Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Nicolas Berberich"'
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 19, Iss 1, Pp 1-18 (2022)
Abstract Soft exosuits offer promise to support users in everyday workload tasks by providing assistance. However, acceptance of such systems remains low due to the difficulty of control compared with rigid mechatronic systems. Recently, there has be
Externí odkaz:
https://doaj.org/article/a81636cbfa184f4ba1dc666d421bde99
Publikováno v:
IEEE Robotics and Automation Letters. 7:11015-11022
Publikováno v:
IEEE Transactions on Medical Robotics and Bionics. 4:541-549
Publikováno v:
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER).
Autor:
Christopher L. Hunt, Keqin Ding, Christoph S. Wagner, Nicolas Berberich, Karahan Yilmazer, Marlis Gonzalez-Fernandez, Gordon Cheng, Nitish V. Thakor
Publikováno v:
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER).
Autor:
Laura Pilger, Nicolas Berberich, Natalia Paredes-Acuña, Adrian Dendorfer, Julio Rogelio Guadarrama-Olvera, Florian Bergner, Daniel Utpadel-Fischler, Gordon Cheng
Publikováno v:
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER).
Publikováno v:
Philosophy & Technology. 33:613-638
To become more broadly applicable, positions on AI ethics require perspectives from non-Western regions and cultures such as China and Japan. In this paper, we propose that the addition of the concept of harmony to the discussion on ethical AI would
Autor:
Xingying Chen, Simone Lohlein, John Nassour, Stefan K. Ehrlich, Nicolas Berberich, Gordon Cheng
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
This paper presents a visually-guided grip selection based on the combination of object recognition and tactile feedback of a soft-hand exoskeleton intended for hand rehabilitation. A pre-trained neural network is used to recognize the object in fron
Autor:
Matthijs Pals, Rafael J. Perez Belizon, Nicolas Berberich, Stefan K. Ehrlich, John Nassour, Gordon Cheng
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Accurate and low-power decoding of brain signals such as electroencephalography (EEG) is key to constructing brain-computer interface (BCI) based wearable devices. While deep learning approaches have progressed substantially in terms of decoding accu
Publikováno v:
2021 20th International Conference on Advanced Robotics (ICAR).