A team of researchers in Britain has developed a new technology based on artificial intelligence that can recognize internal human emotions through wireless signals.
The study, conducted by researchers at Queen Mary University in Britain and published in the scientific journal "Plus One", showed that it is possible to use radio waves to measure the speed of the heartbeat and breathing to identify the feeling or emotions of a person in the absence of any visual evidence such as facial expressions.
As part of the study, volunteers were asked to watch video clips to elicit four specific basic emotions: anger, sadness, joy and enjoyment. During the viewing, the researchers fired harmless radio waves at the volunteers, similar to radar or Wi-Fi waves, and then they received these waves again after they bounced off them and analyzed them to identify the slight biological changes that occurred in the volunteers´ bodies.
The researchers confirmed that, thanks to this technique, they were able to discover "hidden" secrets about the rates of human heart palpitations and the speed of breathing.
The researchers relied on deep learning techniques to interpret the various readings issued by the volunteers, after feeding the system with a set of data that help in understanding human emotions and their effects on the human body. The experiment demonstrated the possibility of relying on artificial intelligence to interpret physical signals more accurately than traditional methods of measurement.
TechExplore, a technology-oriented website, quoted researcher Ashinta Aven, a PhD student at Queen Mary University, as saying, "Deep learning techniques allow us to evaluate data in the same way the human mind does, by addressing different levels of information and then linking them in a logical way." . "
