wifi-densepose/examples
rUv 39d18d1c99
research(R6.2.1): 3D antenna placement — ceiling-only gives 0% coverage; mixed-height wins (#724)
Extends R6.2 from 2D ellipse to 3D ellipsoid + 3D target zones (bed at
z=0.3-0.6, chair at z=0.5-1.2, standing at z=1.0-1.7 in a 5x5x2.5 m
room).

Counter-intuitive headline:

| Strategy                                  | Coverage |
|-------------------------------------------|---------:|
| Desk-height (0.8 m walls)                 |   22.2%  |
| Wall-mount (1.5 m walls)                  |   17.4%  |
| Ceiling-only (2.5 m grid)                 |    0.0%  |  <-- FAILS
| Mixed walls + ceiling                     |   25.7%  |  <-- BEST

Ceiling-only fails because both antennas at 2.5 m create a Fresnel
ellipsoid sitting AT ceiling height (2.1-2.9 m vertically). Target
zones at 0.3-1.7 m are below the envelope by 0.4-2.0 m. The 39 cm
transverse radius is symmetric around LOS, so a flat horizontal link
at any height misses targets at any OTHER height.

This is the 3D version of R6.1's on-LOS-degeneracy finding. A
horizontal link at any single height has its envelope concentrated
at that height.

Why mixed wins: best placement is Tx (5.0, 4.0, 0.8) + Rx (0.0, 4.0, 1.5).
The diagonal-in-z link tilts the ellipsoid through multiple elevations.
Covers chair AND standing AND bed simultaneously.

Vertical link diversity is the 3D insight 2D analysis missed.

Installation-guide updates:
- Single pair: one low (0.8 m) + one high (1.5 m), opposite walls
- 4-anchor: 2x low corners + 2x high opposite corners
- 5-anchor knee: mix 0.8 / 1.5 / one ceiling
- Bed-only: both LOW
- Standing-only: both HIGH
- NEVER: both ceiling without a low anchor

Coverage numbers are lower than R6.2's 2D 51% because 3D volumetric
coverage is inherently lower than 2D area coverage -- honest 3D physics.

Composes:
- R6.2 (2D) -- incomplete; height matters as much as horizontal
- R6.2.2 (N-anchor) -- N=5 knee should distribute across heights
- R6.1 (multi-scatterer) -- needs 3D body model for proper composition
- R14 V1/V2/V3 -- each vertical needs height-recipe
- ADR-029 -- placement is (x, y, z), not (x, y)
- R12 PABS -- detects intruders standing/sitting/lying with mixed heights

Honest scope: 3-zone discrete approximation, single-pair only, no
furniture occlusion, 0.1 m resolution, greedy search.

Coordination: ticks/tick-21.md, no PROGRESS.md edit.
2026-05-22 04:17:47 -04:00
..
environment feat: 4 sensing examples — sleep apnea, stress, room environment 2026-03-15 16:50:04 -04:00
happiness-vector chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
medical feat: 10-in-1 medical vitals suite from single mmWave sensor 2026-03-15 18:05:42 -04:00
research-sota research(R6.2.1): 3D antenna placement — ceiling-only gives 0% coverage; mixed-height wins (#724) 2026-05-22 04:17:47 -04:00
sleep feat: 4 sensing examples — sleep apnea, stress, room environment 2026-03-15 16:50:04 -04:00
stress feat: 4 sensing examples — sleep apnea, stress, room environment 2026-03-15 16:50:04 -04:00
three.js fix(three.js): graceful banner when X Bot.fbx 404s on gh-pages (#651) 2026-05-19 18:43:21 -04:00
README.md feat: 10-in-1 medical vitals suite from single mmWave sensor 2026-03-15 18:05:42 -04:00
ruview_live.py feat: happiness scoring pipeline + ESP32 swarm with Cognitum Seed (#285) 2026-03-20 18:46:34 -04:00

README.md

Examples

Real-time sensing applications built on the RuView platform.

Unified Dashboard (start here)

pip install pyserial numpy
python examples/ruview_live.py --csi COM7 --mmwave COM4

The live dashboard auto-detects available sensors and displays fused vitals, environment data, and events in real-time. Works with any combination of sensors.

Individual Examples

Example Sensors What It Does
ruview_live.py CSI + mmWave + Light Unified dashboard: HR, BR, BP, stress, presence, light, RSSI
Medical: Blood Pressure mmWave Contactless BP estimation from HRV
Medical: Vitals Suite mmWave 10-in-1: HR, BR, BP, HRV, sleep stages, apnea, cough, snoring, activity, meditation
Sleep: Apnea Screener mmWave Detects breathing cessation events, computes AHI
Stress: HRV Monitor mmWave Real-time stress level from heart rate variability
Environment: Room Monitor CSI + mmWave Occupancy, light, RF fingerprint, activity events

Hardware

Port Device Cost What It Provides
COM7 ESP32-S3 (WiFi CSI) ~$9 Presence, motion, breathing, heart rate (through walls)
COM4 ESP32-C6 + Seeed MR60BHA2 ~$15 Precise HR/BR, presence, distance, ambient light

Either sensor works alone. Both together enable fusion (mmWave 80% + CSI 20%).

Quick Start

pip install pyserial numpy

# Unified dashboard (recommended)
python examples/ruview_live.py --csi COM7 --mmwave COM4

# Blood pressure estimation
python examples/medical/bp_estimator.py --port COM4

# Sleep apnea screening (run overnight)
python examples/sleep/apnea_screener.py --port COM4 --duration 28800

# Stress monitoring (workday session)
python examples/stress/hrv_stress_monitor.py --port COM4 --duration 3600

# Room environment monitor
python examples/environment/room_monitor.py --csi-port COM7 --mmwave-port COM4

# CSI only (no mmWave)
python examples/ruview_live.py --csi COM7 --mmwave none