 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.