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wifi-densepose/examples/research-sota
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rUv 4e6ef76294
research(R6.2.5): multi-subject occupancy union — N=5 hits 100% for 4 occupants; R6 family complete (#730) 
Extends R6.2.3 chest-centric placement to union of chest envelopes
across multiple occupants. Practical question: does coverage degrade
gracefully as occupant count grows?

Result: 2D chest-centric + N=5 + multi-subject union = 100% coverage
for households of 1-4 occupants. N=4 knee returns.

| Scenario   | # zones | Cov @ N=5 |
|------------|--------:|----------:|
| 1 occupant |       1 |     100%  |
| 2 occupants|       2 |     100%  |
| 3 occupants|       3 |     100%  |
| 4 occupants|       4 |     100%  |

4-occupant saturation: N=4 = 99.0% (+26.1 pp marginal), N=5 = 100%,
N=6+ saturated. Knee at N=4 even for 4 occupants.

Cross-eval: single-subject placement gets 70.6% on 4 zones; multi-
subject-optimised gets 100%. +29.4 pp gain from multi-subject
optimisation. CLI MUST accept multiple --target args and compute union.

Why N=4 knee returns: each chest zone is 40x40 cm, fits inside one
Fresnel ellipsoid (~40 cm wide at midpoint of 5 m link). N=4 anchors
give 6 pairwise links, enough to cover 4 disjoint chest zones without
much waste. Chest-centric multi-subject is the SWEET SPOT for Fresnel
envelope geometry.

R6 family complete (9 ticks: R6, R6.1, R6.2, R6.2.1, R6.2.2, R6.2.2.1,
R6.2.3, R6.2.4, R6.2.5). Family's ship recipe:
- 2D chest-centric + multi-subject + N=5 = 100% coverage

Productisation CLI spec (50 LOC over original R6.2):
  wifi-densepose plan-antennas
      --room W H [Z]                  # 2D or 3D
      --target NAME X Y W H [DX DY DZ] # repeatable
      --target-mode {body, chest}     # R6.2.3
      --freq-ghz F
      --n-anchors N                   # auto-saturation if omitted
      --restarts K

Honest scope: 2D only (3D multi-subject = mechanical extension), static
positions, single 5x5 m geometry, greedy with 4 restarts, 4 occupants
max tested.

Composes:
- R6.2 / R6.2.3 direct extension (single -> multi)
- R6.2.2 / R6.2.4 same saturation behaviour
- R14 V1/V2/V3 in households of 2-4 use this recipe
- R3 / ADR-024 per-subject identity + multi-subject placement
- ADR-105/106/107 federation orthogonal
- R12 PABS multi-subject coverage = multi-subject intrusion detection

