Title :
Predictive head tracking for virtual reality
Author :
Saad, E.W. ; Caudel, T.P. ; Wunsch, D.C.
Author_Institution :
Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
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 :
helmet mounted displays; recurrent neural nets; tracking; virtual reality; HMD; VR; head mounted display; head movement tracking; inertial sensors; motion sickness; optical sensors; predictability analysis; predictive head tracking; recurrent neural networks; time delay neural networks; virtual reality; Computer displays; Delay effects; Multidimensional systems; Neural networks; Optical sensors; Predictive models; Recurrent neural networks; Sampling methods; Tracking; Virtual reality;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.830785
