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rUv
8b850d8b2a
Direct follow-up from R6.1 (chest contributes 27.6% of CSI energy, 5x per-limb value, limbs are confound not signal). R6.2.3 re-runs R6.2's placement search with chest-only target zones (40x40 cm patches at expected chest positions) vs body-footprint zones (R6.2's default full-area definition). Headline result: | Configuration | Coverage | Placement | |----------------------------|---------:|----------------------------| | Body-centric (R6.2 default)| 49.3% | (4.25,0)-(0,3.25), 5.35 m | | CHEST-CENTRIC (R6.2.3 new) | 82.4% | (2.0,0)-(4.5,5), 5.59 m | Cross-eval: - Body-optimal on chest zones: 55.5% - Chest-targeting GAIN on chest: +26.9 pp - Chest-optimal on body zones: 40.3% (-9.0 pp loss) The two strategies are genuinely different. Same engine, different zones. Per-cog deployment recommendation surfaced: - --target-mode=body (default): cog-person-count, cog-pose, cog-presence - --target-mode=chest (new): cog-vital-signs, cog-breathing, cog-HR - --target-mode=extremity (future): gesture detection ~20 LOC change to R6.2 CLI. R14 vertical-specific: - V1 stress-responsive lighting: chest mode - V2 adaptive HVAC (presence+breathing): mixed - V3 attention-respecting conversation: chest mode R6.2.3 surfaces a per-cog config that empathic-appliance products need at install time. Why placements differ: when target ~ envelope width, envelope can cover it entirely; when target >> envelope, placement must compromise. 40 cm Fresnel envelope @ 5 m link comfortably covers 40 cm chest patches but must spread to cover 3 m^2 bed. Composes: - R6.1 motivated this tick - R6.2 / R6.2.1 / R6.2.2 -- orthogonal extensions - R14 V1/V3 should use chest mode - R12 PABS improves body-position-detection scenarios Honest scope: - Chest positions approximated - 2D still (3D chest-centric = R6.2.3.1 follow-up) - Single subject (multi-subject = union of chest envelopes) - Per-cog zone schema is deployment-time Coordination: ticks/tick-23.md, no PROGRESS.md edit.
118 lines
2.2 KiB
JSON
118 lines
2.2 KiB
JSON
{
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"room": {
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"width_m": 5.0,
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"height_m": 5.0
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},
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"freq_ghz": 2.4,
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"body_zones": [
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{
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"name": "bed",
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"x": 1.5,
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"y": 0.5,
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"w": 2.0,
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"h": 1.5
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},
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{
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"name": "chair",
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"x": 3.5,
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"y": 3.5,
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"w": 0.8,
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"h": 0.8
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},
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{
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"name": "desk",
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"x": 0.2,
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"y": 2.5,
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"w": 1.0,
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"h": 0.6
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}
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],
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"chest_zones": [
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{
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"name": "bed_chest",
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"x": 2.2,
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"y": 0.8,
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"w": 0.6,
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"h": 0.4
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},
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{
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"name": "chair_chest",
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"x": 3.7,
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"y": 3.7,
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"w": 0.4,
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"h": 0.4
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},
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{
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"name": "desk_chest",
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"x": 0.5,
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"y": 2.7,
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"w": 0.4,
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"h": 0.2
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}
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],
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"best_body_centric": {
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"score": 0.493006993006993,
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"tx": [
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4.25,
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0.0
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],
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"rx": [
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0.0,
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3.25
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],
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"link_m": 5.350233639758174,
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"per_zone": {
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"bed": {
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"area_m2": 3.0000000000000004,
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"covered_m2": 1.6175000000000004,
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"coverage_fraction": 0.5391666666666667
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},
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"chair": {
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"area_m2": 0.6400000000000001,
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"covered_m2": 0.0,
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"coverage_fraction": 0.0
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},
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"desk": {
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"area_m2": 0.6500000000000001,
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"covered_m2": 0.4975000000000001,
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"coverage_fraction": 0.7653846153846153
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}
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}
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},
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"best_chest_centric": {
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"score": 0.8235294117647058,
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"tx": [
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2.0,
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0.0
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],
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"rx": [
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4.5,
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5.0
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],
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"link_m": 5.5901699437494745,
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"per_zone": {
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"bed_chest": {
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"area_m2": 0.29250000000000004,
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"covered_m2": 0.28750000000000003,
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"coverage_fraction": 0.9829059829059829
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},
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"chair_chest": {
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"area_m2": 0.20250000000000004,
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"covered_m2": 0.20250000000000004,
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"coverage_fraction": 1.0
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},
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"desk_chest": {
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"area_m2": 0.10000000000000002,
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"covered_m2": 0.0,
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"coverage_fraction": 0.0
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}
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}
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},
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"cross_eval": {
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"body_pl_on_chest": 0.5546218487394958,
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"chest_pl_on_body": 0.40326340326340326,
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"chest_gain_pp": 26.890756302521,
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"body_loss_pp": 8.974358974358976
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},
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"verdict": "CHEST-CENTRIC WINS: significant placement-strategy change. R6.2.3 should be a CLI option."
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} |