Posted in | News | Biosensors

"Electronic Skin" Sensors Can Mimic the Dynamic Process of Human Motion

An international research team has developed "electronic skin" sensors capable of mimicking the dynamic process of human motion. This work could help severely injured people, such as soldiers, regain the ability to control their movements, as well as contribute to the development of smart robotics, according to Huanyu "Larry" Cheng, Dorothy Quiggle Early Career Professor in the Penn State Department of Engineering Science and Mechanics.

Cheng and collaborating researchers based in China published their work in a recent issue of Nano Energy.

"The skin of the human hand is amazing -- that's what we tried to imitate," Cheng said. "How do we capture texture and force- What about the years of evolution that produced the impressive sensitivity of the fingertip- We're attempting to reproduce this biological and dynamic process to enable objects to behave similarly to the human hand."

The dual-mode sensor measures both the magnitude and load of movement, such as the effort of swinging a tennis racquet, as well as rate, duration and direction. The trick was to decouple this measurement and understand how the separate parameters influence each other.

For example, bouncing a tennis ball gently on a racquet requires different input than serving a ball to an opponent. Those same variables come into play when a person with a prosthetic arm needs to differentiate between handling an egg or carrying a watermelon.

"We can apply these sensors to help people capture the magnitude for pressing, bending and more," Cheng said. "We can also use these sensors on soft robotics to manipulate delicate objects, like catching a fish, or even in a disaster when they may need to crawl into irregular spaces and move debris."

The data is informed by synergy created between the piezoelectric and piezoresistive signals, according to Cheng. Piezoelectric signals measure outside force -- such as pressure -- to create electrical charge, while piezoresistive signals mitigate the current.-The dual mode sensors are sandwiched together, with two internal layers of pyramid-shaped microstructures facing one another. The microstructures measure magnitude and duration measurements from the piezoresistive layer and the dynamic loading rate and direction from the piezoelectric layer. This synergistic effect allows for a high sensitivity over a broad pressure and frequency range, meaning that researchers can precisely measure the force and flexibility needed to imitate specific movements.

"We combined the best of the best models and sensors to create something new," Cheng said.

Penn State has filed a provisional patent for the developed technology. This work was funded in part by The National Science Foundation of China, the Zhejiang Provincial Natural Science Foundation of China, the Fundamental Research Funds for the Provincial Universities of Zhejiang, the 111 Project and the Zhejiang Lab's International Talent Fund for Young Professionals partially funded this research.

Cheng collaborated with the following individuals affiliated with Zhejiang University of Technology: Ye Qiu, visiting doctoral student in engineering science and mechanics; Ye Tian, assistant professor; Shenshen Sun and Jiahui Hu, both graduate students in mechanical engineering; Youyan Wang, researcher; Zheng Zhang, professor; Weizhan Gao, graduate student in control science and engineering; Wen-An Zhang, professor; and Hao Chai, lecturer. Qui, Tian, Sun, Hu, Wang and Zhang are also affiliated with the Key Laboratory of Special Purpose Equipment and Advanced Processing Technology.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.