Pull-up test counting method and system based on quick-openpose model

Abstract

The invention discloses a pull-up test counting method and system based on the Quick-OpenPose model, comprising: entering a student number authentication module; The posture recognition module recognizes the posture. When the distance between the wrist detection point and the horizontal bar in a certain frame of image is found for the first time, the frame is set as the starting frame; If there is a serious error in the recognition, the error prevention module will interrupt the detection process, return to wait for the restart and make a voice broadcast; if the movement posture is not up to standard, it will also perform the voice broadcast without interrupting the recognition, and this action will not be counted; the wrist is detected to leave Horizontal bar, the test is over; the counting module calculates the final effective pull-up test counting score of the tested person and makes a voice broadcast. The invention has fast detection speed and high efficiency, improves parameter sharing rate and reduces model redundancy.

Description

technical field [0001] The invention belongs to the technical field of machine vision and image processing, in particular to a pull-up test counting method and system based on the Quick-OpenPose model. Background technique [0002] As an important reference standard and item to measure physical fitness, pull-up has been designated as a national high school entrance examination sports test item. At present, existing pull-up counting methods include: manual counting, infrared probe sensor counting, ultrasonic sensor counting, and analysis depth image counting. In the process of manual counting, it is time-consuming and labor-intensive, and it is easy to make mistakes. Using the sensor to count, the structure is simple, it is easy to be interfered by the outside world, the misjudgment rate is high, and the practicability is not very strong. In the analysis depth image counting device, Kincet is mainly used to obtain the depth image, which requires the use of proprietary equip...

AI Technical Summary

Problems solved by technology

In the process of manual counting, time-consuming and labor-intensive, error-prone

Using sensors to count, the structure is simple, easy to be disturbed by the outside world, the false positive rate is high, and the practicability is not very strong

In the analysis depth image counting device, Kincet is mainly used to obtain the depth image, which requires the use of proprietary equipment, the algorithm is relatively complex, the price is high, and the computer performance requirements are high, and it is difficult to meet the real-time requirements

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