wifi-densepose/docs/research
rUv 50029d6eb2
research(R15): RF biometric primitives — 5 environment-invariant features with quantified discriminability (#717)
Catalogues 5 biometric primitives in CSI that survive cross-environment
transfer by physical construction (not just statistical learning), with
quantified discriminability:

| Primitive                          | Bits | Invariance |
|------------------------------------|-----:|------------|
| Gait stride frequency              |   5  | HIGH       |
| Breathing rate + envelope          |   5  | HIGH       |
| HRV (rate-level only)              |   4  | HIGH at rate, LOW at contour |
| Body-size RCS frequency response   |   4  | MEDIUM (needs calibration target) |
| Walking dynamics (limb timing)     |   7  | HIGH (if pose works cross-room) |

Composite biometric strength: ~12-15 bits realistic vs 25-bit independence
upper bound. Enough for household + building-scale ID; insufficient for
forensic / city-scale.

R15 strengthens the R14/R3/ADR-105 privacy framework: RF biometric is
PHYSICAL not learned, so the same primitive that enables empathic
appliances is a surveillance primitive that's harder to opt out of than
visual ID. There is no behavioural countermeasure short of jamming
(illegal) or physical alteration (impossible).

Surfaces required amendment to ADR-105 federation protocol:
'The federation aggregator MUST NOT receive any raw per-subject biometric
primitive. It MAY receive aggregated, MERIDIAN-normalised model deltas.
Per-subject primitives stay on-device.'

This becomes the requirements basis for ADR-106 (deferred DP-SGD ADR).

R15 closes the last unaddressed PROGRESS.md research thread. After R15:
- Closed: 'what RF biometrics exist and how do they invariantise' = answered
- Open: ADR-106, R6.1 multi-scatterer, R3 physics-informed env prediction,
  R6.2 Fresnel-aware antenna placement

The per-occupant feature surface (R14 V1/V2/V3) is now fully grounded in
physics + constraints; remaining work is implementation, not research.

Composes with every prior thread:
- R5 saliency: primitive-specific maps
- R6 Fresnel: physical basis for RCS invariance
- R7 mincut: defends primitive-level poisoning
- R10 per-species gait: transfers to per-individual gait biometric
- R13 NEGATIVE: 5-dB-short wall rules out contour-level HRV
- R3: embedding space combines 5 primitives
- R14: all 3 verticals (V1/V2/V3) work with rate-level subset

Honest scope:
- Bit counts are upper bounds; 30-50% loss to noise/multipath
- Contour-level HRV not achievable (R13 wall)
- Walking dynamics 7-bit assumes pose-from-CSI works cross-room (unmeasured)
- Body-size RCS needs calibration target in new room

Coordination: ticks/tick-14.md, no PROGRESS.md edit.
2026-05-22 02:38:10 -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(R15): RF biometric primitives — 5 environment-invariant features with quantified discriminability (#717) 2026-05-22 02:38:10 -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