Improve post-decoding trajectory regulation and control smoothness in continuous BCI control

Develop and integrate post-decoding trajectory regulation mechanisms to enhance control smoothness for continuous pursuit motion control using the proposed Bayesian acceleration-level EEG decoder, addressing the identified open need for improved trajectory regulation and smoothness.

Background

While the paper focuses on decoding accuracy and demonstrates advantages for acceleration-level Bayesian inference, the authors note that downstream regulation of trajectories and smooth control has not been the primary emphasis and requires further development.

They suggest that hierarchical regulatory mechanisms and principles such as minimum-jerk trajectory shaping could be explored to stabilize and smooth continuous control in real-time applications.

References

Third, the current work primarily emphasized decoding accuracy, while post-decoding trajectory regulation and control smoothness remain open areas for improvement.