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ruvnet / RuView UNCLAIMED

π RuView: WiFi DensePose turns commodity WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection — all without a single pixel of video.

0 0 97 Rust

docs: complete MM-Fi WiFi-sensing study (pose + action, the honest picture)

Consolidates the full campaign into one committed, citable artifact (the
detailed log was in a gitignored staging report): pose SOTA 83.6% + 20KB
int4 edge model; action recognition 88% (a WiFi task MM-Fi never
benchmarked); the generalization story (zero-shot collapse, few-shot
calibration rescue, task-general across pose+action); all honest negatives
(CORAL/DANN/instance-norm/SupCon/distillation/subject-scaling); the 11KB
calibration-adapter deployment recipe; honest limitations (cross-dataset
untested, ARM latency pending).

Co-Authored-By: claude-flow <ruv@ruv.net>
R
ruv committed
695b5fb70072e3693a509b499b25038100cf8b67
Parent: dac40e5