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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 110 of 16 papers

TitleStatusHype
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical AggregationCode1
Can WiFi Estimate Person Pose?Code0
Person-in-WiFi: Fine-grained Person Perception using WiFiCode0
Light-Field for RF0
Making the Invisible Visible: Action Recognition Through Walls and Occlusions0
MDPose: Human Skeletal Motion Reconstruction Using WiFi Micro-Doppler Signatures0
Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor0
Real Time 3D Indoor Human Image Capturing Based on FMCW Radar0
RF-based 3D skeletons0
RF-Based Fall Monitoring Using Convolutional Neural Networks0
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