In my day, even wireless signals can help you understand your emotions.

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Tencent Digital (Wen Xin) According to the “Wall Street Journal” website report, with the help of an experimental device announced by MIT researchers on Tuesday local time, the future walls may “know” the user's emotions. By monitoring subtle changes in breathing and heartbeat, the device uses wireless signals to identify the user's emotions.

Computer scientist Dina Katabi and her colleagues at the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory developed a radar system for detecting vital sign signals, using reflected radar signal tracking Human activities, emotions and behaviors, this system may be applied to smart homes, offices and hospitals.

The Cartab research team published research papers online on Tuesday local time and plans to announce their test results at a mobile computing conference next month.

The researchers said that the wireless signal emitted by the radar system - which is equivalent to one thousandth of the intensity of the traditional WiFi signal - can be reflected back from the people in the coverage area to capture subtle changes in vital signs. The computer algorithm will analyze the user's vital signs. Signal to determine the emotional state of a person.

Kataby said that “people have many things in common when it comes to affecting vital signs. The accuracy of our test results is very high, and we can notice changes in heartbeat time in milliseconds.”

According to the researchers, the accuracy of a system called EQ-Radio can reach 87% in judging a person's emotions.

The Wall Street Journal stated that while still in the experimental phase, this radar system may one day give buildings the ability to automatically respond to changes in the vital signs of people who live or work in them, without requiring the user to send a clear message. Instruction, the building also does not need to be directly connected with the sensor on the human body.

Hospital emergency rooms may automatically monitor the health of patients waiting to be treated. The playground can adjust special effects based on the user's unconscious reaction. The room can play cheerful music and help the family reduce stress.

Fadel Adib, the project's researcher, said, “We are exploring ways to make room and home devices recognize the user's facial expressions and make adjustments accordingly. This system enables users to seamlessly interact with the room and home devices. interactive."

The Kataby team is already testing an earlier version of the system, tracking the activities of about 15 families in the Boston area, including the family of Kataby. She uses the system to monitor her sleep patterns and eating habits. Even if people are in other rooms, the system can track their activities.

Katabi said, "I hope the future of the room and home equipment can better understand people's health."

According to a paper published on Tuesday local time, Katabe and his colleagues tested the system on 10 men and 20 women, who were between the ages of 19 and 77. The test environment is a standard office environment that includes office furniture, couches and computers.

During the test, the volunteers were sitting 3-10 feet (0.9-3.1 meters) away from the wireless sensor, triggering specific emotions by recalling past events. Researchers also monitor volunteer vital signs through traditional electrocardiograms and video-based facial expression recognition systems.

The researchers collected a total of 130,000 heartbeat data. To classify changes in mood, computers use machine learning algorithms to process the waveforms of each heartbeat.

The Wall Street Journal said that when comparing results, the researchers found that the accuracy of the new system is comparable to the ECG in identifying emotional changes, which is about 2 times that of a video-based expression recognition system.

Kataby said, "We use wireless signals to obtain changes in vital signs and then use machine learning algorithms to get the user's emotional state. The algorithm can instantly recognize the user's emotions."

Source: The Wall Street Journal

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