Arts and Culture

This machine can read your emotions

Attendants stand in a line to pose for a picture outside the Great Hall of the People in Beijing, during the second plenary meeting of China's parliament, the National People's Congress (NPC) March 8, 2010. REUTERS/Jason Lee (CHINA - Tags: POLITICS SOCIETY ENVIRONMENT) - RTR2BCXK

Researchers bounced waves off subjects to measure their breathing patterns and heart rates. Image: REUTERS/Jason Lee

Clinton Nguyen
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Arts and Culture

Machines can now tell how you feel, even if you put on your best poker face.

Researchers at MIT's Computer Science and Artificial Intelligence Lab (CSAIL) have found a way to detect human emotions purely through radio signals. Using a device called the EQ-Radio, which emits and captures reflected radio frequency (RF) waves, the researchers bounced waves off subjects to measure their breathing patterns and heart rates.

That data was then run through an algorithm programmed to match physical factors with various emotional signifiers, which then categorized the person's emotion as one of four states: sadness, anger, pleasure, and joy.

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The MIT team took 12 participants and sat them three to four feet away from the device. The researchers instructed the subjects to recall a personal experience that made them feel a certain emotion. That established a "ground truth," or an emotion that the researchers could test to see if the machine would catch it.

The EQ-Radio then would use one of two methods to predict that subject's feelings: It could either use that person's "ground truth" as a baseline for future predictions, or use the baselines gathered from the other 11 participants' reported emotions. Each subject then recalled different experiences that triggered each of the four emotions the machine could detect, and the device measured heart and breathing rates in two-minute sequences for each emotion, totaling to 400 total segments across the 12 participants.

The device's predictions were startlingly accurate, especially when the EQ-Radio based its predictions on one person's baseline. In that case, the machine's emotional predictions were correct 87% of the time. When the machine based its predictions on other people's emotions, they were 72% accurate.

Researchers also found that heart rates, rather than breathing rates, were the bigger indicator of a person's emotional state (after all, you can mask your breathing, but your heart is harder to control).

The CSAIL researchers note that the results were comparable to an ECG, an electrocardiograph, which recognizes emotions via electrical signals picked up by electrodes on a user's body. But with the new device, researchers wouldn't need to put electrodes on your body to measure your emotions (or run an interrogation-like emotion detector test like that scene in "Blade Runner.")

One day soon, researchers who really want to know how you feel will likely be able to simply blast some radio waves in your direction.

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Arts and CultureBehavioural SciencesEmerging Technologies
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