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EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation
Furthermore, the classifier was evaluated to predict unilateral movements by only beeing trained on the data of the bilateral movement condition.
EEG and EMG dataset for the detection of errors introduced by an active orthosis device
The aim of this study was to provide a dataset to the research community, particularly for the development of new methods in the asynchronous detection of erroneous events from the EEG.
Continuous ErrP detections during multimodal human-robot interaction
To this end, the best combinations of forward and backward sliding windows will be automatically selected to account for inter-subject variability in classification performance.
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