Research of Human Head Motion Prediction and Tracking in Virtual Environment

Author

Ma, Dengwu ; Lv, Xiaofeng ; Ye, Wen ; Qu, Xiaoyan

Author_Institution

Dept. of Ordnance Sci. & Technol., Naval Aeronaut. Eng. Acad., Yantai

Volume

1

fYear

0

fDate

0-0 0

Firstpage

1621

Lastpage

1625

Abstract

Visual lag was one of important reasons which brought out simulation sickness. The author analyzed and researched the laws of the human head motion, and constructed the stochastic mathematics model which was taken as a 2nd-order Gauss-Markov stochastic process. Based on the Kalman filter, an effective algorithm for head motion prediction was proposed. With little additional calculation the prediction precision is increased by 15 percent compared with former prediction algorithm and visual lag in virtual reality can be effectively reduced

Keywords

Gaussian processes; Kalman filters; Markov processes; virtual reality; 2nd-order Gauss-Markov stochastic process; Kalman filter; human head motion prediction; stochastic mathematics model; virtual reality; visual lag; Gaussian processes; Humans; Mathematical model; Mathematics; Motion analysis; Prediction algorithms; Stochastic processes; Tracking; Virtual environment; Virtual reality; Guass-Markov process; head motion; kalman filter; simulation sickness; visual lag;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712626

Filename

1712626