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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
Segmented convolutional gated recurrent neural networks for human activity recognition in ultra-wideband radar0
Through-Wall Human Pose Estimation Using Radio Signals0
AI-Enhanced 3D RF Representation Using Low-Cost mmWave Radar0
Through-Wall Object Recognition and Pose Estimation0
A Survey on CSI-Based Human Behavior Recognition in Through-the-Wall Scenario0
Enabling Noninvasive Physical Assault Monitoring in Smart School with Commercial Wi-Fi Devices0
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