.claude-flow/.trend-cache.json

@@ -1 +0,0 @@
-{"intelligence":7,"timestamp":1774922079152}

CHANGELOG.md

@@ -5,65 +5,6 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [v0.5.3-esp32] — 2026-03-30
-
-### Added
-- **Cross-node RSSI-weighted feature fusion** — Multiple ESP32 nodes fuse CSI features using RSSI-based weighting. Closer node gets higher weight. Reduces variance noise by 29%, keypoint jitter by 72%.
-- **DynamicMinCut person separation** — Uses `ruvector_mincut::DynamicMinCut` on the subcarrier temporal correlation graph to detect independent motion clusters. Replaces variance-based heuristic for multi-person counting.
-- **RSSI-based position tracking** — Skeleton position driven by RSSI differential between nodes. Walk between ESP32s and the skeleton follows you.
-- **Per-node state pipeline (ADR-068)** — Each ESP32 node gets independent `HashMap<u8, NodeState>` with frame history, classification, vitals, and person count. Fixes #249 (the #1 user-reported issue).
-- **RuVector Phase 1-3 integration** — Subcarrier importance weighting, temporal keypoint smoothing (EMA), coherence gating, skeleton kinematic constraints (Jakobsen relaxation), compressed pose history.
-- **Client-side lerp smoothing** — UI keypoints interpolate between frames (alpha=0.15) for fluid skeleton movement.
-- **Multi-node mesh tests** — 8 integration tests covering 1-255 node configurations.
-- **`wifi_densepose` Python package** — `from wifi_densepose import WiFiDensePose` now works (#314).
-
-### Fixed
-- **Watchdog crash on busy LANs (#321)** — Batch-limited edge_dsp to 4 frames before 20ms yield. Fixed idle-path busy-spin (`pdMS_TO_TICKS(5)==0`).
-- **No detection from edge vitals (#323)** — Server now generates `sensing_update` from Tier 2+ vitals packets.
-- **RSSI byte offset mismatch (#332)** — Server parsed RSSI from wrong byte (was reading sequence counter).
-- **Stack overflow risk** — Moved 4KB of BPM scratch buffers from stack to static storage.
-- **Stale node memory leak** — `node_states` HashMap evicts nodes inactive >60s.
-- **Unsafe raw pointer removed** — Replaced with safe `.clone()` for adaptive model borrow.
-- **Firmware CI** — Upgraded to IDF v5.4, replaced `xxd` with `od` (#327).
-- **Person count double-counting** — Multi-node aggregation changed from `sum` to `max`.
-- **Skeleton jitter** — Removed tick-based noise, dampened procedural animation, recalibrated feature scaling for real ESP32 data.
-
-### Changed
-- Motion-responsive skeleton: arm swing (0-80px) driven by CSI variance, leg kick (0-50px) by motion_band_power, vertical bob when walking.
-- Person count thresholds recalibrated for real ESP32 hardware (1→2 at 0.70, EMA alpha 0.04).
-- Vital sign filtering: larger median window (31), faster EMA (0.05), looser HR jump filter (15 BPM).
-- Vendored ruvector updated to v2.1.0-40 (316 commits ahead).
-
-### Benchmarks (2-node mesh, COM6 + COM9, 30s)
-| Metric | Baseline | v0.5.3 | Improvement |
-|--------|----------|--------|-------------|
-| Variance noise | 109.4 | 77.6 | **-29%** |
-| Feature stability | std=154.1 | std=105.4 | **-32%** |
-| Keypoint jitter | std=4.5px | std=1.3px | **-72%** |
-| Confidence | 0.643 | 0.686 | **+7%** |
-| Presence accuracy | 93.4% | 94.6% | **+1.3pp** |
-
-### Verified
-- Real hardware: COM6 (node 1) + COM9 (node 2) on ruv.net WiFi
-- All 284 Rust tests pass, 352 signal crate tests pass
-- Firmware builds clean at 843 KB
-- QEMU CI: 11/11 jobs green
-
-## [v0.5.2-esp32] — 2026-03-28
-
-### Fixed
-- RSSI byte offset in frame parser (#332)
-- Per-node state pipeline for multi-node sensing (#249)
-- Firmware CI upgraded to IDF v5.4 (#327)
-
-## [v0.5.1-esp32] — 2026-03-27
-
-### Fixed
-- Watchdog crash on busy LANs (#321)
-- No detection from edge vitals (#323)
-- `wifi_densepose` Python package import (#314)
-- Pre-compiled firmware binaries added to release
-
 ## [v0.5.0-esp32] — 2026-03-15
 
 ### Added

firmware/esp32-csi-node/sdkconfig.defaults.8mb_backup

@@ -1,33 +0,0 @@
-# ESP32-S3 CSI Node — Default SDK Configuration
-# This file is applied automatically by idf.py when no sdkconfig exists.
-
-# Target: ESP32-S3
-CONFIG_IDF_TARGET="esp32s3"
-
-# Use custom partition table (8MB flash with OTA — ADR-045)
-CONFIG_PARTITION_TABLE_CUSTOM=y
-CONFIG_PARTITION_TABLE_CUSTOM_FILENAME="partitions_display.csv"
-
-# Flash configuration: 8MB (Quad SPI)
-CONFIG_ESPTOOLPY_FLASHSIZE_8MB=y
-CONFIG_ESPTOOLPY_FLASHSIZE="8MB"
-
-# Compiler optimization: optimize for size to reduce binary
-CONFIG_COMPILER_OPTIMIZATION_SIZE=y
-
-# Enable CSI (Channel State Information) in WiFi driver
-CONFIG_ESP_WIFI_CSI_ENABLED=y
-
-# NVS encryption disabled by default (requires eFuse provisioning).
-# Enable only after burning HMAC key to eFuse block.
-# CONFIG_NVS_ENCRYPTION is not set
-
-# Disable unused features to reduce binary size
-CONFIG_BOOTLOADER_LOG_LEVEL_WARN=y
-CONFIG_LOG_DEFAULT_LEVEL_INFO=y
-
-# LWIP: enable extended socket options for UDP multicast
-CONFIG_LWIP_SO_RCVBUF=y
-
-# FreeRTOS: increase task stack for CSI processing
-CONFIG_ESP_MAIN_TASK_STACK_SIZE=8192

rust-port/wifi-densepose-rs/.claude-flow/.trend-cache.json

@@ -1 +0,0 @@
-{"intelligence":35,"timestamp":1774903706609}

rust-port/wifi-densepose-rs/crates/wifi-densepose-sensing-server/src/main.rs

@@ -3584,9 +3584,12 @@ async fn udp_receiver_task(state: SharedState, udp_port: u16) {
                     let vitals = smooth_vitals_node(ns, &raw_vitals);
                     ns.latest_vitals = vitals.clone();
 
-                    // DynamicMinCut person estimation from subcarrier correlation.
+                    // Use correlation-based person estimation from frame history.
+                    // This examines the temporal correlation structure of CSI
+                    // subcarriers — correlated subcarriers belong to the same
+                    // person, independent clusters indicate multiple people.
                     let corr_persons = estimate_persons_from_correlation(&ns.frame_history);
-                    let raw_score = corr_persons as f64 / 3.0;
+                    let raw_score = corr_persons as f64 / 3.0; // normalize to 0..1
                     ns.smoothed_person_score = ns.smoothed_person_score * 0.92 + raw_score * 0.08;
                     if classification.presence {
                         let count = score_to_person_count(ns.smoothed_person_score, ns.prev_person_count);

rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/.claude-flow/.trend-cache.json

@@ -1 +0,0 @@
-{"intelligence":60,"timestamp":1774039923051}