摘要
设计并实现了一种基于NB-IoT通信与定位的多用户跌倒检测系统。通过体佩加速度传感器实时检测用户的行为特征,采用SVM阈值判断法与欧拉角辅助判断相结合的算法进行跌倒行为判断,通过NB-IoT技术实现跌倒数据和定位数据的上传,最终构建了一种可以支持多用户异常跌倒检测的完整系统。实际测试表明,该系统能够满足功能要求,有应用推广价值。
A kind of multi-user fall detection s ystem based on NB-IoT communication and location is designed and implemented in this paper. Through the real-time detection of user’s behavior characteristics by wearing accelerometer, certain fall behavior is judged by combination of SVM threshold judgment method and Euler angle assistant judgment algorithm, and report of fall data and location data is realized by NB-IoT technology. Finally, a complete system which can support multi-user abnormal fall detection is constructed. Through actual test, it is proved that the system developed in this paper can meet the functional requirements, and is simple to implement with low cost and broad application prospect.
作者
张美燕
徐松松
曽子芹
张炎
陈磊
叶浩凯
ZHANG Mei-yan;XU Song-song;ZENG Zi-qin;ZHANG Yan;CHEN Lei;YE Hao-kai(College of Electrical Engineering,Zhejiang University of Water Resources and Electric Power,Hangzhou 310018,China)
出处
《浙江水利水电学院学报》
2019年第1期73-77,共5页
Journal of Zhejiang University of Water Resources and Electric Power
基金
浙江省新苗计划项目(2018R423009)
