Automated release from CI pipeline
Changes:
research(R14): empathic appliances — vision + ethical framework + infrastructure gap inventory (#709)
Speculative 10-20y vision thread covering three concrete vertical sketches:
- V1 stress-responsive lighting (5y) — breathing-rate baseline + warm-shift lights
- V2 adaptive HVAC for thermal-stress envelopes (10y) — published HVAC-personalisation 15-20% energy savings
- V3 conversational appliances respecting attention state (15y) — don't interrupt during focused work
Maps existing RuView components to each: 5 already shipped (breathing rate
detector, occupancy gates via cog-pose / cog-count, motion intensity, partial
RollingP95 baseline learner, MCP API via ADR-104), 4 still to build (full per-room
baseline learner, state classifier model, MCP vitals subscribe tool, consent UI).
Ethical framework drafted as binding constraints any product must honour:
- Opt-in by default — sensing on only after active enable
- Data stays on-device — per-second values never cross the building boundary
- Override is one tap — physical kill switch must work without WiFi/cloud
6-row privacy threat model with mitigations: compromised appliance, MCP raw-signal
leak, adversarial poisoning (mitigated by R7 multi-link consistency), long-term
re-identification, insurance/employer access, non-consenting cohabitants.
Honest scope: clinical breathing-rate-as-stress literature is lab-condition adults;
real-home generalisation unproven. R14 is CSI-only (RSSI loses the per-subcarrier
shape needed for shallow-breathing-during-focus signature), bounds rollout to
ESP32-S3-class deployments.
Connections established to R5, R7, R8, ADR-103, ADR-104. Identifies ruview_vitals_subscribe
as the highest-leverage next MCP tool addition.
Coordination: ticks/tick-7.md, no PROGRESS.md touch.
Docker Image:
ghcr.io/ruvnet/RuView:7bd188ab60a74a43885bc6104fc1751fe341030b