3 papers with code • 1 benchmarks • 0 datasets
Detect human actions through walls and occlusions, and in poor lighting conditions. Taking radio frequency (RF) signals as input (e.g. Wifi), generating 3D human skeletons as an intermediate representation, and recognizing actions and interactions.
See e.g. RF-Pose from MIT for a good illustration of the approach http://rfpose.csail.mit.edu/
( Image credit: Making the Invisible Visible )