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A Simple Video-Based Technique for Measuring Latency in Virtual Reality or Teleoperation.
IEEE Transactions on Visualization and Computer Graphics
|March 17, 2020
Summary
This study presents a simple, low-cost method using a consumer camera to measure virtual reality (VR) system latency. This technique helps identify delays that impact user performance and cause simulator sickness.
Area of Science:
- Human-Computer Interaction
- Virtual Reality Systems
- Measurement Techniques
Background:
- Virtual reality (VR) system designers must minimize delays between user actions and virtual environment responses.
- These delays, known as end-to-end latency, negatively impact user performance and can induce simulator sickness.
- Existing methods for latency measurement often require specialized hardware and software, limiting their applicability.
Purpose of the Study:
- To introduce a convenient and low-cost technique for measuring end-to-end latency in VR systems.
- To enable latency measurement using readily available equipment, such as a consumer camera (e.g., cell phone camera).
- To provide a method that can assess latency in specific hardware/software configurations and relevant performance environments.
Main Methods:
- The proposed technique utilizes a human evaluator and an ordinary consumer camera to capture user actions and system responses.
- It avoids the need for specialized hardware or software, making it broadly accessible.
- The method was experimentally validated to assess its achievable measurement accuracy.
Main Results:
- The experimental trial demonstrated a measurement uncertainty below 10 milliseconds (ms).
- The technique proved effective in measuring end-to-end latencies in a practical setting.
- Potential refinements were discussed to further enhance accuracy to approximately 1 ms.
Conclusions:
- A convenient, low-cost method for measuring VR system end-to-end latency has been developed.
- This technique offers a practical alternative to specialized equipment, facilitating broader adoption.
- Further refinements hold promise for achieving highly accurate latency measurements, crucial for optimizing VR experiences.

