UK’s Bath University finds conductive seams can track body motion
July 13, 2021 - United Kingdom
Computer scientists at the University of Bath have found that garment seams sewn with conductive yarn can be used to accurately track body motion, if these seams are positioned strategically. These conductive seams respond even to subtle movements that otherwise cannot be tracked by popular fitness trackers, such as watches and wristbands.
The team said that clothing made with conductive seams can be analysed to identify a wearer’s movements.
Engineering doctorate student Olivia Ruston, who presented the work at the ACM Designing Interactive Systems conference, said: “There are lots of potential applications for conductive yarn in any activity where you want to identify and improve the quality of a person’s movement. This could be very helpful in physiotherapy, rehabilitation, and sports performance.”
Scientists have been creating flexible, textile sensors for garments for some time, but the Bath project is the first where researchers have experimented with the location and concentration of conductive seams. They found that where seams are placed on a garment, and the number of seams that are added, are important considerations in the design of a movement-tracking smart garment.
Ruston, who is based at the Centre for Digital Entertainment (CDE) – an EPSRC-funded doctoral training centre – said: “There’s great potential to exploit the wearing of clothing and tech – a lot of people are experimenting with e-textiles, but we don’t have a coherent understanding between technologists and fashion designers, and we need to link these groups up so we can come up with the best ideas for embedding tech into clothing.”
The yarn used by Ruston and her team comprises a conductive core that is a hybrid metal-polymer resistive material intended for stretch and pressure sensing. Once incorporated into a garment’s seam, it is activated at low voltages. The resistance fluctuates as body movement varies the tension across the seams.
In the study, the seams were connected to a microcontroller, and then a computer, where the voltage signal was recorded.
Professor Mike Fraser, co-author and head of Computer Science, said: “Our work provides implications for sensing-driven clothing design. As opportunities for novel clothing functionality emerge, we believe intelligent seam placement will play a key role in influencing design and manufacturing processes. Ultimately, this could influence what is considered fashionable.”
The team said that clothing made with conductive seams can be analysed to identify a wearer’s movements.
Engineering doctorate student Olivia Ruston, who presented the work at the ACM Designing Interactive Systems conference, said: “There are lots of potential applications for conductive yarn in any activity where you want to identify and improve the quality of a person’s movement. This could be very helpful in physiotherapy, rehabilitation, and sports performance.”
Scientists have been creating flexible, textile sensors for garments for some time, but the Bath project is the first where researchers have experimented with the location and concentration of conductive seams. They found that where seams are placed on a garment, and the number of seams that are added, are important considerations in the design of a movement-tracking smart garment.
Ruston, who is based at the Centre for Digital Entertainment (CDE) – an EPSRC-funded doctoral training centre – said: “There’s great potential to exploit the wearing of clothing and tech – a lot of people are experimenting with e-textiles, but we don’t have a coherent understanding between technologists and fashion designers, and we need to link these groups up so we can come up with the best ideas for embedding tech into clothing.”
The yarn used by Ruston and her team comprises a conductive core that is a hybrid metal-polymer resistive material intended for stretch and pressure sensing. Once incorporated into a garment’s seam, it is activated at low voltages. The resistance fluctuates as body movement varies the tension across the seams.
In the study, the seams were connected to a microcontroller, and then a computer, where the voltage signal was recorded.
Professor Mike Fraser, co-author and head of Computer Science, said: “Our work provides implications for sensing-driven clothing design. As opportunities for novel clothing functionality emerge, we believe intelligent seam placement will play a key role in influencing design and manufacturing processes. Ultimately, this could influence what is considered fashionable.”