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RF-based Pose Estimation

3 papers with code · 2 benchmarks · 0 datasets archive 2025-07-28

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 )

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Dataset	Best model (first row in archive order)	Paper	Code	Syntology	Compare
RF-MMD (2 rows)	HCN	Co-occurrence Feature Learning from Skeleton Data for Action...	code	Syntology ran 4 of 5 samples · 1 unverified	Compare
RF-MMD (1 row)	RF-Action	Making the Invisible Visible: Action Recognition Through Walls and...	—	—	Compare

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Pose Estimation

Most implemented papers archive 2025-07-28

3 shown of 3 papers with code (16 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

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

17 Apr 2018 6 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 3 pointer-only (licence)

Skeleton-based human action recognition has recently drawn increasing attentions with the availability of large-scale skeleton datasets.
Person-in-WiFi: Fine-grained Person Perception using WiFi

30 Mar 2019 1 repository listed

Fine-grained person perception such as body segmentation and pose estimation has been achieved with many 2D and 3D sensors such as RGB/depth cameras, radars (e.
Can WiFi Estimate Person Pose?

30 Mar 2019 1 repository listed

In this paper We try to answer this question by exploring the ability of WiFi on estimating single person pose.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.

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