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Manfredo Atzori

Showing results (1-10 of 64) with videos related to

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Frontiers in Neurorobotics|September 26, 2019
PaWFE: Fast Signal Feature Extraction Using Parallel Time WindowsManfredo Atzori, Henning Müller
Frontiers in Systems Neuroscience|December 10, 2015
Control Capabilities of Myoelectric Robotic Prostheses by Hand Amputees: A Scientific Research and Market OverviewManfredo Atzori, Henning Müller
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
The Ninapro database: A resource for sEMG naturally controlled robotic hand prostheticsManfredo Atzori, Henning Muller
Frontiers in Neuroscience|December 17, 2024
Toward improving reproducibility in neuroimaging deep learning studiesFederico Del Pup, Manfredo Atzori
Scientific Reports|January 19, 2023
Semantic wikis as flexible database interfaces for biomedical applicationsMarco Falda, Manfredo Atzori, Maurizio Corbetta
Journal of Rehabilitation and Assistive Technologies Engineering|June 14, 2019
Head-mounted eye gaze tracking devices: An overview of modern devices and recent advancesMatteo Cognolato, Manfredo Atzori, Henning Müller
Frontiers in Neurorobotics|September 23, 2016
Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic HandsManfredo Atzori, Matteo Cognolato, Henning Müller
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|November 5, 2013
Recognition of hand movements in a trans-radial amputated subject by sEMGManfredo Atzori, Henning Muller, Micheal Baechler
Frontiers in Artificial Intelligence|February 11, 2022
Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of GraspingMatteo Cognolato, Manfredo Atzori, Roger Gassert, et al.
Computer Methods and Programs in Biomedicine|April 24, 2024
RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challengeMarek Wodzinski, Niccolò Marini, Manfredo Atzori, et al.
Pageof 7

Showing results (1-10 of 64) with videos related to

Sort By:
Pageof 7
Frontiers in Neurorobotics|September 26, 2019
PaWFE: Fast Signal Feature Extraction Using Parallel Time WindowsManfredo Atzori, Henning Müller
Frontiers in Systems Neuroscience|December 10, 2015
Control Capabilities of Myoelectric Robotic Prostheses by Hand Amputees: A Scientific Research and Market OverviewManfredo Atzori, Henning Müller
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
The Ninapro database: A resource for sEMG naturally controlled robotic hand prostheticsManfredo Atzori, Henning Muller
Frontiers in Neuroscience|December 17, 2024
Toward improving reproducibility in neuroimaging deep learning studiesFederico Del Pup, Manfredo Atzori
Scientific Reports|January 19, 2023
Semantic wikis as flexible database interfaces for biomedical applicationsMarco Falda, Manfredo Atzori, Maurizio Corbetta
Journal of Rehabilitation and Assistive Technologies Engineering|June 14, 2019
Head-mounted eye gaze tracking devices: An overview of modern devices and recent advancesMatteo Cognolato, Manfredo Atzori, Henning Müller
Frontiers in Neurorobotics|September 23, 2016
Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic HandsManfredo Atzori, Matteo Cognolato, Henning Müller
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|November 5, 2013
Recognition of hand movements in a trans-radial amputated subject by sEMGManfredo Atzori, Henning Muller, Micheal Baechler
Frontiers in Artificial Intelligence|February 11, 2022
Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of GraspingMatteo Cognolato, Manfredo Atzori, Roger Gassert, et al.
Computer Methods and Programs in Biomedicine|April 24, 2024
RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challengeMarek Wodzinski, Niccolò Marini, Manfredo Atzori, et al.
Pageof 7