fig6

Figure 6. Gait recognition test using skin-inspired pressure sensors. (A) Schematic diagram of the system structure, showing the sensor array and data processing flow; (B) Resistance variations of four gait signals, including going upstairs, going downstairs, walking straight ahead, and walking backwards; (C) KNN-based classification results for four gait types; (D) Feature importance heatmap, showing the contribution of each feature in classification; (E) ROC curve, illustrating the AUC values of different gaits. KNN: K-nearest neighbors; AUC: area under the curve; ROC: receiver operating characteristic.