3 papers
cs.RO2026
A Feature Extraction Pipeline for Enhancing Lightweight Neural Networks in sEMG-based Joint Torque Estimation
Kartik Chari, Raid Dokhan, Anas Homsi +2
Robot-assisted rehabilitation offers an effective approach, wherein exoskeletons adapt to users' needs and provide personalized assistance. However, to deliver such assistance, acc…
cs.LG2026
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…
eess.SP2024
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…