Evolutionary programming Kalman filter
Information Sciences—Informatics and Computer Science: An International Journal
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Possibilistic Kalman filtering for radar 2D tracking
Information Sciences: an International Journal
Double exponential smoothing: an alternative to Kalman filter-based predictive tracking
EGVE '03 Proceedings of the workshop on Virtual environments 2003
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Designing Laser Gesture Interface for Robot Control
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
Journal of Computing Sciences in Colleges
A Scalable Distributed Paradigm for Multi-User Interaction with Tiled Rear Projection Display Walls
IEEE Transactions on Visualization and Computer Graphics
Tracking a moving object via a sensor network with a partial information broadcasting scheme
Information Sciences: an International Journal
Information Sciences: an International Journal
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This paper proposes a new jitter reduction scheme based on double exponential smoothing (DES). We compare this DES-based method to jitter reduction methods based on the Kalman filter (KF) and extended Kalman filter (EKF), two well-known methods of jitter reduction. To evaluate the jitter reduction performance, we used a laser pointer interaction system with a known problem with jittery laser spot movements caused by natural hand tremors. We show that the DES-based scheme runs approximately 100 times faster than the EKF-based method and 19 times faster than the KF-based method. Furthermore, in terms of jitter reduction, the proposed DES-based method yields approximately 18% better results than the EKF-based method and 20% better results than the KF-based method.