By Topic

A novel drift compensating method for orientation measurement system in VR applications

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Changyu He ; Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, School of Optics and Electronics, Beijing Institute of Technology, China ; Xiaoming Hu ; Yue Liu ; Yongtian Wang
more authors

Accurate and fast estimation of a target's orientation with inertial/magnetic sensors is widely applied in many Virtual Reality applications. Due to the abrupt movement of targets, the accuracy of the motion estimate degrades. In this paper, we propose a quaternion-based Kalman filter for a multi-sensor system which utilizes a low-cost tri-axis accelerometer, a tri-axis gyroscope and a tri-axis magnetometer. The proposed Kalman filter combines a novel error model in its measurement update equation which makes it possible to separate the acceleration error from the gravitational acceleration, and achieve an accurate orientation estimate. Due to the computational efficiency of the proposed algorithm, the system is suitable for human motion tracking applications in real-time. Results of simulations and experiments prove the efficiency of the proposed algorithm.

Published in:

Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International

Date of Conference:

13-16 May 2012