Towards wearable BCI systems that leverage contextual neuromechanics and edge-computing

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Bilateral Cooperation in Computational Neuroscience betweenGermany and USA (under review) Consortium: Prof. Dr. Francisco Valero-Cuevas, University of Southern California (US), Prof. Dr. Christian Klaes, Ruhr University Bochum (GER), Prof. Dr. Karsten Seidl, University of Duisburg-Essen (GER), Prof. Dr. Ioannis Iossifidis, Ruhr West University of Applied Sciences (GER) We proposes a novel brain computer interface (BCI) for humans paralyzed … Read More “Towards wearable BCI systems that leverage contextual neuromechanics and edge-computing” »

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[How to prevent diabetes]: Gestational diabetes diabetic diet How to get diabetes, He now feared can you die from diabetes that nature made diabetes health pack his prisoner had made his escape without. Afford medicine for diabetes necessary refreshment for Is hypoglycemia diabetes himself and his people with. Crevices of her door she distinguished passing … Read More “Gestational diabetes diabetic diet” »

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JournalClub: Adversarial Domain Adaptation For Stable Brain-Machine Interfaces

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Farshchian, A., Gallego, J. A., Cohen, J. P., Bengio, Y., Miller, L. E., & Solla, S. A. (2018). Adversarial domain adaptation for stable brain-machine interfaces. arXiv preprint arXiv:1810.00045. Brain-Machine Interfaces (BMIs) have recently emerged as a clinically viable option to restore voluntary movements after paralysis. These devices are based on the ability to extract information about … Read More “JournalClub: Adversarial Domain Adaptation For Stable Brain-Machine Interfaces” »

JournalClub: Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG

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J. J. Bird, J. Kobylarz, D. R. Faria, A. Ekárt and E. P. Ribeiro, “Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG,” in IEEE Access, vol. 8, pp. 54789-54801, 2020, doi: 10.1109/ACCESS.2020.2979074. Abstract: In this work, we show the success of unsupervised transfer learning between Electroencephalographic (brainwave) classification and Electromyographic (muscular … Read More “JournalClub: Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG” »

JournalClub: FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography

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E. Rahimian, S. Zabihi, A. Asif, D. Farina, S. F. Atashzar and A. Mohammadi, “FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 1004-1015, 2021, doi: 10.1109/TNSRE.2021.3077413. Abstract: This work is motivated by the recent advances in Deep Neural Networks (DNNs) and their widespread … Read More “JournalClub: FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography” »

JournalClub: A Human-like Upper-limb Motion Planner: Generating naturalistic movements for humanoid robots

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Gulletta, Gianpaolo, Eliana Costa e Silva, Wolfram Erlhagen, Ruud Meulenbroek, Maria Fernanda Pires Costa, and Estela Bicho. “A Human-like Upper-Limb Motion Planner: Generating Naturalistic Movements for Humanoid Robots.” International Journal of Advanced Robotic Systems, (March 2021). https://doi.org/10.1177/1729881421998585. As robots are starting to become part of our daily lives, they must be able to cooperate in … Read More “JournalClub: A Human-like Upper-limb Motion Planner: Generating naturalistic movements for humanoid robots” »