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Ioannis Iossifidis

Showing results (1-10 of 12) with videos related to

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Frontiers in Human Neuroscience|July 11, 2022
Error-Related Potentials in Reinforcement Learning-Based Brain-Machine InterfacesAline Xavier Fidêncio, Christian Klaes, Ioannis Iossifidis
Scientific Data|July 24, 2025
Hand Motion Catalog of Human Center-Out Transport Trajectories Measured Redundantly in 3D Task-SpaceTim Sziburis, Susanne Blex, Tobias Glasmachers, et al.
Scientific Reports|January 6, 2026
Insights into motor control: predict muscle activity from upper limb kinematics with LSTM networksMarie D Schmidt, Tobias Glasmachers, Ioannis Iossifidis
Frontiers in Human Neuroscience|August 1, 2024
A generic error-related potential classifier based on simulated subjectsAline Xavier Fidêncio, Christian Klaes, Ioannis Iossifidis
Biomedical Engineering Online|June 24, 2023
The concepts of muscle activity generation driven by upper limb kinematicsMarie D Schmidt, Tobias Glasmachers, Ioannis Iossifidis
Frontiers in Human Neuroscience|June 19, 2025
Hybrid brain-computer interface using error-related potential and reinforcement learningAline Xavier Fidêncio, Felix Grün, Christian Klaes, et al.
Journal of Neural Engineering|October 7, 2022
Deep transfer learning compared to subject-specific models for sEMG decodersStephan Johann Lehmler, Muhammad Saif-Ur-Rehman, Glasmachers Tobias, et al.
Computers in Biology and Medicine|November 19, 2023
ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training dataOmair Ali, Muhammad Saif-Ur-Rehman, Tobias Glasmachers, et al.
Scientific Reports|March 11, 2022
Enhancing the decoding accuracy of EEG signals by the introduction of anchored-STFT and adversarial data augmentation methodOmair Ali, Muhammad Saif-Ur-Rehman, Susanne Dyck, et al.
Frontiers in Neurorobotics|October 9, 2024
Human in the collaborative loop: a strategy for integrating human activity recognition and non-invasive brain-machine interfaces to control collaborative robotsArtur Pilacinski, Lukas Christ, Marius Boshoff, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Frontiers in Human Neuroscience|July 11, 2022
Error-Related Potentials in Reinforcement Learning-Based Brain-Machine InterfacesAline Xavier Fidêncio, Christian Klaes, Ioannis Iossifidis
Scientific Data|July 24, 2025
Hand Motion Catalog of Human Center-Out Transport Trajectories Measured Redundantly in 3D Task-SpaceTim Sziburis, Susanne Blex, Tobias Glasmachers, et al.
Scientific Reports|January 6, 2026
Insights into motor control: predict muscle activity from upper limb kinematics with LSTM networksMarie D Schmidt, Tobias Glasmachers, Ioannis Iossifidis
Frontiers in Human Neuroscience|August 1, 2024
A generic error-related potential classifier based on simulated subjectsAline Xavier Fidêncio, Christian Klaes, Ioannis Iossifidis
Biomedical Engineering Online|June 24, 2023
The concepts of muscle activity generation driven by upper limb kinematicsMarie D Schmidt, Tobias Glasmachers, Ioannis Iossifidis
Frontiers in Human Neuroscience|June 19, 2025
Hybrid brain-computer interface using error-related potential and reinforcement learningAline Xavier Fidêncio, Felix Grün, Christian Klaes, et al.
Journal of Neural Engineering|October 7, 2022
Deep transfer learning compared to subject-specific models for sEMG decodersStephan Johann Lehmler, Muhammad Saif-Ur-Rehman, Glasmachers Tobias, et al.
Computers in Biology and Medicine|November 19, 2023
ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training dataOmair Ali, Muhammad Saif-Ur-Rehman, Tobias Glasmachers, et al.
Scientific Reports|March 11, 2022
Enhancing the decoding accuracy of EEG signals by the introduction of anchored-STFT and adversarial data augmentation methodOmair Ali, Muhammad Saif-Ur-Rehman, Susanne Dyck, et al.
Frontiers in Neurorobotics|October 9, 2024
Human in the collaborative loop: a strategy for integrating human activity recognition and non-invasive brain-machine interfaces to control collaborative robotsArtur Pilacinski, Lukas Christ, Marius Boshoff, et al.
Pageof 2