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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
Real Time 3D Indoor Human Image Capturing Based on FMCW Radar0
RF-based 3D skeletons0
RF-Based Fall Monitoring Using Convolutional Neural Networks0
Segmented convolutional gated recurrent neural networks for human activity recognition in ultra-wideband radar0
Can WiFi Estimate Person Pose?Code0
Person-in-WiFi: Fine-grained Person Perception using WiFiCode0
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