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基于GSM网络的老年人身体姿态检测系统设计
引用本文:徐雷,张瑾,马腾,李荣,徐国政. 基于GSM网络的老年人身体姿态检测系统设计[J]. 电子工程师, 2014, 0(6): 65-69
作者姓名:徐雷  张瑾  马腾  李荣  徐国政
作者单位:南京邮电大学自动化学院,南京210023
基金项目:基金项目:国家自然科学基金资助项目(61305095)
摘    要:论文设计了一套基于GSM(Global system for mobile communication,GSM)网络的老年人身体姿态检测系统,该系统以Cortex-M3系列STM32芯片为控制器模块、MMA7361加速度传感器为姿态检测模块、ATK-NEO-6M GPS为位置定位模块、GTM900C为信息发送模块,并运用卡尔曼滤波和支持向量机算法检测老年人跌倒行为。实验结果表明,该系统能准确判断人体正常活动与跌倒事件,能自动定位并发送短消息。

关 键 词:GSM网络  姿态检测  定位模块

Design of Body Posture Detection System for the Elderly Based on GSM Network
Xu Lei,Zhang Jin,Ma Teng,Li Rong,Xu Guozheng. Design of Body Posture Detection System for the Elderly Based on GSM Network[J]. Electronic Engineer, 2014, 0(6): 65-69
Authors:Xu Lei  Zhang Jin  Ma Teng  Li Rong  Xu Guozheng
Affiliation:(School of Automation, Nanjing University of Posts and Telecommunications, Nanjing210023, China)
Abstract:A body posture detection system for the elderly people based on GSM network was designed in this paper. The system consisted of STM32 core controller belong to Cortex-M3, posture detection module u sing MMA7361 acerbated sensor, global positioning system using ATK-NEO-6M GPS module and text message transmission module. In addition, falling detection was applied. Experimental results indicate that the algorithm using Kalman filter and support vector machine system can accurately detect the normal and falling events,and automatically transmit text message.
Keywords:GSM network  posture detection  positioning system
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