But the biggest difference in the age of AI is how analytics tools will see beyond what is visible to the naked eye. Take the EQ-Radio, for instance. In 2016, MIT researchers broke new ground in the field of emotionally intelligent machines. They unveiled a device that purportedly measures a person's heartrate and breathing to determine their emotional state – all without physical contact. The EQ-Radio bounces signals off a person's body and decodes their vital signs through algorithms.

This paper demonstrates a new technology that can infer a person's emotions from RF signals reflected off his body. EQ-Radio transmits an RF signal and analyzes its reflections off a person's body to recognize his emotional state (happy, sad, etc.). The key enabler underlying EQ-Radio is a new algorithm for extracting the individual heartbeats from the wireless signal at an accuracy comparable to on-body ECG monitors. The resulting beats are then used to compute emotion-dependent features which feed a machine-learning emotion classifier. We describe the design and implementation of EQ-Radio, and demonstrate through a user study that its emotion recognition accuracy is on par with state-of-the-art emotion recognition systems that require a person to be hooked to an ECG monitor. Emotion recognition is an emerging field that has attracted much interest from both the industry and the research community.13, If we can, such machines would enable smart homes that react to our moods and adjust the lighting or music accordingly. Movie makers would have better tools to evaluate user experience. Advertisers would learn customer reaction immediately. Computers would automatically detect symptoms of depression, anxiety, and bipolar disorder, allowing early response to such conditions. More broadly, machines would no longer be limited to explicit commands, and could interact with people in a manner more similar to how we interact with each other. Existing approaches for inferring a person's emotions either rely on audiovisual cues, such as images and audio clips,22, 42, 48 or require the person to wear physiological sensors like an Electrocardiogram (ECG) monitor.7,

Facebook will "cure, prevent, or manage all diseases in our children's lifetime." A new MIT computer responds to human emotions with almost 90% accuracy. NASA and Made in Space are going to turn asteroids into spaceships." Facebook will "cure, prevent, or manage all diseases in our children's lifetime." A new MIT computer responds to human emotions with almost 90% accuracy. NASA and Made in Space are going to turn asteroids into spaceships."

MIT researchers from have developed "EQ-Radio," a device that can detect a person's emotions using wireless signals. By measuring subtle changes in breathing and heart rhythms, EQ-Radio is 87 percent accurate at detecting if a person is excited, happy, angry or sad -- and can do so without on-body sensors, according to the researchers. MIT professor and project lead Dina Katabi of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) envisions the system being used in health care and testing viewers' reactions to ads or movies in real time. Using wireless signals reflected off people's bodies, the device measures heartbeats as accurately as an ECG monitor, with a margin of error of approximately 0.3 percent, according to the researchers. It then studies the waveforms within each heartbeat to match a person's behavior to how they previously acted in one of the four emotion-states.

Are you good at hiding your feelings? No issues, your Wi-Fi router may soon be able to tell how you feel, even if you have a good poker face. 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. Dubbed EQ-Radio, the new device measures heartbeat, and breath to determine whether a person is happy, excited, sad, or angry. 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.

Photographic cues have helped systems like Microsoft's Emotion API detect human feelings with decent accuracy, but a new research project from MIT's Computers Science and Artificial Intelligence lab can interpret emotions with a greater degree of accuracy, using only wireless radio signals. Researchers at CSAIL have created a device they call the EQ-Radio, which can pick up emotions including excitement, sadness, anger and happiness with around 87 percent accuracy in tests thus far. The research is significant because it doesn't actually require any on-body sensors, either, even though it's detecting subtle cues from the subject including breathing patterns and heart rhythm. And since it requires nothing worn by the user, and avoids the accuracy pitfalls of something like camera-based facial recognition software, its creators believe it could be the ideal tech for companies looking to build some kind of emotional intelligence into their products. MIT professor Dina Katabi led the development of the EQ-Radio, and suggests that it could be used in varying ways across the entertainment, consumer advertising and healthcare verticals. You could, for instance, use it in smart TVs to more accurately gauge viewer response to ads and programming; or you could build it into a smart home hub to trigger automated actions with connected devices like stereos and lighting, adjusting the mood of you home to counter or augment your emotions.

Computer scientists have developed a new technique to measure human emotions wirelessly. CBC Radio technology columnist Dan Misener explains how. In the past, this has been done with electrocardiography (ECG) monitors -- electrodes strapped to the body. But a team at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) has built a device that can do this without wires. They call it EQ-Radio, and in a lot of ways, the device is similar to a Wi-Fi router.

Emotions can be detected remotely using a device that emits wireless signals to help it measure heartbeat and breathing, say researchers at MIT's Computer Science and Artificial Intelligence Laboratory. The new device, named "EQ-Radio," is 87 percent accurate at detecting whether a person is excited, happy, angry or sad--all without on-body sensors or facial-recognition software. "We picture EQ-Radio being used in entertainment, consumer behavior, and healthcare," says the study's lead researcher, Mingmin Zhao. "For example," says Zhao, a graduate student, "smart homes could use information about your emotions to adjust the music or even suggest that you get some fresh air if you've been sad for a few days." Zhao adds that remote emotion monitoring could eventually be used to diagnose or track conditions like depression and anxiety."

You can lie to your partner, your best friends and even your mom, but you can't lie to EQ-Radio. It's a device out of MIT"s Computer Science and Artificial Intelligence Lab (CSAIL) that can tell how you truly feel by bouncing wireless signals off your body. Yep, you don't need to be connected to the device with ECG patches and wires. EQ-Radio has algorithms that can extract your heartbeat from the signals your body reflects. It then analyzes each heartbeat and compares it to your previous measurements. According to the team, the device is 87 percent accurate with your measurements on file, but it's still up to 70 percent accurate without them.