Work

The Research on Video Analysis of Key Motion Positions Based on Deep Learning Technology

Year: 2025

Type: article

Abstract: This paper innovatively explores sports video key posture detection through deep learning, showcasing its transformative applications in sports analysis. It pioneers model optimization strategies for heightened accuracy and real-time performance. Leveraging Convolutional Neural Networks (CNNs) and Full Convolutional Neural Networks (FCNs), the study introduces a novel deep learning architecture that adeptly captures athletes' gestures. Future prospects encompass innovative advancements like cross-project posture analysis and personalized training recommendations, setting a new standard in athlete injury prevention and performance optimization.

Source: International Journal of e-Collaboration

DOI: 10.4018/ijec.373713

Authors: Zhongjie Wang, Hanlie Cheng, Qiang Qin

Institutions: Zhejiang Guangsha Vocational and Technical University of Construction, China University of Geosciences, Xi'an Shiyou 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: W4409838423

FWCI: 6.132

Cites: 30

Cited by: 17

Related to: 10