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
Analyze center-of-mass or pelvis keypoint CSV exports for sway path, velocity, ellipse area, and duration.

Paste x/y keypoint export data from a stance protocol to compute descriptive sway metrics for balance research.
samples
10
path length
0.277
duration sec
0.33
mean velocity
0.831
ellipse area
0.007
Postural sway export summary samples: 10 path length: 0.277 duration sec: 0.33 mean velocity: 0.831 ellipse area: 0.007 Postural sway metrics were computed from research keypoint coordinates and are descriptive only. 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
Do not use for
Use participant, subject, trial, protocol, and research session language. Avoid care-directed interpretations.
Store source video, keypoint exports, confidence values, and session notes so outputs remain auditable.
Run one short pilot and inspect visibility, lighting, scale references, and keypoint confidence before collecting a full dataset.
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.
Last validated 2026-06-02. Calculations are designed for planning and documentation support; verify procurement decisions against manufacturer specifications or institutional SOPs.
ConductScience Postural Sway Calculator (v0.10.253). ConductScience, Inc. 2026. Available at: https://conductscience.com/tools/postural-sway-calculator
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.
ConductVision exports sway and stance metrics from markerless research video.
Open app AppDocument reach trials.
Open app AppPair balance exports with gait metrics.
Open app QuoteGet a quote on equipment or talk to the ConductScience team.
Request quote