Falling real-time detection system based on accelerometer and method thereof

Abstract

The invention discloses a falling real-time detection system based on an accelerometer and a method thereof. The system includes the accelerometer, a wireless transmitter, a wireless receiver, a dataprocessing module, a power module, an early warning module, a system reset module, and a PC. wherein the data processing module includes a data preprocessing unit and a fall model. The method comprises the following steps: the system is worn at the waist of the human body, that is, the upper end of the tibia, the accelerometer collects the acceleration of the three axes during the movement of thehuman body, and transmits the acceleration to the data processing module, the data preprocessing unit preprocesses the data, and then the data is substituted to the fall model to determine whether themodel is in the process of falling, if the model falls, the warning module is activated, and the reset module resets the system; the processed data and the final test result are transmitted by the wireless transmitter and received by the wireless receiver, and finally transmitted to the PC for data monitoring. The system can realize real-time detection of falling and ensure the health and safetyof the monitored population.

Description

technical field [0001] The invention relates to the technical field of control systems, in particular to a fall real-time detection system and method based on an acceleration sensor. Background technique [0002] With the increasing development of my country's economy, the trend of aging is becoming more and more serious. Relevant surveys and studies have shown that by 2030, the proportion of empty-nest elderly families will be as high as 90%. , the incidence of falls in the elderly is high, and because the elderly are osteoporotic and prone to fractures, the consequences of falls are serious. At present, falls have become the fourth cause of casualties in our country, and the first among people aged 65 and above. As people grow older, falls in the elderly are prone to many diseases, ranging from scratches and even fractures to coma and cerebrovascular accidents, and even paralysis or even death in severe cases. After a fall, the elderly will have fear, which will lead to a...

AI Technical Summary

Problems solved by technology

At present, the algorithm of pattern recognition is commonly used for fall detection, but the pattern recognition algorithm involves the calculation of high-dimensional space, resulting in a large amount of calculation, so the requirements for hardware are very high, and the real-time performance is not good.

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