ESP32-S3 CSI Firmware v0.4.3.1 — Watchdog Fix

Patch release for v0.4.3 that fixes a task watchdog crash on Core 1 (#266).

What's Fixed

Task watchdog starvation on Core 1 — The edge DSP task (biquad filters, Welford stats, BPM estimation, multi-person vitals) was CPU-intensive enough to starve the IDLE1 task, triggering the watchdog timer every 5 seconds. The firmware kept running but spammed error logs and could cause instability.

Fix: The DSP task now yields to IDLE after every processed frame (vTaskDelay(1)). At 20 Hz CSI rate this adds ~1 ms per frame — negligible for vitals extraction.

Verified on real ESP32-S3: 0 watchdog triggers in 60 seconds of live WiFi CSI (was every 5 seconds before).

Includes all v0.4.3 fixes

• Fall detection threshold 2.0 → 15.0 rad/s2 (#263)
• 3-frame debounce + 5s cooldown for fall alerts
• 4MB flash support (#265)

Flash Instructions

Same as v0.4.3 — see v0.4.3 release notes for full instructions.

8MB boards:

python -m esptool --chip esp32s3 --port COM7 --baud 460800 \
 write_flash --flash_mode dio --flash_size 8MB --flash_freq 80m \
 0x0 bootloader.bin 0x8000 partition-table.bin \
 0xf000 ota_data_initial.bin 0x20000 esp32-csi-node.bin

4MB boards:

python -m esptool --chip esp32s3 --port COM7 --baud 460800 \
 write_flash --flash_mode dio --flash_size 4MB --flash_freq 80m \
 0x0 bootloader.bin 0x8000 partition-table-4mb.bin \
 0xF000 ota_data_initial.bin 0x20000 esp32-csi-node-4mb.bin

ESP32-S3 CSI Node Firmware v0.4.3 — Fall Detection Fix + 4MB Flash Support

What's Fixed

False fall detection alerts (#263)

The previous firmware (v0.4.2 and earlier) triggered constant "Fall Detected" alerts during normal walking and movement. The threshold was set to 2.0 rad/s2, but normal activity produces 2-5 rad/s2.

This release fixes the problem by:

• Raising the default threshold from 2.0 to 15.0 rad/s2
• Requiring 3 consecutive frames above threshold before alerting
• Adding a 5-second cooldown between alerts

Verified on real hardware: 0 false alerts in 60s with 1,300+ live WiFi CSI frames. Previous firmware had 7 false alerts in 45s.

Already have v0.4.2? Fix without reflashing:

python provision.py --port COM7 --fall-thresh 15000

What's New

4MB flash support (#265)

ESP32-S3 boards with 4MB flash (e.g. SuperMini 4MB) are now officially supported. Thanks to @sebbu for proving feasibility with a community workaround!

Download Guide

Flash — 8MB boards (most ESP32-S3):

python -m esptool --chip esp32s3 --port COM7 --baud 460800 \
 write_flash --flash_mode dio --flash_size 8MB --flash_freq 80m \
 0x0 bootloader.bin 0x8000 partition-table.bin \
 0xf000 ota_data_initial.bin 0x20000 esp32-csi-node.bin

Flash — 4MB boards (e.g. SuperMini 4MB):

python -m esptool --chip esp32s3 --port COM7 --baud 460800 \
 write_flash --flash_mode dio --flash_size 4MB --flash_freq 80m \
 0x0 bootloader.bin 0x8000 partition-table-4mb.bin \
 0xF000 ota_data_initial.bin 0x20000 esp32-csi-node-4mb.bin

Provision WiFi:

python firmware/esp32-csi-node/provision.py --port COM7 \
 --ssid "YourWiFi" --password "YourPassword" --target-ip 192.168.1.20

CI: All 11 QEMU jobs green

Closes #263, Closes #265

Contributors

• @sebbu

ESP32-S3 CSI Node Firmware v0.4.2 — Channel Override + MAC Filter (ADR-060)

Boot Proof (COM7, 2026年03月13日)

