Build a room-specific sensing model by recording an empty room and occupants performing activities, then training small specialized models. The workflow continues into live monitoring of presence, posture, and breathing in the calibrated room.
Run the ADR-151 per-room calibration pipeline — baseline → enroll → extract → train → a bank of small specialists (presence/posture/breathing/heartbeat/restlessness/anomaly).
Review the instructions the agent will receive before you install.
Turn a provisioned node + sensing-server into a working room model. Pure-Rust,
edge-deployable (ADR-151). Use the ruview_calibrate tool (installed
wifi-densepose binary, else cargo run -p wifi-densepose-cli).
ruview_calibrate {step: "baseline"}ruview_calibrate {step: "enroll"}ruview_calibrate {step: "train-room"}ruview_calibrate {step: "room-watch"} (or the room-watch skill)The specialists are calibrated to this room; cross-room transfer is a separate
problem (LoRA recalibration, ADR-079 P9). Report which room a number came from, and
tag presence/vitals accuracy MEASURED only with a held-out check — run
ruview_claim_check on the writeup.
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