Integrated Smart Glove System via Hardware‐Software Co‐Design: 3D Printed MXene/CNT/Ecoflex Sensors for Real‐Time Gesture Recognition

ABSTRACT Flexible strain sensors capable of detecting subtle human movements are pivotal for advancements in human‐machine interaction and virtual reality technologies. However, achieving high sensitivity, a broad sensing range, and system‐level integration simultaneously remains a formidable challenge due to the inherent trade‐off between electrical conductivity and mechanical deformability. Herein, a high‐performance 3D‐printed flexible strain sensor based on a synergistic MXene/carbon nanotube (CNT)/Ecoflex nanocomposite is reported. By coupling a microscopic MXene/CNT bridging network to mitigate irreversible nanosheet restacking with a macroscopic 3D‐printed stress‐dissipating architecture, the inherent conflict between electrical conductivity and mechanical deformability is successfully reconciled. This synergistic design endows the sensor with high linearity ( R ² = 0.99), a broad sensing range (up to 80%), and exceptional durability (>1000 cycles). This proof‐of‐concept system integrates STM32‐based acquisition with dynamic visualization. Results confirm its stable low‐latency performance in motion mapping, validating the hardware‐software co‐design approach for future integrated wearable electronics.