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Marius Osswald

Showing results (1-10 of 6) with videos related to

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IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|July 11, 2025
Towards Unsupervised Incremental and Proportional Myocontrol Based on Higher-Density Surface ElectromyographyAlisa Schulz, Fabio Egle, Marius Osswald, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Accurate Continuous Prediction of 14 Degrees of Freedom of the Hand from Myoelectrical Signals through Convolutive Deep LearningRaul C Simpetru, Marius Osswald, Dominik I Braun, et al.
IEEE Transactions on Bio-Medical Engineering|July 23, 2024
Learning a Hand Model From Dynamic Movements Using High-Density EMG and Convolutional Neural NetworksRaul C Simpetru, Andreas Arkudas, Dominik I Braun, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Generalized Framework for the Study of Spinal Motor Neurons Controlling the Human Hand During Dynamic MovementsAndre L Cakici, Marius Osswald, Daniela Souza De Oliveira, et al.
Brain : a Journal of Neurology|March 19, 2024
A direct spinal cord-computer interface enables the control of the paralysed hand in spinal cord injuryDaniela Souza Oliveira, Matthias Ponfick, Dominik I Braun, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 25, 2025
(Un)supervised (Co)adaptation via Incremental Learning for Myoelectric Control: Motivation, Review, and Future DirectionsEvan Campbell, Fabio Egle, Marius Osswald, et al.
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Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|July 11, 2025
Towards Unsupervised Incremental and Proportional Myocontrol Based on Higher-Density Surface ElectromyographyAlisa Schulz, Fabio Egle, Marius Osswald, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Accurate Continuous Prediction of 14 Degrees of Freedom of the Hand from Myoelectrical Signals through Convolutive Deep LearningRaul C Simpetru, Marius Osswald, Dominik I Braun, et al.
IEEE Transactions on Bio-Medical Engineering|July 23, 2024
Learning a Hand Model From Dynamic Movements Using High-Density EMG and Convolutional Neural NetworksRaul C Simpetru, Andreas Arkudas, Dominik I Braun, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Generalized Framework for the Study of Spinal Motor Neurons Controlling the Human Hand During Dynamic MovementsAndre L Cakici, Marius Osswald, Daniela Souza De Oliveira, et al.
Brain : a Journal of Neurology|March 19, 2024
A direct spinal cord-computer interface enables the control of the paralysed hand in spinal cord injuryDaniela Souza Oliveira, Matthias Ponfick, Dominik I Braun, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 25, 2025
(Un)supervised (Co)adaptation via Incremental Learning for Myoelectric Control: Motivation, Review, and Future DirectionsEvan Campbell, Fabio Egle, Marius Osswald, et al.
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