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Here, a high-performance strain sensor is developed by integrating carbon nanotubes (CNTs)\/reduced graphene oxide (rGO) hybrid conductive networks with electrospun thermoplastic polyurethane (TPU) nanofibers, followed by pre-stretching to engineer a dual-microcrack architecture. The synergistic interplay between 1D CNTs and 2D rGO stabilizes conductive pathways, while strain-regulated microcrack evolution amplifies resistance variation. The sensor delivers a wide strain range of up to 100%, with gauge factors of 75.2, 1600.5, and 7484.5 across 0\u201332%, 32\u201360%, and 60\u2013100% strain, respectively. It further exhibits a rapid response\/recovery time of 30\/40 ms, a low detection limit of 0.01%, and excellent durability over 1000 cycles. Benefiting from these comprehensive superior sensing performances, the sensor can reliably monitor both subtle human physiological signals and large-amplitude human motions, demonstrating great application potential in wearable health monitoring, intelligent motion perception and human\u2013machine interaction fields.<\/jats:p>","DOI":"10.3390\/nano16191234","type":"journal-article","created":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T13:01:19Z","timestamp":1790773279000},"page":"1234","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Flexible Strain Sensor Based on TPU\/CNTs\/rGO Conductive Membrane with Dual-Microcrack Structure for High-Performance Wearable Sensing"],"prefix":"10.3390","volume":"16","author":[{"given":"Jinlong","family":"Chen","sequence":"first","affiliation":[{"name":"School of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, 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