For the past decade, a team at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have been working on artificial intelligence (AI) x-ray vision. Today they announced The RF-Pose, technology that uses AI to teach wireless devices to track your movement through a wall.Check it out:
Monitoring how we move could offer valuable feedback to medical providers about how patients suffering from illnesses like Parkinson’s and multiple sclerosis (MS) are faring. It could also help elderly people who wish to age in their own homes and live independently, while still being monitored for injuries, falls and critical changes in activity.
“We’ve seen that monitoring patients’ walking speed and ability to do basic activities on their own gives healthcare providers a window into their lives that they didn’t have before, which could be meaningful for a whole range of diseases,” says Dina Katabi, co-author of the new paper that will be presented late June at the Conference on Computer Vision and Pattern Recognition (CVPR) in Salt Lake City, Utah. “A key advantage of our approach is that patients do not have to wear sensors or remember to charge their devices.”
The technology uses a neural network to analyze radio signals that bounce off our bodies to trace our figures and movements. “Just like how cell phones and Wi-Fi routers have become essential parts of today’s households, I believe that wireless technologies like these will help power the homes of the future,” says Katabi.
Other potential life-saving applications for RF-Pose are search-and-rescue efforts to locate trapped survivors. The researchers also claim they can use wireless signals to achieve 83% accuracy in identifying a particular individual out of a line-up of 100 people…Read More at