Sensor glove aims to help curb trichotillomania
Undergraduate engineers have created a prototype glove that senses when someone with trichotillomania reaches to pull out hair.
A new glove device aims to help people with trichotillomania, or compulsive hair-pulling.
Senior undergraduates are developing a glove-based sensor that tracks hand motion and flexing, combined with a smartphone app that tracks behavior over time. The glove incorporates flex and other sensors along with a gyroscope that sense when a hair-pull has happened. The glove sends data to the app, which keeps track of “no-pull” streaks.
“The reward for every week you don’t pull your hair could be monetary or something as simple as a congratulations on the app,” says Linda Liu, a student in Rice University’s Brown School of Engineering.
Trichotillomania is a mental disorder often considered among the obsessive compulsive and related disorders. Those with the disorder often remove hair to a noticeable, and even painful, degree.
“One of our challenges is that we need to get treatment even more effective,” says one of the team’s advisors, Eric Storch, professor and vice chair of psychiatry and behavioral sciences in the Menninger Department of Psychiatry and Behavioral Sciences at Baylor College of Medicine.
“We want to increase the awareness people have when they’re pulling their hair out in a more effective manner. The products out there now are great, but they fire without sensitivity or specificity. You reach up and it goes off, so you learn pretty quickly to ignore it.”
The students gathered mostly online during the pandemic. Browsing a Reddit community dedicated to trichotillomania helped them get a sense of the real-world issues and possible ways to address them. “We saw that something just as easy as applause or awareness of your successes are things we can incorporate into the gamification side,” Liu says.
“Our Baylor sponsor had a system in mind that would use gamification as a model, providing rewards for users to condition them not to pull their hair,” she adds.
With that knowledge, the team shifted its focus to technology that would provide accurate detection. Liu also notes motion-tracking wristbands currently marketed as devices for trichotillomania patients return “a lot of false positives.”
The team’s rough prototype is a regular work glove with sensors that run up the fingers and feed data to a microcontroller that communicates wirelessly to a phone app. “The glove allows us to have electrical tape, wires, and everything attached to it and still function and feel comfortable,” says team member Saideep Narendrula.
“The sensors look at the flexing of fingers you’re going to use for pinching movements as well as your hand movements,” he says. “We know not only when you’re pulling your hair but also when you’re about to pull your hair. Having this information easily accessible to a patient is really where our device shines.”
They hope teams that pick up the project in future years will make the glove sleek and more fashionable.
“It’s not the prettiest design right now, since we’re still in the prototyping phase,” Liu says.
“We really want to focus on showing real results through identification of the motions,” Narendrula adds. “But one of our suggestions for moving forward is to have a nice, well-designed glove with maybe an ounce of fashion. That’s outside our expertise, but with our current design, everything can be hidden inside the glove.”
Additional advisors of the student team are Sabia Abidi, lecturer in bioengineering at Rice, and Gary Woods, professor in the practice of electrical and computer engineering.
Source: Rice University