MIT Media Lab | 3DKnITS: Three-dimensional Digital Knitting of Intelligent Textile Sensor @MITMediaLab | Uploaded June 2022 | Updated October 2024, 24 minutes ago.
3DKnITS: 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.
For more information visit: https://www.media.mit.edu/projects/3dknits/overview/
3DKnITS: 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.
For more information visit: https://www.media.mit.edu/projects/3dknits/overview/
![[Bike] Swarm](https://i.ytimg.com/vi/wUl-CHJ6DK0/hqdefault.jpg "[Bike] Swarm
As bikes navigate city streets after dark, they are often equipped with lights. The lights make the bikes visible to cars or other bikers, and the hazards of traffic less dangerous.
Imagine that as solitary bikes come together, their lights begin to pulsate at the same cadence. The bikers may not know each other, or may only be passing each other briefly, but for the moments they are together, their lights synchronize. The effect is a visually united presence, as groups of bikes illuminate themselves with a gently pulsing, collective light source.
We built this light system. We designed a synchronization protocol and algorithm, as well as physical prototypes that we fabricated and tested on our local city streets.
Our system is designed for deployment in a city, yet draws inspiration from nature.
More information at: https://www.media.mit.edu/projects/bike-swarm/overview/
Note: Video has no spoken audio. Music plays throughout.")
