Papers with Code · CC BY-SA 4.0

RF-based Pose Estimation

1 Image, 2*2 Stitchi › Pose Estimation › RF-based Pose Estimation 3 평가 기록 1 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/

<span style="color:grey; opacity: 0.6">( Image credit: Making the Invisible Visible )</span>

논문

Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

1804.06055 2018-04-17 이 페이지의 평가 1건

mAP (@0.1, Through-wall): 78.5mAP (@0.1, Visible): 82,5

Making the Invisible Visible: Action Recognition Through Walls and Occlusions

1909.09300 2019-09-20 이 페이지의 평가 1건

mAP (@0.1, Visible): 90.1mAP (@0.1, Through-wall): 86.5

RF-Based Fall Monitoring Using Convolutional Neural Networks

2018-09-01 이 페이지의 평가 1건

mAP (@0.1, Through-wall): 72.9mAP (@0.1, Visible): 78.3