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 )
|TREND||DATASET||BEST METHOD||PAPER TITLE||PAPER||CODE||COMPARE|
Skeleton-based human action recognition has recently drawn increasing attentions with the availability of large-scale skeleton datasets.
#2 best model for RF-based Pose Estimation on RF-MMD