All capabilities
Agriculture & Livestock Shared-family mapped

GaitGuard

Taught Lameness & Abnormal-Gait Signature

Tag a few limping animals — it learns to spot limping everywhere.

Readiness Shared-family mapped

Mapped to a shared offline runtime family and usable with a recording or compatible ESP32 CSI stream.

Evidence Frontier Unvalidated concept

An early research proposal with no capability-specific product validation yet.

Runtime family Gait signature

Repeatable movement-signature comparison, not biometric identification.

When no ESP32 is connected

No compatible ESP32 stream is connected. Use the bundled Agriculture recording; it demonstrates the shared Gait signature runtime, not independent proof of this capability.

Intended capability

Pilot this intended outcome through the shared Gait signature family, then validate it against site-specific ground truth: A trainable gait-anomaly detector that the farmer teaches by tagging a few lame animals, after which it scores every animal's walk for the asymmetric limb-loading rhythm of early lameness — the #1 welfare and culling cost in dairy.

This describes the intended outcome. Readiness is shared-family mapped, evidence is class C, and a catalog mapping or recording is not proof of this outcome at a real site.

Solution blueprint

See the environment before installing it.

This exact kit is one of 191 first-class designs. It includes geometry, objects, nodes, wording, scenarios, installation, limitations, and catalog-bound readiness.

Shared-family mapped

No rendered revision is available yet.

Bundled recording

A related Agriculture scene

This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.

01 The physics

Locomotion imprints a periodic multi-limb micro-Doppler signature; lameness introduces a measurable left/right timing and amplitude asymmetry and altered stride cadence, a specific deformation of the normal gait rhythm rather than a change in overall activity.

02 Shared processing path

Doppler micro-Doppler gait-cycle extraction along RTI-tracked walking paths -> axis discovery (poke-and-observe): controlled labeling of confirmed-lame vs sound animals teaches a lameness axis -> project new gaits onto that axis -> anomaly manifold + CUSUM for gradual worsening

This is a capability design path. Components may be shared with other catalog entries; it is not presented as a unique algorithm.

03 Validation plan

Own-hardware over a race/return-alley vs veterinary locomotion-scoring (1-5) and force-plate ground truth; SenseFi/CSI-Bench gait/activity data to prototype the micro-Doppler gait-cycle extractor before the taught axis.

04 Commercial hypothesis

'GaitGuard' — self-training lameness screener at the parlor exit for dairies; catches lameness days earlier when it is still curable and cheap.