University of Houston professors identify super thin wearable device

Data collecting skin

The device is lighter than a Band-Aid and could be used as robot skin to track movement and health conditions. Photo via uh.edu

Imagine a wearable device so thin it's less noticeable and lighter than a Band-Aid but can track and record important health information. According to some University of Houston researchers, you might not need to imagine it at all.

A recent paper, which ran as the cover story in Science Advances, identified a wearable human-machine interface device that is so thin a wearer might not even notice it. Cunjiang Yu, a Bill D. Cook associate professor of Mechanical Engineering at the University of Houston, was the lead author for the paper.

"Everything is very thin, just a few microns thick," says Yu, who also is a principal investigator at the Texas Center for Superconductivity at UH, in a release. "You will not be able to feel it."

The device is reported in the paper to be made of a metal oxide semiconductor on a polymer base. It could be attached to a robotic hand or prosthetic, as well as other robotic devices, that can collect and report information to the wearer.

"What if when you shook hands with a robotic hand, it was able to instantly deduce physical condition?" Yu asks in the release.

The device could also be used to help make decisions in situations that are hazardous to humans, such as chemical spills.

Current devices on the market or being developed are much slower to respond and bulkier to wear, not to mention expensive to develop.

"We report an ultrathin, mechanically imperceptible, and stretchable (human-machine interface) HMI device, which is worn on human skin to capture multiple physical data and also on a robot to offer intelligent feedback, forming a closed-loop HMI," the researchers write in the paper. "The multifunctional soft stretchy HMI device is based on a one-step formed, sol-gel-on-polymer-processed indium zinc oxide semiconductor nanomembrane electronics."

The paper's co-authors, in addition to Yu, include first author Kyoseung Sim, Zhoulyu Rao, Faheem Ershad, Jianming Lei, Anish Thukral, and Jie Chen, who are all from UH; Zhanan Zou and Jianliang Xiao of the University of Colorado; and Qing-An Huang of Southeast University in Nanjing, China.


Soft Wearable Multifunctional Human-Machine Interfaces (HMIs)www.youtube.com

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Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

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