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作 者:向琦 任万春 陈旭 陈芳 周涵 何艳 XIANG Qi;REN Wanchun;CHEN Xu;CHEN Fang;ZHOU Han;HE Yan(School of Information Engineering,Southwest University of Science and Technology,Mianyang 621000,China;Key Laboratory of Robot Technology Used for Special Environment of Sichuan Province,Mianyang 621000,China)
机构地区:[1]西南科技大学信息工程学院,四川绵阳621000 [2]特殊环境机器人技术四川省重点实验室,四川绵阳621000
出 处:《传感器与微系统》2020年第2期79-81,共3页Transducer and Microsystem Technologies
基 金:四川省大学生创新创业训练计划资助项目(S201910619042);四川省科技创新苗子工程资助项目(2017099);西南科技大学大学生创新基金资助项目(CX18—088)
摘 要:以STM32微处理器、GSM短信模块、GPS定位模块等多传感器构成可穿戴式装置;以改进的多阈值判断跌倒算法准确区分跌倒行为与日常活动行为;以物联网技术将系统装置与看护App紧密结合,实现对用户的定位搜索、医院查寻等功能。实验结果表明:该系统能够有效判定跌倒行为并短信报警,借助看护App实现对老人的定位搜索。Wearable devices is composed of STM32 microprocessor,GSM SMS module,GPS positioning module,etc.The improved multi-threshold judgment fall algorithm is used to accurately distinguish the fall behavior from the daily activity behavior,and combines the system device with the nursing App by the IoT technology,realize the functions of locating the user,searching for the hospital.The experimental results show that the system can effectively determine the fall behavior and alarm by SMS,and use the nursing App to realize the localization search for the elderly,which is convenient for timely rescue and has good economic and social effects.
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