7 citations · 10 across the 4 of their papers we have counts for
4 papers
Enhancing Robustness of Asynchronous EEG-Based Movement Prediction using Classifier Ensembles
Niklas Kueper, Kartik Chari, Elsa Andrea Kirchner
Objective: Stroke is one of the leading causes of disabilities. One promising approach is to extend the rehabilitation with self-initiated robot-assisted movement therapy. To enabl…
EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation
Niklas Kueper, Su Kyoung Kim, Elsa Andrea Kirchner
Background: For an individualized support of patients during rehabilitation, learning of individual machine learning models from the human electroencephalogram (EEG) is required. O…
EEG and EMG dataset for the detection of errors introduced by an active orthosis device
Niklas Kueper, Kartik Chari, Judith Bütefür +6
This paper presents a dataset containing recordings of the electroencephalogram (EEG) and the electromyogram (EMG) from eight subjects who were assisted in moving their right arm b…
Continuous ErrP detections during multimodal human-robot interaction
Su Kyoung Kim, Michael Maurus, Mathias Trampler +2
Human-in-the-loop approaches are of great importance for robot applications. In the presented study, we implemented a multimodal human-robot interaction (HRI) scenario, in which a…