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Our emotions might not stay private for long

#artificialintelligence

If there is any doubt in your mind that are not headed to a future where mind-machine meld is going to be the new norm, just look at Elon Musk's Neuralink's BCI. The animal trials are already underway, as claimed by Musk, a monkey with a wireless implant in his skull with tiny wires can play video games with his mind. Although designed to cure a wide variety of diseases, the experiment aligns with Musk's long-term vision of coming up with a brain-computer interface that is able to compete with increasingly powerful AIs. However, Neuralink's proposed device is an invasive one that requires fine threads that need to be implanted in the brain. And as if these invasive devices were not scary enough for a person like me, new breakthroughs in neuroscience and artificial intelligence might infiltrate our emotions -- the last bastion of personal privacy. Don't get me wrong, I am all for using the novel tech for healthcare purposes, but who is to say that this can't be used by nefarious players for mind control or "thought policing" by the State.


How AI Could Track and Use Your Emotions

#artificialintelligence

Artificial intelligence can now gauge human emotions, and it's being used in everything from education to marketing, experts say. Your emotions could potentially be tracked using your Wi-Fi router and analyzed by AI, according to a new study from London's Queen Mary University. Researchers used radio waves like those used in Wi-Fi to measure heart and breathing rate signals, which could determine how a person is feeling. The study shows just how pervasive emotion-monitoring could become. "In education, AI could be used in adapting content to serve the needs of each child best," Kamilė Jokubaitė, CEO and founder of Attention Insight, who was not involved in the study, said in an email interview.


Mood-Detecting Sensor Could Help Machines Respond to Emotions

IEEE Spectrum Robotics

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."


How to detect emotions remotely with wireless signals

#artificialintelligence

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.


Emotion recognition using wireless signals

Communications of the ACM

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,