RF-based Pose Estimation
3 papers with code • 2 benchmarks • 0 datasets
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 )
Latest papers with no code
MDPose: Human Skeletal Motion Reconstruction Using WiFi Micro-Doppler Signatures
It provides an effective solution to track human activities by reconstructing a skeleton model with 17 key points, which can assist with the interpretation of conventional RF sensing outputs in a more understandable way.
Making the Invisible Visible: Action Recognition Through Walls and Occlusions
Understanding people's actions and interactions typically depends on seeing them.
Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor
With the fast-growing demand of location-based services in various indoor environments, robust indoor ego-motion estimation has attracted significant interest in the last decades.
Real Time 3D Indoor Human Image Capturing Based on FMCW Radar
Compared to traditional camera-based computer vision and imaging, radio imaging based on wireless sensing does not require lighting and is friendly to privacy.
A Survey on CSI-Based Human Behavior Recognition in Through-the-Wall Scenario
This paper presents a survey on the state-of-art progresses in device-free through-the-wall human behavior recognition based on CSI.
Through-Wall Object Recognition and Pose Estimation
Yet unlike optical images, RF images are difficult to understand by a human.
Segmented convolutional gated recurrent neural networks for human activity recognition in ultra-wideband radar
In this work, we propose a neural network architecture, namely segmented convolutional gated recurrent neural network (SCGRNN), to recognize human activities based on micro-Doppler spectrograms measured by the ultra-wideband radar.
Enabling Noninvasive Physical Assault Monitoring in Smart School with Commercial Wi-Fi Devices
Monitoring physical assault is critical for the prevention of juvenile delinquency and promotion of school harmony.
Light-Field for RF
In the context of imaging, RF spectrum holds many advantages compared to visible light systems.
AI-Enhanced 3D RF Representation Using Low-Cost mmWave Radar
This paper introduces a system that takes radio frequency (RF) signals from an off-the-shelf, low-cost, 77 GHz mm Wave radar and produces an enhanced 3D RF representation of a scene.
