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Thomas Labbe
Erik Scheme
Benoit Gosselin

Showing results (1-10 of 139) with videos related to

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 25, 2025
Investigating Feedback-Informed Screen-Guided Training to Enhance Myoelectric Control and PredictabilityThomas Labbe, Erik Scheme, Benoit Gosselin
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Visual Scene Understanding for Enhanced EMG Gesture RecognitionFelix Chamberland, Thomas Labbe, Simon Tam, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Context Informed Incremental Learning Improves Myoelectric Control Performance in Virtual Reality Object Manipulation TasksGabriel Gagne, Anisha Azad, Thomas Labbe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Towards Next-Generation Myoelectric Prostheses: 3D-Printed Electrode Arrays for Gesture RecognitionJonathan Levesque, Felix Chamberland, Erik Scheme, et al.
IEEE Transactions on Bio-Medical Engineering|March 3, 2025
Advancing Myoelectric Prostheses: Efficacy of Gold-Plated 3D-Printed Thermoplastic Dry ElectrodesJonathan Levesque, Felix Chamberland, Erik Scheme, et al.
Frontiers in Bioengineering and Biotechnology|March 21, 2020
Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted FeaturesUlysse Côté-Allard, Evan Campbell, Angkoon Phinyomark, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2025
Screen Guided Training Does Not Capture Goal-Oriented Behaviours: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental LearningEvan Campbell, Ethan Eddy, Xavier Isabel, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 16, 2021
A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture RecognitionUlysse Cote-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, et al.
IEEE Transactions on Biomedical Circuits and Systems|September 11, 2023
Novel Wearable HD-EMG Sensor With Shift-Robust Gesture Recognition Using Deep LearningFelix Chamberland, Etienne Buteau, Simon Tam, et al.
Journal of Rehabilitation Research and Development|September 23, 2011
Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical useErik Scheme, Kevin Englehart
Pageof 14

Showing results (1-10 of 139) with videos related to

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Pageof 14
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 25, 2025
Investigating Feedback-Informed Screen-Guided Training to Enhance Myoelectric Control and PredictabilityThomas Labbe, Erik Scheme, Benoit Gosselin
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Visual Scene Understanding for Enhanced EMG Gesture RecognitionFelix Chamberland, Thomas Labbe, Simon Tam, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Context Informed Incremental Learning Improves Myoelectric Control Performance in Virtual Reality Object Manipulation TasksGabriel Gagne, Anisha Azad, Thomas Labbe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Towards Next-Generation Myoelectric Prostheses: 3D-Printed Electrode Arrays for Gesture RecognitionJonathan Levesque, Felix Chamberland, Erik Scheme, et al.
IEEE Transactions on Bio-Medical Engineering|March 3, 2025
Advancing Myoelectric Prostheses: Efficacy of Gold-Plated 3D-Printed Thermoplastic Dry ElectrodesJonathan Levesque, Felix Chamberland, Erik Scheme, et al.
Frontiers in Bioengineering and Biotechnology|March 21, 2020
Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted FeaturesUlysse Côté-Allard, Evan Campbell, Angkoon Phinyomark, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2025
Screen Guided Training Does Not Capture Goal-Oriented Behaviours: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental LearningEvan Campbell, Ethan Eddy, Xavier Isabel, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 16, 2021
A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture RecognitionUlysse Cote-Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, et al.
IEEE Transactions on Biomedical Circuits and Systems|September 11, 2023
Novel Wearable HD-EMG Sensor With Shift-Robust Gesture Recognition Using Deep LearningFelix Chamberland, Etienne Buteau, Simon Tam, et al.
Journal of Rehabilitation Research and Development|September 23, 2011
Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical useErik Scheme, Kevin Englehart
Pageof 14