Abstract
AbstractIn recent years, China has made great achievements in sports culture, and its requirements for exercises and sports competitions are getting higher and higher. But, in the process of training and competition, athletes will inevitably have some irregular or even wrong movements. Only by artificially judging whether the action is accurate can easily lead to errors in the results of sports competitions. Therefore, misjudgment events occur from time to time. Therefore, how to effectively identify the athletes’ wrong actions is particularly important. At the same time, visual data technology continues to develop and begin to be widely used in various fields, and has played a greater role in the field of image recognition. Therefore, the application of visual data technology to identify the athletes’ wrong actions will effectively improve the detection rate of wrong actions. This article uses experimental analysis and data analysis to help sports athletes make correct judgments about their own mistakes before the competition, so as to avoid wrong actions and improve their competition performance. The research results show that the motion recognition system in this experiment has a high recognition rate and a better recognition effect. In addition to individual motions that need to improve the corresponding functions, the system can meet the basic function of motion recognition and wrong motion recognition.KeywordsVisual data technologyAction recognitionFeature extractionMachine vision technology
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