Does the tool upload my data?

No. The calculations and CSV summaries run in the browser. Exported summaries are generated locally from the values you enter.

How does this relate to ConductVision?

The free tool helps document or prepare a research workflow. ConductVision Human Tracking performs markerless analysis on research video and exports keypoints, overlays, and metrics.

ToolsHuman Tracking Video Readiness Checklist

ConductVisionFree in-browser calculator

Human Tracking Video Readiness Checklist.

Choose a ConductVision Human research application and generate protocol-specific video readiness checks.

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PrivateData stays in your browser

LiveNo sign-up required

Validated2026-06-02

CitableMethods and citation included

Calculator

Results update in place

Research use only. This tool is for education, protocol documentation, and research workflow planning. It is not for care decisions, participant triage, or health advice.

Capture setup

Protocol

Camera

Frame rate

Scale reference

Checklist

Select the research application before choosing camera view.

Confirm the main body parts or facial landmarks remain visible.

Record a short pilot clip and review keypoint confidence before the full session.

Keep file names structured so metadata can be parsed later.

Document consent, governance, and storage requirements outside the calculator.

Export raw keypoints, confidence values, and overlays when available.

Human tracking readiness checklist

Human tracking readiness checklist

Protocol: human-gait
Camera: fixed side-view camera
Frame rate target: 60 fps
Scale reference: in-frame calibration marker

1. Select the research application before choosing camera view.
2. Confirm the main body parts or facial landmarks remain visible.
3. Record a short pilot clip and review keypoint confidence before the full session.
4. Keep file names structured so metadata can be parsed later.
5. Document consent, governance, and storage requirements outside the calculator.
6. Export raw keypoints, confidence values, and overlays when available.

Video readiness was documented before markerless research analysis.
Research use only. This tool is for education, protocol documentation, and research workflow planning. It is not for care decisions, participant triage, or health advice.

When to use

For research protocol documentation and descriptive session summaries
For preparing ConductVision Human Tracking video workflows
For organizing export-ready methods text, filenames, or CSV quality checks

Do not use for

For care decisions, participant triage, or health advice
As a substitute for IRB-approved protocol definitions or trained research review
As proof that a study endpoint has been validated in your study population

Keep the language research-only

Use participant, subject, trial, protocol, and research session language. Avoid care-directed interpretations.

Preserve raw files and exports

Store source video, keypoint exports, confidence values, and session notes so outputs remain auditable.

Pilot before full capture

Run one short pilot and inspect visibility, lighting, scale references, and keypoint confidence before collecting a full dataset.

Method

The tool performs deterministic arithmetic, checklist generation, or CSV summary operations in the browser. It does not assess injuries, classify participants for care, or replace a protocol approved for research use.

Validated

Last validated 2026-06-02. Calculations are designed for planning and documentation support; verify procurement decisions against manufacturer specifications or institutional SOPs.

How to cite

How to Cite

ConductScience Human Tracking Video Readiness Checklist (v0.10.253). ConductScience, Inc. 2026. Available at: https://conductscience.com/tools/human-tracking-video-readiness-checklist

Podsiadlo D, Richardson S. The timed Up & Go: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991;39(2):142-148.

Duncan PW, Weiner DK, Chandler J, Studenski S. Functional Reach task reference. J Gerontol. 1990;45(6):M192-M197.

Mathis A et al. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat Neurosci. 2018;21(9):1281-1289.

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