Sports volleyball error technique action recognition based on visual image technology

Abstract

The popularity of volleyball is increasing. Athletes must follow correct techniques for practical training and fair competition. However, errors frequently occur during training or matches, and traditional methods struggle to identify them accurately. This adversely affects athletes’ training effectiveness and the fairness of volleyball matches. This article presented a volleyball error technique action recognition method based on visual image technology. The camera device was used to obtain visual images of volleyball actions, and support vector machine technology was used to classify the skeletal features of athletes in volleyball action images to identify volleyball error technique actions. This article conducted a 10-day analysis identifying incorrect technical movements among 50 volleyball players. The experimental results showed that the average recognition accuracy of the traditional human recognition judgment method and the error passing technique in this article was about 72.09% and 95.59%, respectively. The average recognition accuracy of this article’s traditional human identification judgment method and the error pad technique was about 68.11% and 94.33%, respectively. Therefore, sports volleyball error technology action recognition based on visual image technology can improve the accuracy of error technology action recognition.