Enforce scientifically honest naming, DTO contracts, confidence fields, validation status, and proxy-metric semantics across frontend, backend, gateway, ML, and reports. Use this when adding or refactoring metrics, APIs, labels, or reports.
Implement or refactor the ESP32 CSI ingestion path, serial parser, normalization layer, bounded buffers, websocket events, and realtime proxy-metric pipeline. Use this when working on apps/gateway, firmware packet contracts, or end-to-end CSI flow reliability.
Build or refine the inferred motion layer, including synthetic front/rear/lateral renderings, model-confidence UX, inferred-motion DTOs, and safety language. Use this when working on 2D/3D motion rendering, replay, or advanced Wi-Fi pose features.
Build or refine session replay, event timelines, stage overlays, printable reports, and longitudinal summaries for treadmill sessions. Use this when working on replay views, report generation, trend comparisons, or export surfaces.
Build or improve treadmill station calibration workflows, calibration UI, calibration persistence, baseline collection, and station health logic. Use this when working on calibration screens, station setup, environment baselines, or signal-quality workflows.
Implement or improve reference-data imports, timestamp alignment, validation workflows, error summaries, and experiment tracking for treadmill, IMU, video-derived, pressure, or force-plate comparisons. Use this when working on validation pipelines or import…