I (229) app_init: Project name: esp32-csi-node
I (233) app_init: App version: v0.4.2-esp32-dirty
I (238) app_init: Compile time: Mar 13 2026 08:37:29
I (243) app_init: ELF file SHA256: 6fac16e35...
I (260) efuse_init: Chip rev: v0.2
I (291) spi_flash: detected chip: gd
I (294) spi_flash: flash io: dio
I (370) nvs_config: No NVS config found, using compiled defaults
I (370) main: ESP32-S3 CSI Node (ADR-018) — Node ID: 1
I (390) wifi:wifi firmware version: 48ea317a7
I (530) wifi:mode : sta (3c:0f:02:ec:c2:28)
I (530) main: WiFi STA initialized, connecting to SSID: wifi-densepose

Firmware Binary Hashes (SHA-256)

New Features

Channel Override (--channel)

python provision.py --port COM7 --channel 6

Explicitly set CSI channel (1-14 for 2.4GHz, 36-177 for 5GHz). When omitted, firmware auto-detects channel from connected AP using esp_wifi_sta_get_ap_info().

MAC Address Filter (--filter-mac)

python provision.py --port COM7 --filter-mac AA:BB:CC:DD:EE:FF

Only collect CSI from frames matching the specified source MAC. Reduces noise in multi-AP environments.

Combined Example

python provision.py --port COM7 --ssid "MyWiFi" --password "secret" \
 --target-ip 192.168.1.20 --channel 6 --filter-mac AA:BB:CC:DD:EE:FF

Bug Fixes

• Channel mismatch — Auto-detect AP channel after WiFi connect instead of hardcoding (#247)
• MAC filter — Drop non-matching CSI frames before processing (#229)

Capabilities Verified on Hardware

Flash Instructions

python -m esptool --chip esp32s3 --port COM7 --baud 460800 write_flash \
 0x0 bootloader.bin \
 0x8000 partition-table.bin \
 0x20000 esp32-csi-node.bin

Provisioning All Options

python provision.py --port COM7 \
 --ssid "MyWiFi" --password "secret" \
 --target-ip 192.168.1.20 --target-port 5005 \
 --node-id 1 \
 --tdm-slot 0 --tdm-total 3 \
 --edge-tier 2 \
 --channel 6 \
 --filter-mac AA:BB:CC:DD:EE:FF

Architecture

• ADR-060: Channel override and MAC filter design
• NVS keys: csi_channel (u8), filter_mac (6-byte blob)
• Auto-channel: esp_wifi_sta_get_ap_info() after WiFi connect
• MAC filter: memcmp(info->mac, ...) in CSI callback

Built with ESP-IDF v5.4 | Target: ESP32-S3 | Flash: 8MB (53% free)

ESP32-S3 CSI Firmware v0.4.1

Critical bugfix release — fixes CSI not being enabled in pre-built firmware binaries.

What was broken

The committed sdkconfig had CONFIG_ESP_WIFI_CSI_ENABLED disabled (line 1135), causing all builds to produce firmware that crashed at runtime with:

E (6700) wifi:CSI not enabled in menuconfig!

This affected all pre-built binaries from v0.1.0 through v0.4.0-alpha.

Fixes (ADR-057)

1. sdkconfig — CSI now enabled (CONFIG_ESP_WIFI_CSI_ENABLED=y)
2. sdkconfig.defaults — Created from template so fresh builds always inherit CSI
3. csi_collector.c — Added #error compile-time guard to prevent this from recurring
4. sdkconfig.defaults.template — Fixed NVS encryption default (was causing build failure)

Verified

• Built with Docker (espressif/idf:v5.2)
• Flashed to ESP32-S3 (QFN56, rev v0.2, 8MB GD flash)
• Boot log confirms CSI initialization without errors
• Binary size: 1,041 KB (49% partition free)

Flashing

python -m esptool --chip esp32s3 --port COM7 --baud 460800 \
 write_flash --flash-mode dio --flash-size 8MB --flash-freq 80m \
 0x0 bootloader.bin \
 0x8000 partition-table.bin \
 0xf000 ota_data_initial.bin \
 0x20000 esp32-csi-node.bin

Provisioning (after flash)

python firmware/esp32-csi-node/provision.py \
 --port COM7 --ssid "YOUR_WIFI" --password "YOUR_PASS" \
 --target-ip YOUR_PC_IP --target-port 5005

Hardware Support

Related Issues

• #241 — Tracking issue for this fix
• #223 — CSI not enabled in menuconfig (root cause)
• #238 — 0.4 firmware not working (original ESP32, unsupported variant)
• #234 — ESP32-C3 support request
• #210 — Flashing issues with Super Mini
• #190 — No data received from ESP32-S3

SHA256 Checksums

See SHA256SUMS.txt attached to this release.

