Computer Science & Artificial Intelligence Laboratory
Massachusetts Institute of Technology
DeepBreath is the first RF-based respiration monitoring system that can recover the breathing signals of multiple individuals even when they are separated by zero distance. We model interference due to multiple reflected RF signals and demonstrate that the original breathing can be recovered via independent component analysis (ICA). We design a full system that eliminates interference and recovers the original breathing signals. It also provides continuous monitoring throughout the night for people who share the same bed. DeepBreath is very accurate. Specifically, the differences between the breathing signals it recovers and the ground truth are on par with the difference between the same breathing signal measured at the person’s chest and belly.