Communications of the ACM
Technology Exposes 'Liars' Through Examination of Facial Muscles
Credit: Getty Images
Technology developed by researchers at Tel Aviv University detected 73% of the lies told by trial participants based on the contraction of their facial muscles, a higher rate of detection than any known method.
The study was founded upon an innovation from the laboratory of Professor Yael Hanein of of TAU's Center of Nanoscience and Nanotechnology: stickers printed on soft surfaces containing electrodes that monitor and measure the activity of muscles and nerves.
The technology is described in "Lie to My Face: An Electromyography Approach to the Study of Deceptive Behavior," published in the journal Brain and Behavior.
"Using advanced machine learning techniques, we trained our program to identify lies based on EMG [electromyography] signals coming from the electrodes," says Professor Dino Levy from TAU's Coller School of Management. "Applying this method, we achieved an accuracy of 73%, much better than any existing technology."
From Tel Aviv University
View Full Article
No entries found