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Predictive Head Tracking for Virtual Reality

    Research output: Contribution to journalArticlepeer-review

    Abstract

    In virtual reality (VR), head movement is tracked through inertial and optical sensors. Computation and communication times result in delays between measurements and updating of the new frame in the head mounted display(HMD). These delays result in problems, including motion sickness. We use recurrent and time delay neural networks to predict the head location and use it to calculate the new frame. A predictability analysis is used in designing the prediction system

    Keywords

    • HMD
    • Head Mounted Display
    • Head Movement Tracking
    • Helmet Mounted Displays
    • Inertial Sensors
    • Motion Sickness
    • Optical Sensors
    • Predictability Analysis
    • Predictive Head Tracking
    • Recurrent Neural Nets
    • Recurrent Neural Networks
    • Time Delay Neural Networks
    • Tracking
    • VR
    • Virtual Reality

    Disciplines

    • Electrical and Computer Engineering

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