wifi-densepose/docs/research
rUv db64b4c671
research(R3): cross-room re-ID — MERIDIAN closes the env-shift gap + 4 privacy constraints (#715)
Synthesis of AETHER (ADR-024) + MERIDIAN (ADR-027) + privacy framing
+ identified next research lever (physics-informed env prediction).

Simulation results (10 subjects, 3 rooms, 128-dim embeddings, env/person
scale ratio 4.7x):

| Configuration                            | 1-shot acc |
|------------------------------------------|-----------:|
| Within-room (matches AETHER ~95% target) |      100%  |
| Cross-room, raw cosine K-NN              |       70%  |
| Cross-room, MERIDIAN 100% env removal    |      100%  |
| Cross-room, MERIDIAN 70% env removal     |      100%  |
| Chance                                   |       10%  |

The 30 pp gap from within-room to raw cross-room is the angular
contribution of env-shift that cosine similarity can't normalise away.
MERIDIAN per-room centroid subtraction recovers it -- robust even at
70% effectiveness (realistic for limited labelled examples).

Privacy framing: R14 baseline + 4 new constraints specific to
biometric-class re-ID data:
1. No cross-installation linkage
2. Embedding storage requires explicit opt-in (biometric consent class)
3. Cryptographically verifiable forgetting
4. No re-ID across legal entities

These rule out cross-building tracking, mass surveillance, long-term
unlabelled storage, third-party sharing. They allow per-installation
personalisation, household anomaly detection, multi-person pose
association in the same room.

R3 closes the loop on R14's empathic-appliance vision: re-ID is THE
primitive that makes per-occupant features possible. Without R3,
R14's verticals can't ship.

Identifies next research lever: physics-informed env_sig prediction
from R6's forward operator + room map = zero-shot cross-room transfer
without labelled examples in the new room.

Composes:
- R5/R6: person+env decomposition in embedding space
- R7: mincut = defence against re-ID spoofing
- R9: RSSI K-NN showed env-locality dominance for the K-NN primitive
- R14: 4 new constraints extend R14's framework to biometric class

Honest scope: additive decomposition is first-order; real CSI env
effects are multiplicative in subcarrier domain. Adversarial scenarios
not simulated.

Coordination: ticks/tick-12.md, no PROGRESS.md edit.
2026-05-22 02:13:10 -04:00
..
architecture docs(research): three-tier Rust node design + 2026-Q2 SOTA survey + decision tree 2026-04-25 20:41:14 -04:00
arena-physica feat: ADR-069 ESP32 CSI → Cognitum Seed RVF pipeline (v0.5.4-esp32) 2026-04-02 19:32:18 -04:00
neural-decoding feat: ADR-069 ESP32 CSI → Cognitum Seed RVF pipeline (v0.5.4-esp32) 2026-04-02 19:32:18 -04:00
quantum-sensing feat(nvsim): full simulator stack — Rust crate, dashboard, server, App Store, Ghost Murmur [ADR-089/090/091/092/093] 2026-04-27 12:41:01 -04:00
rf-topological-sensing chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
sota docs(research): three-tier Rust node design + 2026-Q2 SOTA survey + decision tree 2026-04-25 20:41:14 -04:00
sota-2026-05-22 research(R3): cross-room re-ID — MERIDIAN closes the env-shift gap + 4 privacy constraints (#715) 2026-05-22 02:13:10 -04:00
sota-surveys feat: ADR-069 ESP32 CSI → Cognitum Seed RVF pipeline (v0.5.4-esp32) 2026-04-02 19:32:18 -04:00