Introduction to Detecting Input Recognition Errors And User Errors Using Gaze Dynamics In Virtual Reality
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Hardware - Eye Gaze Input
DEEP: 3D Gaze Pointing in Virtual Reality Leveraging Eyelid Movement
Leveraging Error Correction in Voice-based Text Entry by Talk-and-Gaze
RIDS: Implicit Detection of a Selection Gesture Using Hand Motion Dynamics During Pointing in VR
Hatching Chicks VR Project - Implementing A Gaze System
Gaze-based Interaction in Virtual Reality - Calibration of Eye Tracking and Motion Capturing
Lattice Menu: A Low-Error Gaze-Based Marking Menu Utilizing Target-Assisted Gaze Gestures on a ...
Configurable error handling for agentic virtual agents
Virtual commissioning: Find logic and sequence errors before FAT
Webinar: How QOGI Automated Validation Eliminates Human Error Introducing OPGAL's EyeQGas
Neural Networks for Semantic Gaze Analysis in XR Settings
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Last Updated: September 30, 2026
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Detecting Input Recognition Errors Homepage: cranehzm.github.io/DC.html. Authors: Ting Zhang, Zhenhong Hu, Aakar Gupta, Chi-Hao Wu, Hrvoje Benko, Tanya R. Jonker UIST '22: Proceedings of the 35th ... This video shows one of our early versions of Join Opgal for an exclusive look at new EyeQGas. The next evolution in Optical Gas Imaging. Learn how autonomous ...
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