For a long time, it seems that the people facing each other with X-rays penetrating the wall seem to be the imagination of science and technology. But in the past ten years, the latest research results from the research team of Professor Dina Katabi from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have brought us closer to this Seeing people through the wall "scene.
The research project of this group is called "RF-Pose", which can train wireless devices through artificial intelligence (AI) technology to perceive people's postures and movements, even on the other side of the wall.
The researchers used neural networks to analyze the radio signals reflected from the body of the human target and then created a dynamic abstract human figure. When the target performs actions such as walking, stopping, sitting or swinging the limbs, these humanoid figures will change accordingly.
The research team said that the RF-Pose project can be used to detect Parkinson's disease, multiple sclerosis (MS), and muscular dystrophy, so as to help patients better understand the progress of the disease and allow doctors to adjust drug treatment accordingly. It can also help seniors live a more independent life, monitor falls, injuries and changes in activity patterns, and provide additional monitoring effects. The team is currently working with doctors to explore the application of RF-Pose in healthcare.
Semiconductor Moly
Semiconductor Moly
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