Yoon, Ji Won and Roberts, Stephen J and Dyson, Matthew and Gan, John Q (2008) Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. In: UNSPECIFIED, ? - ?.
Yoon, Ji Won and Roberts, Stephen J and Dyson, Matthew and Gan, John Q (2008) Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. In: UNSPECIFIED, ? - ?.
Yoon, Ji Won and Roberts, Stephen J and Dyson, Matthew and Gan, John Q (2008) Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. In: UNSPECIFIED, ? - ?.
Abstract
This paper proposes a robust algorithm for adaptive modelling of EEG signal classification using a modified Extended Kalman Filter (EKF). This modified EKF combines Radial Basis functions (RBF) and Autoregressive (AR) modeling and obtains better classification performance by truncating the filtering distribution when new observations are very informative. © 2008 Springer Berlin Heidelberg.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | Published proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Uncontrolled Keywords: | Extended Kalman Filter; Informative Observation; Logistic Classification; Truncated Filtering |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 15 Dec 2012 16:24 |
| Last Modified: | 04 Dec 2024 07:13 |
| URI: | http://repository.essex.ac.uk/id/eprint/4186 |