Running gesture correction system and method

Abstract

The invention discloses a running gesture correction system and correction method based on the correction system. The running gesture correction system comprises a processor, and further comprises a wireless communication device, a memory, a foot acquisition feedback assembly, a waist and hip acquisition feedback assembly, a spine acquisition feedback assembly and a head acquisition feedback assembly which are connected with the processor. A practicable running gesture adjustment device and implementation steps are provided, key data of each part of a runner in running can be collected in realtime, corresponding vibration and voice reminding for each part are performed according to real-time data of the runner to achieve real-time feedback, reminding for corresponding parts is accurate and fast, and the correction effect is good.

Description

technical field [0001] The invention belongs to the technical field of sensors and the Internet, and relates to a running posture correction system and method. Background technique [0002] With the improvement of people's material conditions, the quality of life has become the pursuit of most urban people, and health is an important cornerstone to ensure the quality of life. While adjusting the diet structure and relieving mental stress, more and more people are doing fitness exercises to enhance the vitality of the body and maintain the balance of the physical state. Running has low requirements on the venue and can be done alone. Because of this, most people choose to run. [0003] However, many people will experience knee pain after running for a period of time. When they go to the hospital for an examination, they will find that the meniscus or patella joints are severely worn. The reason is that most people lack professional guidance and adopt incorrect running postur...

AI Technical Summary

Problems solved by technology

After a patent search, we found that although there are studies on running posture correction in the prior art, they are all compared and corrected by collecting images of runners and standard running images. This method can only be collected after running. For analysis, lack of timely feedback, the efficiency is extremely low, and for the runners, there is no intuitive impression of each part of the body, so they can only be compared again after running again

Moreover, the image-based comparison is too rigid. Everyone’s body shape and the proportion of each part are different. Simply applying standard images and imitating the positions of each part may be detrimental to the health of runners.

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