The team says that RF-Pose could be used to monitor diseases like Parkinson’s, multiple sclerosis (MS), and muscular dystrophy, providing a better understanding of disease progression and allowing doctors to adjust medications accordingly. It could also help elderly people live more independently, while providing the added security of monitoring for falls, injuries and changes in activity patterns. The team is currently working with doctors to explore RF-Pose’s applications in health care.
All data the team collected has subjects' consent and is anonymized and encrypted to protect user privacy. For future real-world applications, they plans to implement a “consent mechanism” in which the person who installs the device is cued to do a specific set of movements in order for it to begin to monitor the environment.
MIT makes AI that uses radio signals to sense people through walls
Posted on Friday, June 15 2018 @ 12:56 CEST by Thomas De MaesschalckResearchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) developed a new deep learning agent that can sense people through walls. This feat is achieved via the analysis of radio signals, it allows the algorithm to monitor someone's movements and posture. It sounds creepy, but it may have some practical applications:
