Detecting lies via facial muscles and machine learning, with Dino Levy
People Who Read People: A Behavior and Psychology Podcast
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Introduction
behavior dash is a podcast about understanding othe s and understanding ourselves. In this episode, i talk to dino leve who did research where they were able to detect lies with a 73 % accuracy rate on average. Their method involved attaching electrodes to subjects faces to monitor two groups of facial muscles. And at the end, we speculate a little bit about how this research could theoretically be used at the poker table with analysis algorithms to detect bluffing.
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