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Central-Eye: Gaze Tracking Research on Visual Rendering Method in Industrial Virtual Reality Scene

With development of computing technology, virtual reality devices are widely used in Internet-enabled industrial platforms. The problem of virtual reality stuns caused by the increase in visual frequency and real-world scenarios in industrial applications is still remaining the core problem. We proposes a new method called Central-Eye. It adopts a new context-aware solution for eye tracking to obtain the focus of the human eye on the screen, and then based on the distribution of human visual acuity, down-sampling the rendering in the visual edge area to increase the rendering speed to solve the user experience problem. Aiming at the characteristics of industrial virtual reality equipment with large field of view, high frame rate requirements, and eyepiece distortion, we propose a new gaze tracking method combining pattern recognition with local linear fitting. From experimental evaluation, we finally conclude the research that Central-Eye method can virtually improve the user experiences.