RuView Desktop v0.4.0

WiFi-based human pose estimation desktop application.

Downloads

Installation

macOS:

1. Download the appropriate .zip file for your Mac
2. Extract the zip file
3. Move RuView Desktop.app to your Applications folder
4. Right-click and select "Open" (first time only, to bypass Gatekeeper)

Windows:

1. Download the .msi installer
2. Run the installer
3. Launch RuView Desktop from the Start menu

Requirements

• macOS 11.0+ (Big Sur or later)
• Windows 10/11 (64-bit)

RuView Desktop v0.4.1

WiFi-based human pose estimation desktop application.

Downloads

Installation

macOS:

1. Download the appropriate .zip file for your Mac
2. Extract the zip file
3. Move RuView Desktop.app to your Applications folder
4. Right-click and select "Open" (first time only, to bypass Gatekeeper)

Windows:

1. Download the .msi installer
2. Run the installer
3. Launch RuView Desktop from the Start menu

Requirements

• macOS 11.0+ (Big Sur or later)
• Windows 10/11 (64-bit)

Full Changelog: v0.4.0-desktop...desktop-v0.4.1

RuView Desktop v0.4.0

WiFi-based human pose estimation desktop application.

Downloads

Installation

macOS:

1. Download the appropriate .zip file for your Mac
2. Extract the zip file
3. Move RuView Desktop.app to your Applications folder
4. Right-click and select "Open" (first time only, to bypass Gatekeeper)

Windows:

1. Download the .msi installer
2. Run the installer
3. Launch RuView Desktop from the Start menu

Requirements

• macOS 11.0+ (Big Sur or later)
• Windows 10/11 (64-bit)

Full Changelog: desktop-v0.4.1...desktop-v0.4.0

Real WiFi CSI datasets for training RuView pose estimation models.

Datasets

Data Source

Converted from Intel CSI Tool .dat files to RuView JSON format.

Format

Each sample is a JSON file with:

• csi_features: 5600 values (100 frames ×ばつ 56 subcarriers)
• keypoints: 17 COCO pose keypoints
• activity: Activity label
• metadata: RSSI, noise, frame count

Usage

Download and extract to ~/.ruview/datasets/

RuView Desktop v0.3.0

WiFi-based human pose estimation desktop application.

Downloads

Installation

macOS:

1. Download the appropriate .zip file for your Mac
2. Extract the zip file
3. Move RuView Desktop.app to your Applications folder
4. Right-click and select "Open" (first time only, to bypass Gatekeeper)

Windows:

1. Download the .msi installer
2. Run the installer
3. Launch RuView Desktop from the Start menu

Requirements

• macOS 11.0+ (Big Sur or later)
• Windows 10/11 (64-bit)

What's Changed

• feat: complete Tauri desktop frontend with all pages and enhanced design by @ruvnet in #198
• Add temporal graph evolution & RuVector integration research by @ruvnet in #197

Full Changelog: v0.3.0-desktop-alpha...desktop-v0.3.0

Contributors

• @ruvnet

RuView Desktop v0.3.0-alpha (Windows x64)

Work in Progress — Debug build for testing. Production builds with bundled assets will follow.

Quick Start

# 1. Clone the repo and install frontend dependencies
git clone https://github.com/ruvnet/RuView.git
cd RuView/rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/ui
npm install
# 2. Start the frontend dev server
npx vite --host
# 3. Download and run the exe (below)
# The app window opens and loads from localhost:5173

Why a dev server? This is a debug build — it loads the React frontend from localhost:5173 via Vite. Production builds will bundle assets directly into the exe.

Requirements

• Windows 10 (1803+) or Windows 11
• WebView2 runtime (pre-installed on modern Windows)
• Node.js 20+ (for the Vite dev server)

What's Included

Design Highlights

• Dark professional theme (ADR-053) with glassmorphism cards
• Gradient accents on logo, nav indicator, and primary buttons
• Page transitions with fade-in + scale animations
• Status dot glows for online/error/warning states
• Staggered card fade-ins on the dashboard
• Live status bar polling node count and server state

Build from Source

See the Desktop README for full build instructions.

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