Emotions can be tricky enough for humans to read, let alone machines, but a new system can predict people's feelings with 87 percent accuracy by bouncing wireless signals off them, researchers say.
The setup, dubbed EQ-Radio, analyzes the signal reflected off a subject's body to monitor both breathing and heartbeat. These physiological cues are commonly used to detect a person's emotions, but it typically requires hooking up the subject to a host of sensors.
Using a device smaller than a Wi-Fi router, researchers at MIT were able to monitor a person's breathing and heartbeat wirelessly. These measurements were then fed into a machine-learning algorithm that classified the subject’s emotion as excited, happy, angry or sad. The accuracy was similar to state-of-the-art wired approaches, the scientists said. [5 Ways Your Emotions Influence Your World (and Vice Versa)]
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