| China is the most populous country of the elderly in the world.The population of the elderly is large,as well as the speed of development,the aging and aging are synchronized.The phenomenon of "not rich but old" and "no children but old" is serious,so the problems of the old people caused by disease injury,collision injury and fall injury can not be ignored.The aging of the population poses a severe challenge to the pension system and the medical system in China.Domestic medical resources differ greatly in urban and rural areas,resources are in short supply,facilities operate professionally,and development and maintenance costs are high.As a new information acquisition system,wireless sensor network has the characteristics of portable,easy to deploy and expand,reconfigure and self-organizing.It has made a great contribution in the field of medical research and nursing,as well as the health monitoring,activity,exercise monitoring,drug dosage and diet monitoring of the elderly.This paper focuses on the activity aware technology of the elderly in wireless sensor networks and low power technology for perceptive nodes.The main research work in this paper includes the following aspects:Based on the research of perceptual node hardware and software low power technology and the low power problem in perceptual node,the low power scheme of terminal node is designed.In this paper,the old people’s activity model is set up,and the old people’s activity data acquisition,data denoising technology and data fusion algorithm are used to study the aged people’s active data perception technology in turn.First,data acquisition is carried out.Secondly,Kalman Filter and autoregressive model are combined to analyze and optimize the denoising algorithm.At the same time,the sliding window and Bayesian network classifier are introduced in this paper,and the data of fall and daily activities are compared and analyzed,which can effectively improve the recognition rate and accuracy of the fall.Through studying the low power consumption of perceptive nodes and the active data perception technology of the elderly,as well as meeting the problem that the old people are unable to help themselves for the first time after the fall,this article is adopted the terminal node low power scheme to design and implement the elderly fall detection system based on the wireless sensor network.The system uses sensor data sensing technology and ZigBee wireless communication technology to collect the three axis acceleration and angular velocity data of the daily activities of the old people at the terminal node,and the data is transmitted to the upper computer through the ZigBee network.After data preprocessing,feature extraction and data classification,the upper computer can distinguish the daily activities of the elderly and make an alarm to the abnormal data.The research results in this paper can provide a good theoretical foundation for the application of wireless sensor network technology in the fall detection system for the elderly.Through the in-depth study of this field,the data de-noising algorithm in the data preprocessing stage is optimized,and the accuracy of the fall detection is improved.At the same time,it can improve the medical efficiency and make a practical contribution to the health care of the elderly.It has the value of research and practical value. |
