Wearable Anti-myopia System Based On BLE Technology

In recent years,myopia has become the most serious eye disease affecting the health of contemporary teenagers.The rate of myopia among teenagers in our country has reached as high as 40 percent.The proportion is still increasing with the growth of age.Myopia will affect Children’s study and daily life.Moreover,it may lead to pathological changes in their eyes or permanent blindness if it is not prevented.At present,many researchers have conducted in-depth research on the causes of childhood myopia and found that bad habits of using eyes are the main reason.If monitoring equipment can be used to monitor and remind children of bad posture,it can reduce the proportion of myopia.Therefore,when children are engaged in learning activities,it is of great significance to monitor their posture in real-time during the learning process.Aiming at the problems of single function and insufficient intelligence of the current monitoring devices for preventing children’s myopia on the market,this paper designs a wearable anti-myopia monitoring system based on Bluetooth Low Energy technology.Specific work is as follows:(1)Overall design of real-time monitoring system against myopia.In order to meet their bad posture monitoring function,it is necessary to learn by optical distance sensor for adolescents with distance monitoring.The six-axis acceleration sensor is used to monitor the incorrect head posture of teenagers when they are learning.Combined with the actual functional requirements of each module of the system,this paper carries out the overall system design and determines its design plan,component selection and corresponding software program writing.(2)A concentration analysis model based on acceleration sensor data.According to the change of acceleration signal caused by the change of children’s motion during learning,a focus analysis algorithm is proposed.Taking the motion data collected by the six-axis acceleration sensor in the system as the data sample,the concentration analysis model was built.(3)Experimental research.The monitoring function of the anti-myopia system was tested to verify the accuracy of the system for judging bad posture.The established concentration analysis model was used to analyze the data collected by the sensor in MATLAB software,and the rationality of the focus analysis model was verified by comparing the analysis results with the test conditions.The simulation test shows that the system can accurately judge the user’s bad posture,and the accuracy rate is 100%.At the same time,the data analysis model,based on the concentration analysis algorithm,which is basically consistent with the actual movement situation,can provide technical guidance for the design and development of wearable anti-myopia monitoring equipment suitable for the market.