基于MPU6050的老年人跌倒监测系统设计

摘要

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。%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.