Direct‐Printed Textile Circuits for Smart Gloves With Enhanced Integration

Integrating deformable sensors, conductive routing, embedded electronics, and local data processing on a textile carrier remains challenging for wearable gesture interfaces. Here, a direct‐printed textile circuit smart glove was constructed using a hybrid textile–electronic architecture. Low‐resistance carbon paste and Ag paste were sequentially screen‐printed to form the strain‐sensitive layer, electrodes, interconnects, and component pads. Packaged modules were attached with silver‐filled epoxy electrically conductive adhesive and protected by localized silicone‐rubber encapsulation. The sensor produced a linear response over 2.5%–15% strain ( R 2 = 0.9995), with response and recovery times of approximately 200 and 100 ms, and stable electrical output during a 10 000s test corresponding to about 4000 cycles at 0.4 Hz. An ESP32‐based threshold classifier processed five finger channels locally and recognized eight static gestures with an average accuracy of 95.2% over 480 trials. The encoded gestures were then used to command a uHand 2.0 bionic hand and an agricultural robot. These results demonstrate the system‐level feasibility of the hybrid textile–electronic architecture for integrating textile sensing, on‐device gesture recognition, wireless communication, and robotic command execution.