Timewarp Correction Angle
Approximate angular pose correction from angular velocity times late-update latency.
Description
Approximate angular pose correction from angular velocity times late-update latency.
Timewarp Correction Angle is a focused tool for the following task. Approximate angular pose correction from angular velocity times late-update latency. It reports Correction Degrees from the values you provide rather than inventing measurements, coefficients, or professional judgment that are not part of the input.
When to use Timewarp Correction Angle
Use this virtual-reality calculation for a first-order display, optics, tracking, rendering, or latency estimate when all stages and units are explicitly defined.
- Angular Velocity Degrees Per Second (deg/s)
- Required number in deg/s.
- Latency Milliseconds (ms)
- Required number in ms.
The cited overview of Virtual reality sickness supplies background for the terminology and domain context used by this tool.1
How Timewarp Correction Angle works
Approximate angular pose correction from angular velocity times late-update latency. Inputs are interpreted exactly in the displayed units and the calculation returns the following fields without presentation rounding.
- Correction Degrees (deg)
- Returned number in deg.
Limitations and assumptions
- Lens calibration, per-eye geometry, display scanout, asynchronous pipelines, tracking filters, workload variation, user anatomy, and device firmware can make measured VR behavior differ from a serial model.
- Latency Milliseconds must be at least 0.
- Use finite inputs in the displayed units, preserve source measurements and assumptions, and independently verify consequential decisions.
Alternative or Complementary approaches
Validate the estimate on the target headset with calibrated motion, optical, frame-timing, and latency measurements under a representative workload.
References
-
Virtual reality sickness — Wikipedia contributors
Similar or alternative tools
- Motion To Photon Latency
Serial motion-to-photon estimate from sensing, pose processing, rendering, compositing, scanout and pixel response.
- Prediction Latency
Prediction horizon in milliseconds from pose-measurement timestamp to target display timestamp on the same clock.
- Reprojection Error Pixels
Approximate horizontal reprojection error in pixels from signed angular error and nominal pixels per degree.