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Marius Oßwald
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Accurate continuous prediction of 14 degrees of freedom of the hand from myoelectrical signals through convolutive deep learning
RC Sîmpetru, M Osswald, DI Braun, DS Oliveira, AL Cakici, A Del Vecchio
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
62022
Sensing the Full Dynamics of the Human Hand with a Neural Interface and Deep Learning
RC Sîmpetru, A Arkudas, DI Braun, M Osswald, DS de Oliveira, B Eskofier, ...
bioRxiv, 2022.07. 29.502064, 2022
42022
Simplifying computer aided ergonomics: A user-product interaction-modeling framework in CAD based on a taxonomy of elementary affordances
A Wolf, Y Wagner, M Oßwald, J Miehling, S Wartzack
IISE transactions on occupational ergonomics and human factors 9 (3-4), 186-198, 2021
42021
A generalized framework for the study of spinal motor neurons controlling the human hand during dynamic movements
AL Cakici, M Osswald, DS De Oliveira, DI Braun, RC Sîmpetru, T Kinfe, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
12022
Mechanical Hand Synergies during Dynamic Hand Movements are Mostly Controlled in a Non-Synergistic Way by Spinal Motor Neurons
M Osswald, AL Cakici, DI Braun, D Souza de Oliveira, A Del Vecchio
bioRxiv, 2023.07. 25.550369, 2023
2023
You Will Grasp Again: A Direct Spinal Cord/Computer Interface with the Spared Motor Neurons Restores the Dexterous Control of the Paralyzed Hand after Chronic Spinal Cord Injury
DS Oliveira, M Ponfick, DI Braun, M Osswald, M Sierotowicz, S Chatterjee, ...
medRxiv, 2022.09. 09.22279611, 2022
2022
Simplifying Ergonomic Assessment for Designers: A User-Product Interaction-Modelling Framework in CAD
A Wolf, Y Wagner, M Oßwald, J Miehling, S Wartzack
Proceedings of the 21st Congress of the International Ergonomics Association …, 2022
2022
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