JUL 12, 2022 10:00 AM PDT

Smart textiles detect, sense posture and motion

Researchers at the Massachusetts Institute of Technology (MIT) Media Lab have created a novel fabrication process to produce smart textiles that comfortably conform to a user’s body while being able to sense the wearer’s posture and motions. Using a process called thermoforming where a special type of plastic yarn is heated to slightly melt it, the researchers were able to improve the accuracy of pressure sensors woven into multilayered knit textiles, which the team calls 3DKnITS. The results of this study will be presented at the IEEE Engineering in Medicine and Biology Society Conference.

"With digital knitting, you have this freedom to design your own patterns and also integrate sensors within the structure itself, so it becomes seamless and comfortable, and you can develop it based on the shape of your body," said Irmandy Wicaksono, a research assistant in the MIT Media Lab and lead author of the study.

Using 3DKnITS, the research team created a “smart” shoe and mat, followed by building a hardware and software system capable of measuring and interpreting real-time data from the pressure sensors. An individual then performed yoga poses on the smart textile mat while the machine-learning system was able to accurately predict the individual’s motions and poses 99 percent of the time.

"Some of the early pioneering work on smart fabrics happened at the Media Lab in the late '90s. The materials, embeddable electronics, and fabrication machines have advanced enormously since then," said co-author Jospeh A. Paradiso, an Alexander W. Dreyfoos Professor and Director of the Responsive Environments group within the Media Lab. "It's a great time to see our research returning to this area, for example through projects like Irmandy's -- they point at an exciting future where sensing and functions diffuse more fluidly into materials and open up enormous possibilities."

Wicaksono now plans to refine the circuit and machine learning model since the fabrication technique has been deemed a success. This refinement involves the removing a time-consuming calibration step which currently needs to be done to each individual before the system can classify actions. Once this is done, 3DKnITS will be easier to use. Along with that, the researchers also hope to conduct tests on smart shoes outside of the lab to test how the accuracy of the sensors are affected by environmental conditions such as temperature and humidity.

As always, keep doing science & keep looking up!

About the Author
MSc in Geological Sciences
Laurence Tognetti is a six-year USAF Veteran who earned both a BSc and MSc from the School of Earth and Space Exploration at Arizona State University. Laurence is extremely passionate about outer space and science communication, and is the author of “Outer Solar System Moons: Your Personal 3D Journey”.
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