摘要
分析不同年龄段老年人行为和跌倒状态变化(SVM)和姿态特征变化(姿态角),设计一种基于加速度传感器的跌倒检测系统。使用MPU6050加速度传感器,通过无线传输(HC-06蓝牙模块)将采集到的数据传输到PC机上保存。通过MATLAB辅助分析采集的不同年龄段老年人各种行为数据的差异性,为不同年龄段老年人设置不同的跌倒检测阈值。仿真实验证明对不同年龄段的老年人设置不同跌倒检测阈值的跌倒检测算法与其他同一类型的跌倒检测算法相比有到更高的准确率和实用性。
Through analyzing the change of the motion state（ SVM） and the attitude features of different stage of elderly people＇s activities of daily life and falling down,a falling detection system is designed based on MPU6050 acceleration transducer,which is wearable. It samples users＇ acceleration values and transmits to computer through wireless technology（ HC-60 Bluetooth）. Using MATLAB simulation tool to analyze the acceleration values and find their difference sets up different fall detection threshold with different stage of elderly people. Finally,experimental results show that the algorithm of setting different falling detection threshold to different ages has a higher accuracy and practicability.
出处
《电子器件》
CAS
北大核心
2015年第4期821-825,共5页
Chinese Journal of Electron Devices
基金
基于物联网技术的呼吸
脉博异变及跌落的实时监测与报警的关键技术研究项目(61171190)
