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Proof-of-concept system demonstrates real-time gesture recognition using a flexible strain sensor in wearable tech.
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.
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Gao et al. (2026) studied this question.
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