fig6
Figure 6. Machine-learning-assisted self-powered gesture-recognition system and classification performance. (A) Electrical signal response waveforms corresponding to six different hand gestures. (B) Multi-metric evaluation of gesture-recognition performance. (C) PCA score cluster plot based on PC1 and PC2. (D) Confusion matrix showing recognition accuracy and error distribution for the six gestures.
