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 MPU 6050 , 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 .
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