A team of researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a device that can measure human inner emotional states using wireless signals.
Using EQ-Radio, which emits and captures reflected radio frequency (RF) waves, the team bounced waves off a person’s body to measure subtle changes in breathing patterns and heart rates.
This data was then run through a bunch of algorithms and a machine-learning process programmed to match a person's behavior to how they acted previously, categorizing the person's emotion as one of the four emotional states: Pleasure, Joy, Anger and Sadness.
The impressive part about the technique:
"The whole thing started by trying to understand how we can extract information about people’s emotions and health in general using something that’s completely passive—does not require people to wear anything on their body or have to express things themselves actively," says Prof. Dina Katabi, who conducted the research along with graduate students Mingmin Zhao and Fadel Adib.
In its test, the team says if their device is trained on each subject separately, it measures emotions with 87 percent accuracy and 72.3 percent accuracy when using a single classifier for all subjects.
EQ Radio uses the same carrier frequency as Wi-Fi, but with about 1,000 times less power, which means the system could be integrated into an existing Wi-Fi router or other devices that transmit and receives wireless signals.
According to the researchers, EQ-Radio, and similar systems may help in some practical situations, like:
- movie makers and advertisers could use it to better evaluate people's reactions to their work in real time;
- doctors could use it to diagnose mental health conditions like depression or bipolar disorder; and
- it could also integrate into smart homes, adjust temperature, lighting, and music automatically to match the user's mood...
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