| 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它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。 |
| 关键词: 跌倒检测 MPU6050加速度传感器 SVM GSM模块 HC-06蓝牙模块 |
| DOI： |
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| 基金项目: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 |
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| Design of Fall Detection System Based on MPU605 Acceleration Transducer |
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| Abstract: |
| 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, and then design a falling detection system based on MPU6050 acceleration transducer, which is wearable. It samples users’ acceleration value and transmits to computer through wireless technology (HC-60 Bluetooth). Using MATLAB simulation tool to analyze the acceleration values and find their difference to set 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. |
| Key words: Fall detection MPU6050 Accelerometers SVM GSM HC-60 Bluetooth |