π€ AI Summary
This work addresses the inflexibility of existing e-textile prototypes, which rely on permanent interconnects that hinder adaptive sensor placement for diverse users and dynamic scenarios. The authors propose a weavable, magnetic plug-and-play e-textile platform that integrates conductive buses via industrial digital knitting and employs soft magnetic connectors to enable damage-free, repeatable sensor insertion with automatic alignment. An LED-based positional encoding scheme coupled with an automated node identification algorithm further facilitates system reconfiguration. This platform represents the first integration of machine-knitted conductive architectures, magnetically attachable interfaces, and an auto-localization system, allowing rapid iteration of sensor layouts on large-area textiles. Experimental validation demonstrates its efficacy and adaptability in applications such as forearm motion calibration and thermal distribution mapping, significantly accelerating the development of personalized wearable sensing systems.
π Abstract
Electronic textiles (e-textiles) integrated with wearable sensors are essential for daily motion monitoring and long-term physiological sensing. For example, capturing optimal kinematic or bio-signals requires aligning sensors with specific anatomical parts, which vary significantly across individuals and application scenarios. This necessity for personalization makes e-textile prototyping inherently iterative, however current fabrication methods, such as manual conductive stitching, rely on permanent bonds that restrict rapid adjustment. This paper introduces Plug-n-play e-knit, a machine-knittable e-textile prototyping platform that enables repeatable, quick adjustment of sensor positions across garments. First, to cover the large area of the textile for prototyping, we use industrial digital knitting of conductive yarn to integrate power and communication buses directly into the large-scale textile. Then, to ensure plug-n-play attachment to the textile, we employ soft-magnetic connectors that enable sensors to be repeatedly plugged into the wiring without damaging the fabric. Furthermore, our LED-positioning system enables the automatic identification and localization of each sensor node. We demonstrate the platform's capabilities through forearm movement calibration and position-aware temperature mapping.