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| From joy to sadness, facial expressions could soon be decipherable to robots.
Credit: mtr/iStock/Thinkstock |
Abstract:
Most people are naturally adept at reading facial expressions -- from smiling and frowning to brow-furrowing and eye-rolling -- to tell what others are feeling. Now scientists have developed ultra-sensitive, wearable sensors that can do the same thing. Their technology, reported in the journal ACS Nano, could help robot developers make their machines more human.
Making robots more human
Washington, DC | Posted on April 29th, 2015Nae-Eung Lee and colleagues note that one way to make interactions between people and robots more intuitive would be to endow machines with the ability to read their users' emotions and respond with a computer version of empathy. Most current efforts toward this goal analyze a person's feelings using visual sensors that can tell a smile from a frown, for example. But these systems are expensive, highly complex and don't pick up on subtle eye movements, which are important in human expression. Lee's team wanted to make simple, low-cost sensors to detect facial movements, including slight changes in gaze.
The researchers created a stretchable and transparent sensor by layering a carbon nanotube film on two different kinds of electrically conductive elastomers. They found it could tell whether subjects were laughing or crying and where they were looking. In addition to applications in robotics, the sensors could be used to monitor heartbeats, breathing, dysphagia (difficulty swallowing) and other health-related cues.
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The authors acknowledge funding from the National Research Foundation of Korea.
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About American Chemical Society
The American Chemical Society is a nonprofit organization chartered by the U.S. Congress. With more than 158,000 members, ACS is the world's largest scientific society and a global leader in providing access to chemistry-related research through its multiple databases, peer-reviewed journals and scientific conferences. Its main offices are in Washington, D.C., and Columbus, Ohio.
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Contacts:
Michael Bernstein
202-872-6042
Nae-Eung Lee, Ph.D.
Department of Materials Science and Engineering
SKKU Advanced Institute of Nanotechnology (SAINT)
and Samsung Advanced Institute for Health Sciences and Technology (SAIHST)
Sungkyunkwan University (SKKU)
Suwon, Kyunggi-do 440-746, Korea
Copyright © American Chemical Society
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