Due to the lack of pre-processing of the detection of tennis swing wrong actions,the correction effect is poor.Thus,a method for correcting tennis swing wrong actions based on machine learning is pro-posed.An image detection model for visual information collection of tennis swing errors is constructed,and the video dynamic tracking detection method is adopted to establish a feature analysis model.By decompo-sing features through edge parameter segmentation method,and combining dynamic parameter recognition,machine learning method and fusion feature recognition method,self-adaptation learning is completed and a corrective adaptive control model is constructed to achieve dynamic correction of tennis swing errors.The simulation shows that the average correction accuracy of this method reaches 0.923,the root mean square error is only 0.019,and the regression parameter is 20.537,which has a high fitness and improves the ac-curacy of tennis movements.
维普
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