MIT engineers create programmable fibre that collects, stores, and analyzes data
Canadian PlasticsMaterials Research & Development
When sewn into clothing, the fibre could have implications for physical performance monitoring, medical inference, and early disease detection.
In a development that could have implications for physical performance monitoring, medical inference, and early disease detection, researchers at the Massachusetts Institute of Technology (MIT) have created fibre with digital capabilities, able to sense, store, analyze, and infer activity after being sewn into a shirt.
According to Yoel Fink – who is a professor in the departments of materials science and engineering and electrical engineering and computer science, a Research Laboratory of Electronics principal investigator, and the senior author on the study – digital fibres expand the possibilities for fabrics to uncover the context of hidden patterns in the human body.
Fink and his colleagues describe the features of the digital fibre today in Nature Communications. Until now, electronic fibres have been analog – carrying a continuous electrical signal – rather than digital, where discrete bits of information can be encoded and processed in 0s and 1s.
“This work presents the first realization of a fabric with the ability to store and process data digitally, adding a new information content dimension to textiles and allowing fabrics to be programmed literally,” Fink says.
MIT PhD student Gabriel Loke and MIT postdoc Tural Khudiyev are the lead authors on the paper. Other co-authors MIT postdoc Wei Yan; MIT undergraduates Brian Wang, Stephanie Fu, Ioannis Chatziveroglou, Syamantak Payra, Yorai Shaoul, Johnny Fung, and Itamar Chinn; John Joannopoulos, the Francis Wright Davis Chair Professor of Physics and director of the Institute for Soldier Nanotechnologies at MIT; Harrisburg University of Science and Technology master’s student Pin-Wen Chou; and Rhode Island School of Design Associate Professor Anna Gitelson-Kahn. The fabric work was facilitated by Professor Anais Missakian, who holds the Pevaroff-Cohn Family Endowed Chair in Textiles at RISD.
The new fibre was created by placing hundreds of square silicon microscale digital chips into a preform that was then used to create a polymer fibre. By precisely controlling the polymer flow, the researchers were able to create a fibre with continuous electrical connection between the chips over a length of tens of meters.
The fibre itself is said to be thin and flexible, and can be passed through a needle, sewn into fabrics, and washed at least 10 times without breaking down. “When you put it into a shirt, you can’t feel it at all,” Gabriel Loke said. “You wouldn’t know it was there.”
Making a digital fibre “opens up different areas of opportunities and actually solves some of the problems of functional fibres,” he says. For instance, it offers a way to control individual elements within a fibre, from one point at the fibre’s end. “You can think of our fibre as a corridor, and the elements are like rooms, and they each have their own unique digital room numbers,” Loke said. The research team devised a digital addressing method that allows them to “switch on” the functionality of one element without turning on all the elements.
A digital fibre can also store a lot of information in memory. The researchers were able to write, store, and read information on the fibre, including a 767-kilobit full-color short movie file and a 0.48 megabyte music file. The files can be stored for two months without power.
The fibre also takes a few steps forward into artificial intelligence by including, within the fibrr memory, a neural network of 1,650 connections. After sewing it around the armpit of a shirt, the researchers used the fibre to collect 270 minutes of surface body temperature data from a person wearing the shirt, and analyze how these data corresponded to different physical activities. Trained on these data, the fibre was able to determine with 96 per cent accuracy what activity the person wearing it was engaged in.
Adding an AI component to the fibre further increases its possibilities – fabrics with digital components can collect a lot of information across the body over time, and these “lush data” are perfect for machine learning algorithms, Loke says. “This type of fabric could give quantity and quality open-source data for extracting out new body patterns that we did not know about before,” he says.
With this analytic power, the fibres someday could sense and alert people in real-time to health changes like a respiratory decline or an irregular heartbeat, or deliver muscle activation or heart rate data to athletes during training.
The fibre is controlled by a small external device, so the next step will be to design a new chip as a microcontroller that can be connected within the fibre itself. “When we can do that, we can call it a fibre computer,” Loke says.
The research was supported by the U.S. Army Institute of Soldier Nanotechnologies, National Science Foundation, the U.S. Army Research Office, the MIT Sea Grant, and the Defense Threat Reduction Agency.