Smartly dressed: Researchers develop clothes that sense movement via touch

Measuring a person's movements and poses, smart clothes could be used for athletic training, rehabilitation, or health-monitoring.

A close up of a woman's hand weaving threads on a machine.

In recent years there have been exciting breakthroughs in wearable technologies, like smartwatches that can monitor your breathing and blood oxygen levels.


But what about a wearable that can detect how you move as you do a physical activity or play a sport, and could potentially even offer feedback on how to improve your technique?

And, as a major bonus, what if the wearable were something you'd actually already be wearing, like a shirt of a pair of socks?

That's the idea behind a new set of MIT-designed clothing that use special fibers to sense a person's movement via touch. Among other things, the researchers showed that their clothes can actually determine things like if someone is sitting, walking, or doing particular poses.

The group from MIT's Computer Science and Artificial Intelligence Lab (CSAIL) says that their clothes could be used for athletic training and rehabilitation. With patients' permission, they could even help passively monitor the health of residents in assisted-care facilities and determine if, for example, someone has fallen or is unconscious.

The researchers have developed a range of prototypes, from socks and gloves to a full vest. The team's "tactile electronics" use a mix of more typical textile fibers alongside a small amount of custom-made functional fibers that sense pressure from the person wearing the garment.

According to CSAIL graduate student Yiyue Luo, a key advantage of the team's design is that, unlike many existing wearable electronics, theirs can be incorporated into traditional large-scale clothing production. The machine-knitted tactile textiles are soft, stretchable, breathable, and can take a wide range of forms.

"Traditionally it's been hard to develop a mass-production wearable that provides high-accuracy data across a large number of sensors," says Luo, lead author on a new paper about the project that is appearing in this month's edition of Nature Electronics. "When you manufacture lots of sensor arrays, some of them will not work and some of them will work worse than others, so we developed a self-correcting mechanism that uses a self-supervised machine learning algorithm to recognize and adjust when certain sensors in the design are off-base."

The team's clothes have a range of capabilities. Their socks predict motion by looking at how different sequences of tactile footprints correlate to different poses as the user transitions from one pose to another. The full-sized vest can also detect the wearers' pose, activity, and the texture of the contacted surfaces.

The authors imagine a coach using the sensor to analyze people's postures and give suggestions on improvement. It could also be used by an experienced athlete to record their posture so that beginners can learn from them. In the long term, they even imagine that robots could be trained to learn how to do different activities using data from the wearables.

"Imagine robots that are no longer tactilely blind, and that have 'skins' that can provide tactile sensing just like we have as humans," says corresponding author Wan Shou, a postdoc at CSAIL. "Clothing with high-resolution tactile sensing opens up a lot of exciting new application areas for researchers to explore in the years to come."

The paper was co-written by MIT professors Antonio Torralba, Wojciech Matusik, and Tomás Palacios, alongside PhD students Yunzhu Li, Pratyusha Sharma, and Beichen Li; postdoc Kui Wu; and research engineer Michael Foshey.

The work was partially funded by Toyota Research Institute.

Reprinted with permission of MIT News. Read the original article.

Archaeologists identify contents of ancient Mayan drug containers

Scientists use new methods to discover what's inside drug containers used by ancient Mayan people.

A Muna-type paneled flask with distinctive serrated-edge decoration from AD 750-900.

Credit: WSU
Surprising Science
  • Archaeologists used new methods to identify contents of Mayan drug containers.
  • They were able to discover a non-tobacco plant that was mixed in by the smoking Mayans.
  • The approach promises to open up new frontiers in the knowledge of substances ancient people consumed.
Keep reading Show less

The strange case of the dead-but-not-dead Tibetan monks

For some reason, the bodies of deceased monks stay "fresh" for a long time.

Credit: MICHEL/Adobe Stock
Surprising Science
  • The bodies of some Tibetan monks remain "fresh" after what appears to be their death.
  • Their fellow monks say they're not dead yet but in a deep, final meditative state called "thukdam."
  • Science has not found any evidence of lingering EEG activity after death in thukdam monks.
Keep reading Show less

What do Olympic gymnasts and star-forming clouds have in common?

When Olympic athletes perform dazzling feats of athletic prowess, they are using the same principles of physics that gave birth to stars and planets.

Credit: sportpoint via Adobe Stock
13-8
  • Much of the beauty of gymnastics comes from the physics principle called the conservation of angular momentum.
  • Conservation of angular momentum tells us that when a spinning object changes how its matter is distributed, it changes its rate of spin.
  • Conservation of angular momentum links the formation of planets in star-forming clouds to the beauty of a gymnast's spinning dismount from the uneven bars.
Keep reading Show less
Culture & Religion

Of spies and wars: the secret history of tea

How the British obsession with tea triggered wars, led to bizarre espionage, and changed the world — many times.

Quantcast