Three-dimensional Digital Knitting of Intelligent Textile Sensor for Activity Recognition and Biomechanical Monitoring
We present an approach to develop seamless and scalable piezo-resistive matrix-based intelligent textile using digital flat-bed and circular knitting machines. By combining and customizing functional and common yarns, we can design the aesthetics and architect and engineer both the electrical and mechanical properties of a sensing textile. Further, by incorporating a melting fiber, we propose a method to shape and personalize three-dimensional piezo-resistive fabric structure that can conform to the human body through thermoforming principles. It results in an intimate and robust textile structure, eliminating sensor drifts and maximizing accuracy while ensuring comfortability. In this work, we cover 3DKnITS textile design, fabrication approach, wireless hardware system, deep-learning enabled recognition methods, experimental results, and application scenarios. Our digital knitting approach enables the fabrication of 2 to 3D pressure-sensitive textile interiors and wearables, including an inte… View full description
Three-dimensional Digital Knitting of Intelligent Textile Sensor for Activity Recognition and Biomechanical Monitoring
We present an approach to develop seamless and scalable piezo-resistive matrix-based intelligent textile using digital flat-bed and circular knitting machines. By combining and customizing functional and common yarns, we can design the aesthetics and architect and engineer both the electrical and mechanical properties of a sensing textile. Further, by incorporating a melting fiber, we propose a method to shape and personalize three-dimensional piezo-resistive fabric structure that can conform to the human body through thermoforming principles. It results in an intimate and robust textile structure, eliminating sensor drifts and maximizing accuracy while ensuring comfortability. In this work, we cover 3DKnITS textile design, fabrication approach, wireless hardware system, deep-learning enabled recognition methods, experimental results, and application scenarios. Our 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.
A set of intelligent shoe and mats
Massachusetts Institute of Technology School of Architecture + Planning
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