The patch detects lies through facial muscle movements

A team of Israeli researchers recently developed technology that tracks facial muscle movements to detect when someone is lying.

According to Oddity Central (UK), using electrode pads that monitor and measure the activity of muscles and nerves, a team of researchers led by Professor Dino Levy from Tel Aviv University First, have found that some people inadvertently activate the muscles in their cheeks and eyebrows when they lie.

The patch carries electrodes that monitor and measure the activity of muscles and nerves. (Photo: X-trodes).

No sensor has previously been able to measure these very fine motor things, but the innovative sensors invented by Professor Yael Hanein have demonstrated the ability to detect lies with extremely high accuracy. . Tests show lie detection accuracy up to 73%, higher than any other technology currently available. The lie detector patch is commercially offered by the Israeli company X-trodes.

'Many studies have shown that it is virtually impossible to tell when someone is lying. Even experts, such as police investigators, have only a little more professional experience than the average person,' Professor Levy said.

Professor Levy also said that current lie detectors are not reliable. Common methods are through a device that measures and records physical signs such as blood pressure, heart rate, breathing rate during questioning. But their results are not accepted as evidence before the court of law. There are people who are very good at learning how to control their heart rate and fool machines. Therefore, they believe that the world urgently needs a more accurate lie detection technology.

Based on the argument that people's facial muscles move when they lie, Professor Levy's team attached patches with special electrodes to two muscle groups on the face, including the cheek muscles near the lips and the cheek muscles. muscles on the eyebrows of test participants. Using this method, the researchers classified two different groups of liars - those whose cheek muscles move when lying and those that move their eyebrows. The results show that the ability to detect lies reaches 73%.

'In this study, we had the advantage of knowing what the participants heard through the headphones, and therefore also knowing when they were lying. Therefore, using advanced machine learning techniques, we trained our program to identify lies based on the electromyographic signals coming from the electrodes," said Professor Levy.

Now, scientists are accelerating the completion of the experimental phase and studying how to eliminate the use of electrodes. At the same time, build an artificial intelligence algorithm to detect subtle muscle movements simply by analyzing high-resolution camera footage. When the lie detection rate is accurate enough, the technology could be used in police interrogation investigations, at airports, or in job interviews online and in a job interview. number of other applications.

Scientists also think that it is very difficult for humans to control their facial muscles the way they control their heart rate to fool conventional lie detectors.