Egocentric First Aid and Clinical Skills Training Data

Egocentric first aid and clinical skills training data is first-person video of practice tasks: bandaging, CPR and recovery positions on a training mannequin, applying and inflating a BP cuff on a mannequin, changing a dressing on a phantom, peeling open packs and arranging instruments, and passing instruments in sequence. It is recorded from the operator viewpoint, with depth, 3D hand pose, contact events and frame-accurate action segments aligned on one hardware clock.

The site lists these as five catalog rows in two environments. This page covers those five and describes what is collected for robot training, not how to deliver care.

The task catalog states one first aid row and four clinical bench rows. First Aid Training sits in the School & Training Facility environment, in the Education & Childcare sector. BP cuff (mannequin), Wound dressing (phantom), Sterile field setup and Instrument pass sit in the Wet Lab & Clinical Bench environment, in the Healthcare & Life Sciences sector.

Ratings are one Easy (BP cuff (mannequin)) and four Medium. All five are listed as Available on request. The first table below gives each row exactly as the catalog words it, with its environment, capture mode and status.

No real patients are recorded. The healthcare data page states that capture in healthcare settings happens only in training environments with simulated patients, and that real patient footage is never captured, under any circumstance, regardless of what a spec requests.

The five rows say so themselves: a training mannequin, a mannequin, a phantom, and in the two setup rows a bench with packs and instruments. The site does not say which mannequin or phantom is used, so that is settled in the written spec. Everything on this page is simulated practice.

No. The five rows describe physical practice tasks. The site states no diagnosis, treatment, assessment or clinical decision for any of them, and no first aid certification, accreditation, medical-device status or compliance programme. This page makes none of those claims, and nothing here is clinical or first aid guidance.

The site names no training provider, course or hospital for these rows, and does not say a demonstration shows correct technique.

The environment examples for First Aid Training read "Classrooms, training centres, first-aid and vocational training rooms". The environment examples for the bench rows read "Burette, pipettes, balance, labware, phantom for any invasive step".

Each row is Available on request, which the site defines as scoped and recruited to spec when a buyer asks for it. The site states that clinical and care settings are among its thinner-coverage environments, so access, sites and schedule are agreed in the written spec.

First Aid Training uses the mode Phone (head-mounted) / multiview rig, which the site describes in general as the first-person view of a task, with a wrist-mounted camera available alongside the head camera.

The four bench rows use Multiview rig + handheld grippers, which the site describes as a staged working set recorded by a multiview rig while the operator performs the task with handheld grippers, so demonstrations map onto a robot end effector.

Each episode follows the episode schema used across Firsthand custom collections: ten streams synced under 2 ms, with head and wrist RGB, depth, 3D hand pose with per-joint visibility, contact and grasp events, and frame-accurate action segments. Depth marks distance-invalid pixels rather than interpolating them.

For a bandage or a dressing, contact events mark when the fingers make and break contact with the prop or the item being placed, and action segments mark where one step ends and the next begins. The site does not state a camera count, resolution, frame rate, or any measurement of pressure, force or pace, so this page makes no precision claim.

Medical Procedures (Hospital & Clinical Care, Hard), Connect Luer syringe, Therapeutic exercise guidance and the twelve Care Room rows sit close to these five but are not counted. The third table below lists them. The catalog has no row for suturing, injection technique, patient assessment, triage or emergency response, and this page does not claim any.

Each of the five rows is a sequence of manipulations in a set order, performed with two hands on a prop: wrapping, pressing, inflating, peeling, arranging and handing over. First-person data gives the hand and object detail for each move, and the action segments give the order.

A mannequin or phantom lets those motions be recorded repeatedly without a person in the scene. The site states no robot results for these rows and makes no claim that any model was trained on this data.

A mannequin or phantom does not move, react or change, and the site does not say whether its props simulate tissue, pulse or pressure. Whether a CPR compression was correct, a cuff reached a target pressure or a dressing sealed is not a label the site states. The data records what the hands did, not a clinical result.

Every episode links to a signed contributor release through a documented consent chain, and the consent record is part of the delivery. Contributors are the people who perform the tasks, so their release covers the footage captured of their hands and workspace.

Faces, plates and screens are detected and irreversibly blurred at ingest, and a reviewer confirms the result before anything ships. Clips that cannot be de-identified are discarded. The anonymization record is delivered with the data.

Delivery formats are RLDS, LeRobot and WebDataset, plus HDF5, zarr and Rerun .rrd. The first three are the training-loader formats; HDF5 and zarr carry arrays for custom pipelines, and Rerun .rrd gives a multi-stream synchronized playback file for review. The last table below sets each against what its official documentation states.

Where coverage is already deep, the first validated batch lands in a median of 48 hours from signed spec. Thin environments typically take three to four weeks, because vetting operators there is the bottleneck, and we quote that timeline up front.

The site lists clinical settings among the thin environments. The five rows are Available on request, so the timeline is quoted against your spec. On-demand top-ups run against the same spec after each training run.

You describe the practice tasks your policy needs: which of the five rows, the prop, the start state and the end state. We turn that into a written spec covering tasks, environments, capture mode, annotation depth, the simulated-patient boundary and accept criteria, then quote reach, timeline and price against that document before any capture begins.

A Spec Pilot, a small and fast first batch, can prove the spec and the accept criteria before you scale volume. Billing is per validated hour, a reject log ships with every batch, and rejected items are recaptured at our cost.