fig7

Figure 7. (A) Practical application examples of the MXene/CNFs pressure sensor^[297]; (B) Schematic diagram of deep learning for gesture recognition^[297]; (C) Confusion matrix diagram of the test set^[297]. (A-C) adapted from Ref.^[297]. Copyright 2025, Elsevier; (D) Illustration of the lignin-based hydrogel wearable sensor for bionic hand control using a wireless signal transmission system^[34]. Adapted with permission from Ref.^[34]. Copyright 2025, WILEY-VCH; (E) Photographs showing that the rehabilitation glove used can assist the hand to perform corresponding movements driven by human action intention, indicating the feasibility of the system in active rehabilitation^[282]; (F) Construction and demonstration of an HMI system for active rehabilitation and other applications^[282]. (E and F) adapted from Ref.^[282]. Copyright 2025, WILEY-VCH. CNFs: Cellulose nanofibers; HMI: human-machine interaction; CNN: convolutional neural network.