Dynamic sitting posture correction system for prevention of myopia based on RBF neural network

Abstract

The invention discloses a dynamic sitting posture correction system for prevention of myopia based on a RBF neural network. The system comprises a main body and a correction head ring. One side of themain body is provided with the correction head ring through a lead. The main body comprises a transparent box body, a single-chip microcomputer, a six-axis gyroscope, an ultrasonic distance sensor, aphotosensitive sensor, a voice feedback module and a battery pack. The single-chip microcomputer receives the data of the six-axis gyroscope, the ultrasonic distance sensor and the photosensitive sensor and processes and judges the data through the attitude calculation algorithm based on the combination of the conjugate gradient method and complementary filtering and the dynamic sitting posture recognition algorithm based on the RBF neural network. The system has the advantages of high recognition, good stability and high practicability through multi-dimensional consideration of how to use eyes healthily by using the attitude calculation algorithm based on the combination of the conjugate gradient method and complementary filtering and the dynamic sitting posture recognition algorithm based on the BRF neural network and can timely and accurately judge whether the current sitting posture is standard or not.

Description

technical field [0001] The invention relates to a sitting posture correction system, in particular to a dynamic sitting posture correction system for preventing myopia based on an RBF neural network. Background technique [0002] According to the latest research report of the World Health Organization, the number of myopia patients in China is as many as 600 million, which is almost half of the total population. The myopia rate of high school students and college students in my country has exceeded 70%, and it is increasing year by year. The myopia rate of teenagers ranks first in the world. First, the myopia rate of primary school students is also close to 40%. In addition, according to the survey, the age of people who are currently seeing cervical spondylosis in hospitals is getting younger and younger. The age of cervical spondylosis has dropped from 27 years old 20 years ago to Today, I am about 17 years old. At this stage, human beings do not have a particularly effectiv...

AI Technical Summary

Problems solved by technology

[0002] According to the latest research report of the World Health Organization, the number of myopia patients in China is as many as 600 million, which is almost half of the total population. The myopia rate of high school students and college students in my country has exceeded 70%, and it is increasing year by year. The myopia rate of teenagers ranks first in the world. First, the myopia rate of primary school students is also close to 40%. In addition, according to the survey, the age of people who are currently seeing cervical spondylosis in hospitals is getting younger and younger. The age of cervical spondylosis has dropped from 27 years old 20 years ago to Today, I am about 17 years old. At this stage, human beings do not have a particularly effective method or means of treating myopia except surgery. However, surgical treatment methods are expensive, limited, and have certain side effects. Therefore, preventing the occurrence of myopia top priority

[0003] At present, the sitting posture correction devices used to prevent myopia in the market are misleading, and there is no effective and practical sitting posture correction device, mainly some simple plastic molds or fixing devices such as back and back. Because each person's body shape and habits are different, these devices are not suitable. The sitting posture of the user cannot be reasonably and effectively detected and corrected in the dynamic range. Therefore, the present invention proposes a dynamic sitting posture correction system for preventing myopia based on RBF neural network to solve the deficiencies in the prior art

Images