Name
Abstract | ||
|---|---|---|
Display lag in simulation environments with helmet-mounted displays causes a loss of immersion that degrades the value of virtual/augmented reality training simulators. Simulators use predictive tracking to compensate for display lag, preparing display updates based on the anticipated head motion. This paper proposes a new method for predicting head orientation using a delta quaternion (DQ)-based extended Kalman filter (EKF) and compares the performance to a quaternion EKF. The proposed framework operates on the change in quaternion between consecutive data frames (the DQ), which avoids the heavy computational burden of the quaternion motion equation. Head velocity is estimated from the DQ by an EKF and then used to predict future head orientation. We have tested the new framework with captured head motion data and compared it with the computationally expensive quaternion filter. Experimental results indicate that the proposed DQ method provides the accuracy of the quaternion method without the heavy computational burden. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TSMCB.2009.2016571 | IEEE Transactions on Systems, Man, and Cybernetics, Part B |
Keywords | Field | DocType |
delta quaternions,head motion data,computationally expensive quaternion filter,reality training simulator,helmet mounted displays,virtual reality,extended kalman filter,kalman filters,future head orientation,kalman filtering,head orientation,quaternion ekf,helmet mounted display,quaternion method,head orientation prediction,augmented reality,tracking,anticipated head motion,prediction methods,display lag,compensation,head velocity,quaternion motion equation,heavy computational burden,delta quaternion,kalman filter,displays,quaternions,filtering,degradation,predictive models,layout | Computer vision,Extended Kalman filter,Control theory,Computer science,Quaternion,Filter (signal processing),Augmented reality,Kalman filter,Artificial intelligence,Equations of motion,Helmet-mounted display,Display lag | Journal |
Volume | Issue | ISSN |
39 | 6 | 1941-0492 |
Citations | PageRank | References |
11 | 0.75 | 19 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henry Himberg | 1 | 22 | 2.58 |
| Yuichi Motai | 2 | 230 | 24.68 |