Lyudmila S. Mihaylova — accepted AI-conference papers

2019

A Novel Three Dimensional Probability-based Classifier for Improving Motor Imagery-based BCI

Adrian L. Ashley, Mahnaz Arvaneh, Lyudmila S. Mihaylova

ICASSP 2019accepted

Objective: Motor imagery BCI based assistive robotics solution has the potential to empower the upper mobility independence of a disabled person. The objective of this work was to compare the classification performance of well-established classifiers with a novel prototype classifier.Approach: We de…

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2019

A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface

Joshua Giles, Kai Keng Ang, Lyudmila S. Mihaylova, Mahnaz Arvaneh

ICASSP 2019accepted

One of the major limitations of current electroencephalogram (EEG)-based brain-computer interfaces (BCIs) is the long calibration time. Due to a high level of noise and non-stationarity inherent in EEG signals, a calibration model trained using limited number of train data may not yield an accurate…

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