Nov 2, 2017 · In this paper, we propose an enhanced classification technique using an unscented Kalman filter (UKF) for brain computer interface (BCI) ...
In this paper, we propose an enhanced classification technique using an unscented Kalman filter UKF for brain computer interface BCI signal processing.
In this paper, we propose an enhanced classification technique using an unscented Kalman filter (UKF) for brain computer interface (BCI) signal processing.
We here investigated a non-linear ensemble Kalman filter (SPKF) application to a motor imagery brain computer interface (BCI). A square root central difference ...
Abstract: In this paper, we propose an enhanced classification technique using an unscented Kalman filter (UKF) for brain computer interface (BCI) signal ...
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The unscented Kalman filter UKF is applied to the BCI signal processing to classify the EEG-based motor imagery signals to outperform the other previous ...
Our results indicate that the enhancements of the UKF2 improved the functionality of the decoder. Some of the enhancements, such as modeling of hand ...
This paper presents the unscented Kalman filter UKF to the BCI signal processing to classify the EEG-based motor imagery signals.
There are several alternative ways to approach this non-linear state space mapping, in particular the Unscented Kalman Filter (UKF) (Julier & Uhlmann, 1997), ...
Nov 1, 2016 · This paper presents the unscented Kalman filter (UKF) to the BCI signal processing to classify the EEG-based motor imagery signals.