Research On Elderly People's Behavior Monitoring Technology Based On WSN And Neural Network

The age structure of China's population has begun to enter the ageing stage,which has promoted the rapid development of China's old-age care institutions.However,as the elderly's physical function declines,they are prone to abnormal behavior.When the elderly has an unexpected or abnormal behavior,managers often do not know in time in order to provide help,which brings about potential regulatory risks and potential security risks.How to effectively monitor the behavior of the elderly is a problem.The WSN technology and neural network technology provide a new method for monitoring and recognizing the behavior of the elderly.For the elderly people's behavior can't be monitored effectively,this paper conducts the main research and analysis on the four technologies that are behavior data collection technology,data transmission technology,behavior identification technology,and positioning technology,and compares different implementations of each technology,and analyzes the pros and cons of them.On this basis,an elderly person's behavior monitoring scheme is designed based on the characteristics of elderly person's behavior monitoring.The hardware and software design of the data transmission system are first designed.This part includes the selection of the acceleration sensor chip,the selection of the Zigbee chip,the hardware design of the WSN nodes,determining the relationship between the RSSI and the distance through ranging experiments and simulation analysis and the software design of the WSN node.Then the monitoring platform for the elderly behavior monitoring system is designed.The behavioral classification algorithm and the centroid localization algorithm of the elderly based on the BP neural network are simulated in Matlab.Then these two algorithms are transplanted to C# under the Visual Studio2013 platform.After the monitoring platform receives the behavior data and position data of the elderly,the two algorithms are used to analyze the data.Then the behavior of the elderly and the position of the elderly are displayed in real time on the interface.The abnormal behavior is immediately alerted,and the behavior information and location information of the elderly are stored using the database.Finally,aimed at some defects of the elderly behavior monitoring system based on WSN,an elderly behavior monitoring system based on cloud computing and WSN is proposed and a system architecture is initially designed.The performance of the new system and the traditional system is analyzed and compared.The scheme is verified by simulation and experimental tests.The experimental results show that the scheme designed in this paper can accurately identify the behaviors of the elderly and accurately locate the elderly and meet the requirements for effective monitoring of the elderly in practical applications,which has a certain theoretical and practical significance.