By combining and customizing functional and common yarns, the electrical and mechanical properties but also the aesthetics of a sensing textile can be designed and developed. Further, by incorporating a melting fiber, a method to shape and personalize three-dimensional piezo-resistive fabric structure that can conform to the human body through thermoforming principles can be proposed.
Researchers of Massachusetts Institute of Technology (MIT) - School of Architecture + Planning, Cambridge, MA/USA, present an approach to develop seamless and scalable piezo-resistive matrix-based intelligent textile using digital flat-bed and circular knitting machines. This results in an intimate and robust textile structure, eliminating sensor drifts and maximizing accuracy while ensuring comfortability. In this work, 3DKnITS textile design, fabrication approach, wireless hardware system, deep-learning enabled recognition methods, experimental results, and application scenarios are covered.
This digital knitting approach enables the fabrication of 2 to 3D pressure-sensitive textile interiors and wearables, including an intelligent mat, sock, and shoe that can be used for a variety of applications ranging from rehabilitation and sport science to gaming interfaces.