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Youth physical training robot based on visual recognition and training method
Author(s) -
Hanbin Dong,
Zhihe Cui,
Liao Tian
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1982/1/012003
Subject(s) - grasp , artificial intelligence , computer science , computer vision , robot , matching (statistics) , training (meteorology) , object (grammar) , mathematics , statistics , physics , meteorology , programming language
With the continuous improvement of people’s living standards, the continuous development of training methods and concepts, resulting in the continuous improvement of sports level, which puts higher demands on teenagers’ physical function. How to use high-efficiency and low-risk training methods to train has become a headache for coaches. In this paper, an accurate target detection and recognition method based on stereo matching algorithm is proposed. Based on stereo matching algorithm, after data training, the target can be accurately identified, and the position information of the target can be given. Then, the target can be accurately positioned by binocular vision and its three-dimensional coordinates can be obtained. Finally, it can be transmitted to the robot and control the robot to move and grab the target object. Experimental results show that this method can identify and locate the target accurately and quickly, and successfully guide the robot to grasp the target object. This physical training robot can provide theoretical basis and technical guidance for improving the physical training level and sports performance of young athletes.

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