Predictive head tracking for virtual reality

Citation data:

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), Page: 3933-3936

Publication Year:
1999
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Repository URL:
http://scholarsmine.mst.edu/ele_comeng_facwork/1835
DOI:
10.1109/ijcnn.1999.830785
Author(s):
Wunsch, Donald C.; Saad, Emad W.; Caudell, T. P.
Publisher(s):
Institute of Electrical and Electronics Engineers (IEEE)
Tags:
HMD; VR; 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; Virtual Reality; HMD; VR; 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; Virtual Reality; Electrical and Computer Engineering
conference paper description
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