摘要
设计了一个基于一种新型MEMS传感器MPU6050的老年人跌倒检测系统。利用传感器中集成的2个同轴的加速度和角速度传感器对人体运动行为和姿态进行检测。通过预设阈值,将角速度和加速度变化程度进行综合判断,根据人体静止后姿态进行最终判定。实验证明新型传感器配合新颖算法能获得较高的检测准确率。
This paper designs a fall detection system for elderly based on MPU6050, a new type of MEMS sensor. Using two integrated coaxial sensors, the acceleration sensor and the angular velocity sen- sor, the system can detect human behavior and attitude. By pre - configured threshold, the system may analyze the degree of change of angular velocity and acceleration, and to determine, still according to the human body posture affter a final judgment. The experiments show that the new sensor with the novel al- gorithm can obtain higher detection accuracy.
出处
《工业仪表与自动化装置》
2013年第4期52-55,共4页
Industrial Instrumentation & Automation
