Flexible strain-sensitive sensors have been receiving intensive attention in many aspects ranging from human motion capture to health-related signal monitoring. However, the fabric strain sensor with multi-directional sensing capability, besides having a wide strain range and high response sensitivity, is still very challenging and deserves further exploration. Here, we have prepared a wearable cotton fabric strain sensor uniformly decorated with single-walled carbon nanotubes through a facile solution process. The unique hierarchical architecture of the cotton fabric woven from twisted yarns combined with the conductive carbon nanotube network endows the fabric strain sensors with attractive performance, including low detection limit, large workable strain range, fascinating stability and durability, excellent direction-dependent strain response, and good air permeability. The strain sensor without polymer encapsulation can not only monitor subtle and large multi-directional motions but also fit well to the human body with satisfactory comfort, demonstrating its potential application in wearable electronics and intelligent clothing.

The growing applications of wearable electronics, electronic textiles, and biomedical devices have sparked explosive demand for highperformance flexible sensors. Herein, we report a facile approach for fabricating a highly sensitive carbon hybrid fiber, which is composed of a graphene fiber skeleton and carbon nanotube (CNT) branches. In this hierarchical fiber, in situ grown CNTs prohibit the stacking of graphene sheets and bridge graphene layers simultaneously, making the hybrid fiber fluffy and conductive. Due to the well-designed architecture, the assembled fiber sensor exhibits satisfactory performance with a high gauge factor (up to 1127), a fast response time (less than 70 ms), and excellent reliability and stability (>2000 cycles). This work provides a feasible and scalable pathway for the fabrication of ultrasensitive fiber-based sensors, achieving the full realization of monitoring human physiological signals and architecting a real-time human−machine controlling system. Moreover, these practical sensors are used to monitor the sitting posture to prevent cervical spondylosis and lumbar disc herniation.

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Although wearable electronic technology has been largely improved to accomplish numerous requirements, the traditional single-axis strain sensor is normally limited in the process of detecting the complex movements of the...