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Human Health Status Analysis System Based On Six Axis Sensor

Posted on:2021-03-20Degree:MasterType:Thesis
Country:ChinaCandidate:T HouFull Text:PDF
GTID:2428330611950336Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
The traditional human health monitoring technology is getting limited to the development of computer technology and people's increasing medical requirement,so it is urgent to explore the new intelligent medical health monitoring technology.This paper studies a technology of human health detection and a method of hospital intelligent recommendation which adopts the technology of a six-axis sensor,using the data collected by the six-axis sensor MPU6050 to estimate the state of human health and to get the intelligent inquiry recommendation combining the hospital score.The paper studies the method of examining human health by using a six-axis sensor.By comparing the advantages and disadvantages of using accelerated velocity and angular velocity to calculate human footstep angle method,the paper adopts angular velocity figures to calculate footstep angle,while studying an algorithm to solve accumulative error.Having obtained the figure of attitude angle,it uses piecewise fitting function to abstract the corresponding timing of the maximum angle of each footstep,and works out gait period,then the method of examining human health based on gait period similarity is developed.In addition,the paper also simulates a number of literature experiments aimed at exploring whether children suffer from obesity and autism.According to the experiment data,it trains machines learning model so as to predict whether children suffer from obesity and autism.Moreover,in order to extend application function of the system,the paper also studies an intelligent recommendation algorithm.Firstly,it studies the procedure of traditional matrix decomposition algorithm to complete score deficiency,the problems caused by non-negative matrix decomposition algorithm making up for general matrix decomposition algorithm,When missing value is complemented,it uses KNN machine learning algorithm to realize intelligent recommendation.The method hasbeen proved by testing to be able to recommend appropriate hospitals to the tester.Finally,this paper builds the analysis system of the human health statement by a data analysis platform to test and verify the function of the module according to the above platform,and to make an assessment on the human health statement and to recommend the hospital intelligently.
Keywords/Search Tags:Human gait characteristics, Six axis sensor, Health status, Matrix decomposition algorithm, Intelligent recommendation of hospital
PDF Full Text Request
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