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Sit-up counting method based on human skeleton point detection

A counting method and bone point technology, which is applied in the field of computer vision and sports equipment, can solve the problems of multiple human resources, poor test experience, poor experience, etc., and achieve the effect of good experience, accurate counting of sit-ups, and high precision

Pending Publication Date: 2021-03-09
NANJING UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using this method to exercise and test requires more human resources, and if the movement is not standardized, it may also be counted, and the test results cannot meet the accuracy requirements of the final test
[0003] There is also a kind of counting that achieves movement regulation by wearing electronic devices on the tester, which makes the tester feel restrained and has a poor experience
[0004] Therefore, the test method proposed above does not yet have a good test experience and counting accuracy, the test efficiency is low, and the test experience is poor

Method used

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  • Sit-up counting method based on human skeleton point detection
  • Sit-up counting method based on human skeleton point detection

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Embodiment Construction

[0015] The present invention will be further described below in conjunction with the accompanying drawings and embodiments of the specification.

[0016] combine figure 1 , a method for counting sit-ups based on bone point detection of the present invention, comprising the following steps:

[0017] Step 1, the human skeleton point detection network structure includes three parts: a backbone network, a feature fusion network and a detection network. Its backbone network inherits the darknet53 network structure. Its feature fusion network performs feature fusion on the third downsampling feature map A, the fourth downsampling feature map B, and the fifth downsampling feature map C. The sizes of the third downsampling feature map A, the fourth downsampling feature map B, and the fifth downsampling feature map C are 52×52×128, 26×26×256, and 13×13×512, respectively. Convolve the fifth downsampled feature map C to 256 channels, then upsample it and fuse it with the fourth downsa...

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Abstract

The invention discloses a sit-up counting method based on human skeleton point detection. The sit-up counting method comprises the following steps: s1, acquiring a real-time video stream of a testee during sit-up; s2, storing the real-time video stream into an image at intervals, and preprocessing the stored image; s3, sending the preprocessed image into a human skeleton point detection network for human skeleton point detection; s4, judging whether the testee is in a ready state or not through the human skeleton points; and s5, judging whether a complete sit-up is completed or not according to the rear skeleton points of the human body after the human body is in the preparation state, and adding 1 to the counter when the complete sit-up is completed. According to the invention, self-service sit-up testing and counting can be realized, manual interference is not needed in the testing process, and the testing efficiency is improved.

Description

technical field [0001] The invention relates to the field of computer vision and the technical field of sports equipment, in particular to a method for counting sit-ups based on detection of human skeleton points. Background technique [0002] Sit-ups are an important exercise in domestic student physical training and military physical training. At present, most sit-up tests are performed by testers lying on a mat, and then counted by statisticians. Exercising and testing in this way requires more human resources, and if the movements are not standardized, they may also be counted, and the test results cannot meet the accuracy requirements of the final test. [0003] There is also a kind of counting that achieves movement regulation by wearing electronic devices on the tester, which makes the tester feel restrained and has a poor experience. [0004] Therefore, the test method proposed above does not yet have a good test experience and counting accuracy, the test efficiency...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04A63B71/06
CPCA63B71/06A63B2220/17G06V40/20G06V40/10G06V20/42G06N3/045G06F18/214
Inventor 袁夏叶佳林赵春霞
Owner NANJING UNIV OF SCI & TECH
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