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Design And Research Of Falling Guardianship System For The Elderly Based On Internet Of Things

Posted on:2020-09-02Degree:MasterType:Thesis
Country:ChinaCandidate:J B HuangFull Text:PDF
GTID:2428330596981800Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the rapid growth of the economic level and the continuous improvement of science and technology,people's medical conditions and quality of life have improved,and the average life expectancy has been greatly prolonged,eventually leading to an aging society,the number of patients with chronic diseases and degenerative diseases.increase.Affected by the basic national policy of family planning,there are a large number of only children in the existing families in the country.Because of work and other reasons,it is difficult to take care of the elderly in person at home.Therefore,the society has an increasing demand for fall monitoring of the daily activities of the elderly.In the above background,designing an Internet-based elderly fall monitoring system has great scientific significance and social value.The system can realize real-time monitoring of fall,heart rate and other related data and intelligent data analysis and processing,and then instant call for help.That is,in the event of a critical situation,the caller can be automatically dialed and a help message containing the fall position information can be sent,so that the elderly can receive timely medical assistance and reduce the health of the elderly caused by the emergency.Firstly,the system adopts a hierarchical structure design.The entire fall monitoring system is divided into three layers.The first layer is the sensor layer.This layer is used to collect the physiological data of the ward and collect data in the STM32 microcontroller.Encapsulation,finally transmitted to the smartphone layer for analysis using wireless network technology;the second layer is the smartphone layer,which is used to receive data of each sensor layer and perform data analysis according to a prescribed format,and combines data related to the gyroscope and the heart rate sensor.Compared with the threshold calculated by a large number of experimental analyses,comprehensively judge whether a fall occurs,and use TD-LTE technology to transmit relevant data to a remote server for storage.When a fall occurs,the positioning function selects the most according to whether the smartphone turns on the GPS.The best positioning method is to locate and automatically call for help;the third layer is the remote server layer,which realizes classification and storage of data and provides data support for functions such as historical records.The communication between the sensor layer and the smartphone layer uses lowpower,low-latency Bluetooth for data transmission,and the smartphone layer and the server layer use the TD-LTE technology of the TCP/IP communication protocol for data transmission.The smartphone layer and each sensor network implement functions such as data interaction,GPS positioning,user interaction,automatic call for help,and fall monitoring.This paper proposes and verifies the heart rate and fall monitoring function.The fall monitoring function uses the threshold method to process the data measured by the sensor layer at the smartphone layer,and then compare it with the acceleration threshold of 5.5g,and then comprehensively analyze whether the user has a fall.Finally,the fall algorithm is tested.The accuracy of the experiment is 97%,which indicates that the algorithm can distinguish between normal action and fall action.The heart rate monitor is mainly convenient for users to measure their heart rate at any time,and the heart rate is added to the fall monitoring function.Related detection,to avoid the user may suddenly have a heart attack,but did not fall and help the wall and other situations,at this time you can use the user's heart rate related data to compare with the normal value,thereby reducing the risk of underreporting,to achieve The purpose of safety monitoring.
Keywords/Search Tags:Internet of things, Heart rate detection, Fall detection, Sensor network, Monitoring system
PDF Full Text Request
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