Flexible intelligent sitting posture monitoring system based on hip pressure

Abstract

The invention discloses a flexible intelligent sitting posture monitoring system based on hip pressure. The system comprises a piezoresistive film sensor, an interface adapter plate, a data acquisition plate and a data processing device, and the piezoresistive film sensor comprises a plurality of force sensitive point units and is used for sensing sitting posture pressure of a user; the data acquisition board acquires pressure distribution data sensed by the piezoresistive film sensor through the interface adapter board and transmits the pressure distribution data to the data processing equipment; and the data processing equipment processes the received pressure distribution data, and identifies the sitting posture category of the user by using a trained deep learning model. The sitting posture recognition device has the advantages of being accurate in sitting posture recognition, small in size, high in portability, convenient to use, low in cost and not limited by territory environments.

Description

technical field [0001] The invention relates to the technical field of medical imaging, more specifically, to a flexible intelligent sitting posture monitoring system based on buttock pressure. Background technique [0002] Long-term wrong sitting posture will cause great damage to the eyes, cervical spine and lumbar spine, and these damages are irreversible to the human body. For example, improper sitting posture can easily lead to myopia, especially for young people and writers who sit at their desks for a long time, and have tilted their heads, bowed their backs, or lie down, or tilt their heads on their arms to read and write, and doing so for a long time will lead to excessive reading and writing distance. Close, increase eye fatigue. At the same time, due to incorrect posture, the distance between the left and right eyes is different from the book, resulting in different intraocular pressure in both eyes, which may easily cause differences in the state of eye use of t...

AI Technical Summary

Problems solved by technology

On the one hand, the amount of data in the image matrix is ​​very large. If you want to obtain a high accuracy rate and effectively correct the posture of the human body, you need a complex model, many parameters, a large amount of calculation, and high hardware requirements; if the model is relatively simple, although the amount of calculation is small, However, the effect of posture correction is poor, or the effect of real-time correction cannot be achieved

On the other hand, the visual sensor is easily affected by the external environment, such as light, shooting angle, etc., which will affect the recognition effect

[0005] In the prior art, although there is a technical solution for using pressure sensors to identify sitting postures, multiple single-point pressure sensors are used in a combined arrangement, the collected pressure information is relatively small, and the sensors need to be fixed to the chair , the pressure information of the corresponding position can be collected, which reduces the convenience of the system and greatly limits the large-scale use of the pressure sensor-based sitting posture monitoring system

[0006] In summary, the existing sitting posture correction methods will cause certain damage to the human body, especially the hard correction, which cannot achieve the effect of forming a habit after correction

However, the vision-based sitting posture detection system may violate privacy and is susceptible to interference, requiring high hardware requirements.

Pressure-based sensors have a small single-point detection range, need to be fixed, and have poor portability

Images