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PR #744 moved the files into 9 thematic folders via git mv but missed the READMEs due to a working-directory issue with git add. This PR adds the actual READMEs: - examples/research-sota/README.md (main overview) - examples/research-sota/01-physics-floor/README.md - examples/research-sota/02-placement/README.md - examples/research-sota/03-spatial-intelligence/README.md - examples/research-sota/04-rssi/README.md - examples/research-sota/05-cross-room-reid/README.md - examples/research-sota/06-structure-detection/README.md - examples/research-sota/07-negative-results/README.md - examples/research-sota/08-verticals/README.md - examples/research-sota/09-quantum-fusion/README.md Each sub-README documents: - Scripts + headlines table - Why this folder bounds/composes with others - Sample output / honest scope - Cross-references to related loop notes + ADRs Main README covers: - Folder map with thread numbers - Cross-folder dependency graph - 8-entry headline findings table - Reading order for newcomers (4 scripts in suggested order) - Honest scope (synthetic-physics caveats)
36 lines
1.5 KiB
Markdown
36 lines
1.5 KiB
Markdown
# 04 — RSSI-only sensing
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RSSI is the simplest CSI summary (one number per packet). These scripts quantify what's recoverable from RSSI alone vs full CSI.
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## Scripts
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| Script | Thread | Headline |
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| `r8_rssi_only_count.py` | R8 | RSSI-only person count: **59.1% accuracy = 94.82% of full-CSI v0.0.2** with a tiny 656-parameter MLP. RSSI keeps 95% of counting capacity. |
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| `r9_rssi_fingerprint_knn.py` | R9 | Cosine-NN on RSSI fingerprints: **2.18× lift** over chance (MODERATE). Surfaces counting-vs-localization asymmetry: RSSI is great for count, weaker for per-location ID. |
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## The counting-vs-localization asymmetry
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R8 + R9 together demonstrate that RSSI:
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- **Retains 95% of person-count capacity** (R8)
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- **Retains only ~30% of localization capacity** (R9)
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This means RSSI-only deployments (the cheap path) are viable for **occupancy / count** but inadequate for **per-occupant features** (vitals, identity, pose).
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## When to use RSSI-only
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Per ADR-113 placement matrix, RSSI-only is appropriate for:
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- `cog-presence` (binary occupancy)
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- `cog-person-count` (occupant count)
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- Very cost-sensitive deployments (chicken-scale R19 livestock, for instance)
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NOT appropriate for:
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- `cog-vital-signs` (needs CSI per-subcarrier shape)
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- `cog-pose-estimation` (needs CSI multistatic geometry)
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- `cog-quantum-vitals` (ADR-114, needs CSI fusion with NV)
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## See also
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- Research notes: `docs/research/sota-2026-05-22/R8-*.md`, `R9-*.md`
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- Composes with: `01-physics-floor/` (uses Fresnel forward model insight)
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