fig7

Figure 7. Design of a deep learning-assisted ball sports recognition system. (A) Standardized seven-channel response signals for five ball sports; (B) Schematic diagram showing the detection of signals from fingers, wrists, and elbows and the DLA framework using random forest; (C) Confusion matrix for recognizing the five ball sports actions; (D) t-SNE visualization of the training data for five different ball games; (E) Feature importance graph illustrating the key features for classification; (F) Learning curve showing the model’s performance over time. DLA: Deep learning algorithm; t-SNE: t-distributed stochastic neighborhood embedding.