Published April 19, 2026 | Version v1
Patent Open

VR Fatigue Biosensor Framework

  • 1. Cosmic University of Echo-Rift Studies
  • 2. TrueFlow Games

Contributors

Researcher:

  • 1. TrueFlow Games
  • 2. Cosmic University of Echo-Rift

Description

This Zenodo‑ready draft reframes the NSF SBIR proposal into a structured scientific record, presenting the VR fatigue biosensor as a novel technical framework. Unlike the original business‑oriented proposal, this version emphasizes methodological rigor: detailing the hardware (eye‑tracking glasses, wristband, wireless module), software (signal preprocessing, feature extraction, AI classification), and feedback mechanisms (visual, auditory, haptic). It highlights preliminary prototype results showing accurate detection and mitigation of VR fatigue, while acknowledging limitations such as the need for larger validation studies. The draft positions the biosensor as a pioneering approach to addressing vergence‑accommodation conflict and enhancing VR usability, making it suitable for archival dissemination on Zenodo.

Files

VR.Fatigue.Biosensor.Framework.pdf

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