wifi-densepose/examples/research-sota
rUv 2e89fe61ef
research(R6.2.4): 3D chest-centric N-anchor — validates R6.2.2.1 prediction with refinement (#728)
Composes R6.2.2.1 (3D N-anchor) with R6.2.3 (chest-centric zones).
Tests R6.2.2.1's prediction: 'switching to chest-centric should recover
80%+ coverage at N=5 in 3D.'

Result: 3D chest-centric N=5 = 76.8% (close to but below 80%);
        3D chest-centric N=6 = 81.6% (knee shifts one anchor higher).

4-way comparison at N=5:
- R6.2.2 (2D body):    96.8%
- R6.2.3 (2D chest):   82.4%
- R6.2.2.1 (3D body):  49.4%
- R6.2.4 (3D chest):   76.8%

3D chest recovers 27 pp of the 47 pp gap R6.2.2.1 surfaced. Most of
the architectural fix works.

COUNTER-FINDING: no ceiling anchors selected for chest-centric zones.
Greedy picks 100% low (0.8 m) + mid (1.5 m). R6.2.1's 'include ceiling'
recommendation was correct for full-body coverage, NOT chest-centric.

Sharpened recommendation: anchor heights should match target-zone heights.
- Bed-only (z=0.3-0.6):       Low only
- Chair sitting (z=0.5-1.0):  Low + mid
- Standing chest (z=1.2-1.5): Mid only
- Mixed chest (z=0.3-1.5):    Low + mid (NO ceiling)
- Full body (z=0.3-1.7):      Low + mid + high

FINAL ADR-029 anchor-count table (4-axis dimension x zone-mode):
- 2D body-centric:    N=5  -> 97%
- 2D chest-centric:   N=5  -> 82%
- 3D body-centric:    N=7-8 -> 65%+
- 3D chest-centric:   N=6  -> 82%   <- recommended for vital-signs cogs

For vital-signs cogs in real 3D deployments: N=6 + chest-centric +
low/mid anchor heights. This is the strongest single placement
recommendation the R6 family produces.

R6 family substantively complete after this tick (8 ticks total):
R6, R6.1, R6.2, R6.2.1, R6.2.2, R6.2.2.1, R6.2.3, R6.2.4.

Second self-corrective tick of the loop: R6.2.2.1 predicted 80%; actual
is 76.8%. Self-correction documented (prediction was 3.2 pp optimistic,
knee shifts to N=6). Integrity pattern continues.

Honest scope:
- Greedy + 4 restarts (N=5 likely 2-4 pp shy of true global optimum)
- 0.1 m grid, single 5x5x2.5 geometry
- Three chest zones; multi-subject = future
- R6.2.1's ceiling rec was for full-body, not invalidated -- refined

Composes:
- R6.2.1 / R6.2.2 / R6.2.2.1 (same physics, different zones)
- R6.2.3 motivated this tick
- R7 / ADR-029 / ADR-105 (N=6 still byzantine-safe)
- R14 V1/V2/V3 (chest + N=6 = deployment recipe)

Coordination: ticks/tick-25.md, no PROGRESS.md edit.
2026-05-22 05:12:48 -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_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_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