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RF-based Pose Estimation

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 )

Papers

Showing 1116 of 16 papers

TitleStatusHype
Light-Field for RF0
AI-Enhanced 3D RF Representation Using Low-Cost mmWave Radar0
RF-Based Fall Monitoring Using Convolutional Neural Networks0
RF-based 3D skeletons0
Through-Wall Human Pose Estimation Using Radio Signals0
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical AggregationCode1
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