3. Results
This section presents a comprehensive analysis of experiments conducted to validate the effectiveness of image processing technology based on DL in guiding football players during functional strength training. Each experiment result is thoroughly examined and discussed. The following subsections provide a clear overview of the findings:Section 3.1 presents the accuracy results of the BPNN algorithm for recognizing single movements in the MHAD dataset.Section 3.2 analyzes the statistical differences between the experimental and control football players in terms of movement speed, sensitivity, and strength test metrics. The focus is on highlighting the improvements observed in each testing metric within the experimental group.Section 3.3 compares the performance of the experimental and control football players in 10-meter sprints, 30-meter sprints, and fixed-point kicks. It examines and discusses the observed differences between the two groups.Section 3.4 illustrates the performance test results of the experimental hidden node within the BPNN framework. This analysis aims to evaluate the effectiveness and capabilities of the hidden node within the experimental setup.Section 3.5 provides a detailed analysis of the performance test results of the BPNN model. This examination sheds light on the model’s performance and effectiveness in the context of the experiments.Section 3.6 presents the performance test results of the experimental hidden node and highlights any observed differences in functional strength training between the experimental and control groups.