Fall Detection System Design And Implementation

Today,the total population of China is about 1.4 billion people,ranking first in the world.Due to historical reasons and social reality,China's population is large and the ageing of the population is very serious.According to the relevant information and data,the proportion of the elderly population in China is showing a year-on-year growth,and the total share is also increasing,and the elderly population is growing.This article will not be carried out around the fall detection system for the elderly.By exploring the theory and practice in this area,we will use clear examples to analyze whether the critical value detection design is scientific,and finally make a more complete system design.The practical significance of this research is that: currently,China's detection and development of human body falls have not been successful.The relevant system design is based on the core of foreign technology.It is necessary to develop a device that has practical value and is independently completed by China.On the social level,this research and development also has a positive effect on improving the efficiency of care for the elderly and can reduce the pressure of various types of old-age care.The main body of this article is as follows: In the first chapter,an overview of the relevant issues is given,briefly introducing the significance of research,research methods,etc.,and introducing the various professional terms mentioned in the article,and sorting out the literature in this respect;Chapter Two,Details Introduces pattern recognition,support vector machines,and falls.In the third chapter,detailed analysis and analysis of the mainstream human fall detection algorithm are carried out.Various threshold detection algorithms were analyzed,tested and verified in detail,and a fall detection algorithm based on adaptive threshold was proposed.In the fourth chapter,the detailed design discussion of the hardware circuit required by the system is completed,and the selection of the alignment processor and the design of the peripheral circuit are completed.In Chapter 5,a lot of experiments were carried out on the behavior of human fall.The data was analyzed and sorted out in detail.Based on these results,the parameters of the adaptive threshold algorithm were set.The sixth chapter summarizes the work of this dissertation and puts forward the insufficiency of the research work.In addition to theoretical analysis,this paper also combines practice analysis and method induction.Finally,it makes an overview analysis of the fall detection algorithm and obtains the following points.First,it mainly studies the fall theory research and critical value detection,and outlines the basic connotation.Secondly,based on the human fall behavior,the current systematic characteristics of the human skeleton and the characteristics of the fall behavior are analyzed to lay the theoretical foundation for the design of the human fall detection instrument;in addition,a human fall detection method is summarized by using the analysis algorithm for human fall detection and empirical comparison.In addition to pattern recognition and critical value judgment and detection algorithms,based on the tested data,an adaptive threshold fall detection algorithm is proposed based on the adaptive threshold.Since then,the system has been able to distinguish between general behaviors and falls,preventing false alarms and affecting the normal life of users.