Work

Research on Artificial Intelligence Technology in Accurate Recognition of Sports Training Actions

Year: 2024

Type: article

Abstract: In sports training, accurate identification of athletes' movements is helpful to judge whether athletes' actions are standard or not, thus providing precise movement data for training and improving athletes' levels. The convolutional neural network VGG model was constructed based on artificial intelligence technology to extract image features and accurately recognize actions automatically. Weizmann data set was used to train and verify the model. The results of this study showed that the motion recognition algorithm based on the convolutional neural network could achieve high recognition accuracy.

Source: International Journal of e-Collaboration

DOI: 10.4018/ijec.349210

Authors: Zhi Tang, Dongdong Wang

Institutions: Hunan University of Science and Engineering, Guangzhou Sport University

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4401880776

FWCI: 0.144

Cites: 23

Cited by: 1

Related to: 10