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Vinicius Horn Cene

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 21, 2020
Resilient EMG Classification to Enable Reliable Upper-Limb Movement Intent DetectionVinicius Horn Cene, Alexandre Balbinot
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Smoothed arg max Extreme Learning Machine: An Alternative to Avoid Classification Ripple in sEMG SignalsVinicius Horn Cene, Juliano Machado, Alexandre Balbinot
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Using Antonyan Vardan Transform and Extreme Learning Machines for Accurate sEMG Signal ClassificationVinicius Horn Cene, Raphael Ruschel Dos Santos, Alexandre Balbinot
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Reever control: A biosignal controlled interfaceVinicius Horn Cene, Gabriela Favieiro, Luciana Nedel, et al.
Sensors (Basel, Switzerland)|April 21, 2019
Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning MachinesVinicius Horn Cene, Mauricio Tosin, Juliano Machado, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 21, 2020
Resilient EMG Classification to Enable Reliable Upper-Limb Movement Intent DetectionVinicius Horn Cene, Alexandre Balbinot
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Smoothed arg max Extreme Learning Machine: An Alternative to Avoid Classification Ripple in sEMG SignalsVinicius Horn Cene, Juliano Machado, Alexandre Balbinot
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Using Antonyan Vardan Transform and Extreme Learning Machines for Accurate sEMG Signal ClassificationVinicius Horn Cene, Raphael Ruschel Dos Santos, Alexandre Balbinot
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Reever control: A biosignal controlled interfaceVinicius Horn Cene, Gabriela Favieiro, Luciana Nedel, et al.
Sensors (Basel, Switzerland)|April 21, 2019
Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning MachinesVinicius Horn Cene, Mauricio Tosin, Juliano Machado, et al.
Pageof 1