Coordination: ticks/tick-27.md, no PROGRESS.md edit.
 		2026-05-22 05:37:29 -04:00
..
r1_toa_crlb.py research(R1): ToA CRLB — precision floor for WiFi multistatic localisation (#711) 2026-05-22 01:38:35 -04:00
r1_toa_crlb_results.json research(R1): ToA CRLB — precision floor for WiFi multistatic localisation (#711) 2026-05-22 01:38:35 -04:00
r3_1_physics_env_results.json research(R3.1): physics-informed env prediction at raw-CSI level — NEGATIVE (architecture-error) (#723) 2026-05-22 04:04:38 -04:00
r3_1_physics_informed_env.py research(R3.1): physics-informed env prediction at raw-CSI level — NEGATIVE (architecture-error) (#723) 2026-05-22 04:04:38 -04:00
r3_2_embedding_physics_env.py research(R3.2): embedding-level physics-informed env — structural validation + AETHER dependency (#729) 2026-05-22 05:24:53 -04:00
r3_2_embedding_results.json research(R3.2): embedding-level physics-informed env — structural validation + AETHER dependency (#729) 2026-05-22 05:24:53 -04:00
r3_crossroom_reid.py research(R3): cross-room re-ID — MERIDIAN closes the env-shift gap + 4 privacy constraints (#715) 2026-05-22 02:13:10 -04:00
r3_reid_results.json research(R3): cross-room re-ID — MERIDIAN closes the env-shift gap + 4 privacy constraints (#715) 2026-05-22 02:13:10 -04:00
r5_subcarrier_saliency.py research(sota): kick off SOTA research loop + first R5 saliency measurement (#702) 2026-05-21 23:05:55 -04:00
r6_1_multiscatterer.py research(R6.1): multi-scatterer Fresnel — discovers 4.7 dB penalty matching R13's 5-dB shortfall (#721) 2026-05-22 03:36:42 -04:00
r6_1_multiscatterer_results.json research(R6.1): multi-scatterer Fresnel — discovers 4.7 dB penalty matching R13's 5-dB shortfall (#721) 2026-05-22 03:36:42 -04:00
r6_2_1_3d_placement.py research(R6.2.1): 3D antenna placement — ceiling-only gives 0% coverage; mixed-height wins (#724) 2026-05-22 04:17:47 -04:00
r6_2_1_3d_results.json research(R6.2.1): 3D antenna placement — ceiling-only gives 0% coverage; mixed-height wins (#724) 2026-05-22 04:17:47 -04:00
r6_2_2_1_3d_multistatic.py research(R6.2.2.1): 3D N-anchor multistatic — 2D knee disappears; revises R6.2.2 down (#727) 2026-05-22 04:58:10 -04:00
r6_2_2_1_3d_multistatic_results.json research(R6.2.2.1): 3D N-anchor multistatic — 2D knee disappears; revises R6.2.2 down (#727) 2026-05-22 04:58:10 -04:00
r6_2_2_multistatic_placement.py research(R6.2.2): N-anchor multistatic placement saturation — practical knee at N=5 (#720) 2026-05-22 03:17:14 -04:00
r6_2_2_multistatic_results.json research(R6.2.2): N-anchor multistatic placement saturation — practical knee at N=5 (#720) 2026-05-22 03:17:14 -04:00
r6_2_3_chest_centric.py research(R6.2.3): chest-centric placement — +26.9 pp coverage gain for vital-signs cogs (#726) 2026-05-22 04:43:34 -04:00
r6_2_3_chest_centric_results.json research(R6.2.3): chest-centric placement — +26.9 pp coverage gain for vital-signs cogs (#726) 2026-05-22 04:43:34 -04:00
r6_2_4_3d_chest_multistatic.py research(R6.2.4): 3D chest-centric N-anchor — validates R6.2.2.1 prediction with refinement (#728) 2026-05-22 05:12:48 -04:00
r6_2_4_3d_chest_results.json research(R6.2.4): 3D chest-centric N-anchor — validates R6.2.2.1 prediction with refinement (#728) 2026-05-22 05:12:48 -04:00
r6_2_5_multi_subject.py research(R6.2.5): multi-subject occupancy union — N=5 hits 100% for 4 occupants; R6 family complete (#730) 2026-05-22 05:37:29 -04:00
r6_2_5_multi_subject_results.json research(R6.2.5): multi-subject occupancy union — N=5 hits 100% for 4 occupants; R6 family complete (#730) 2026-05-22 05:37:29 -04:00
r6_2_antenna_placement.py research(R6.2): Fresnel-aware antenna placement — 93x sensing-coverage lift from physics alone (#719) 2026-05-22 03:04:17 -04:00
r6_2_placement_results.json research(R6.2): Fresnel-aware antenna placement — 93x sensing-coverage lift from physics alone (#719) 2026-05-22 03:04:17 -04:00
r6_fresnel_results.json research(R6): Fresnel-zone forward model — bedrock physics for CSI sensitivity (#710) 2026-05-22 01:31:09 -04:00
r6_fresnel_zone.py research(R6): Fresnel-zone forward model — bedrock physics for CSI sensitivity (#710) 2026-05-22 01:31:09 -04:00
r7_multilink_consistency.py research(R7): Stoer-Wagner mincut detects adversarial CSI nodes 3/3 in synthetic (#704) 2026-05-21 23:28:46 -04:00
r7_multilink_consistency_results.json research(R7): Stoer-Wagner mincut detects adversarial CSI nodes 3/3 in synthetic (#704) 2026-05-21 23:28:46 -04:00
r8_rssi_only_count.py research(R8): RSSI-only person count retains 95% of full-CSI accuracy (#703) 2026-05-21 23:18:09 -04:00
r8_rssi_only_results.json research(R8): RSSI-only person count retains 95% of full-CSI accuracy (#703) 2026-05-21 23:18:09 -04:00
r9_rssi_fingerprint_knn.py feat(tools/ruview-mcp): M2 — wire real inference via cog health (#706) 2026-05-21 23:43:32 -04:00
r9_rssi_fingerprint_results.json feat(tools/ruview-mcp): M2 — wire real inference via cog health (#706) 2026-05-21 23:43:32 -04:00
r10_foliage_attenuation.py research(R10): through-foliage wildlife sensing — physics feasibility + per-species gait taxonomy 2026-05-22 00:59:11 -04:00
r10_foliage_results.json research(R10): through-foliage wildlife sensing — physics feasibility + per-species gait taxonomy 2026-05-22 00:59:11 -04:00
r11_maritime_propagation.py research(R11): maritime sensing — through-bulkhead impossible, through-seam works (#712) 2026-05-22 01:53:51 -04:00
r11_maritime_results.json research(R11): maritime sensing — through-bulkhead impossible, through-seam works (#712) 2026-05-22 01:53:51 -04:00
r12_pabs_implementation.py research(R12 PABS): NEGATIVE -> POSITIVE — 1161x detection lift via R6.1 forward model (#722) 2026-05-22 03:49:41 -04:00
r12_pabs_results.json research(R12 PABS): NEGATIVE -> POSITIVE — 1161x detection lift via R6.1 forward model (#722) 2026-05-22 03:49:41 -04:00
r12_rf_weather_eigenshift.py research(R12): RF weather mapping eigenshift — negative-ish, with clearly-actionable revision path (#707) 2026-05-21 23:52:49 -04:00
r12_rf_weather_results.json research(R12): RF weather mapping eigenshift — negative-ish, with clearly-actionable revision path (#707) 2026-05-21 23:52:49 -04:00
r13_bp_physics_floor.py research(R13): NEGATIVE — contactless BP from CSI is physically inferior to a cuff (#713) 2026-05-22 02:00:35 -04:00
r13_bp_results.json research(R13): NEGATIVE — contactless BP from CSI is physically inferior to a cuff (#713) 2026-05-22 02:00:35 -04:00