Tumble detection system based on deep learning

Abstract

The invention discloses a tumble detection system based on deep learning, which comprises a terminal side and a cloud side. The terminal side comprises a data acquisition module and a communication module, and the cloud side comprises a cloud management platform and a data analysis module; the data acquisition module is used for acquiring three-axis acceleration data and three-axis rotation angular velocity data; the communication module is used for sending the three-axis acceleration data and the three-axis rotation angular velocity data to the cloud management platform; the cloud management platform sends the received three-axis acceleration data and three-axis rotation angular velocity data to a data analysis module, the data analysis module judges whether the user falls down or not according to the received data, and if it is judged that the user falls down, the cloud management platform sends alarm information; and the data analysis module adopts a tumble judgment model based on a CNN-Pred network. The method is high in fault tolerance of judgment and high in detection precision. And medical intervention and treatment can be carried out in time by detecting the falling behavior of the old people at the first time.

Description

technical field [0001] The invention belongs to the technical field of fall detection, and in particular relates to a fall detection system based on deep learning. Background technique [0002] At present, my country has entered an aging society, and the proportion of the elderly population is increasing day by day. Quite a lot of old people live alone at home. For the old people living alone, once they fall, if they cannot be found in time and take corresponding rescue measures, it may often cause serious physical injuries such as fractures, hemorrhage, nerve damage, and paralysis. Affected by the decline in fertility rate and the increase in life expectancy, the degree of population aging in China has increased in recent years, and the old-age dependency ratio and the proportion of the elderly population to the total population have gradually increased. In the future, the degree of population aging in China will continue to increase. Falls can cause multiple organ injuri...

AI Technical Summary

Problems solved by technology

[0005] At present, with the development of artificial intelligence technology, it is more and more inclined to use more complex algorithms to improve the detection accuracy of human fall behavior. Therefore, in order to solve the problems of poor fault tolerance and low detection accuracy of existing fall detection methods, the present invention Provides a fall detection system based on deep learning

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