Research On Wearable For Elderly People Falling Monitoring System Based On Human Posture Recognition

An aging population gradually caused the extensive concern of society and family.People pay more and more attention to the elderly health status and action in life safety issues.Because body function weakened gradually,the elderly fall in the fall and the secondary damage caused serious influence on their daily life.Fall caused casualties and rescue cost and fall situation closely related,more important is the rescue time.At the same time,the physiological parameters and the life characteristics of the elderly will play a crucial role in the rescue process.Based on this,real-time monitoring of the elderly physiological parameters and operation safety is very critical.When the elderly fall at the same time,sent a signal for help as quickly as possible and making timely rescue workers can present treatment,reduce casualties.According to the above situation,this article is based on wearable falling monitoring technology.Combined with human posture recognition technology,based on human posture recognition is constructed of wearable elderly health monitoring system.To occupy the old people's physical health,safety,real-time monitoring.Under normal circumstances,it can real-time display of the elderly physiological parameters and guide their reasonable exercise and diet.At emergency cases,it can keep human physiological parameters and help sent a distress signal for help.So as to confirm the physical and mental health of the elderly and operation safety.This paper choose to monitor the human body is the most important physical parameters of wearable elderly falling monitoring system.On the premise of not interfere with the normal activity of the old man,choose the body temperature,blood oxygen two physiological parameters.According to the selected biological sensors for monitoring circuit is designed.Choosing the AD590 temperature sensor to measure the skin resistance and to realize the human body temperature measurement.Choosing AFE4400 as front-end to measure blood oxygen..At the same time,this article chooses the MMA7620 three-axis accelerometer of Freescale company for human action recognition.Respectively,it identifies standing,lying on your back,side(left)and side(right),stomach and other actions.At the same time,according to the action library has analyzed the factors of the elderly fall and fall down process and designed the elderly fall algorithms.Thus from hardware to achieve the real-time monitoring of the daily activities of old people.This paper choose CC2541 bluetooth module and PL2303 serial interface chip.This paper also designed a 3.3V to 5V,5V to 3.3V circuit.It realizes the wearable elderly falling monitoring system of the wireless communication with a PC and ensure the monitoring of the real-time and reliability of data transmission.In the PC,written in LabVIEW "based on human posture recognition of wearable falling monitoring system" elderly upper machine to use for the elderly physiological parameters and real-time display of operation.And it can ensure the integrity of the entire system.By volunteering to wear and test that can verify the reliability and stability of the system.