Swimming-assisted training and physical fitness enhancement system based on improved YOLOv5 and improved ST-GCN

Key Points

• The research aims to improve physical fitness through a swimming-assisted training system utilizing enhanced algorithms.
• Developed a system incorporating improved YOLOv5 for object detection in swimming.
• Implemented an enhanced ST-GCN for analyzing physical movements during training.
• Conducted performance evaluations of the training system on various fitness metrics.
• Demonstrated improved detection accuracy of swimming movements compared to traditional methods.
• Showed significant enhancements in physical fitness levels in participants using the system.