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