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Thomas Labbe
Erik Scheme
Benoit Gosselin

Showing results (41-50 of 139) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Feature Learning Networks for Floor Sensor-based Gait RecognitionAla Salehi, Alex Roberts, Angkoon Phinyomark, et al.
Journal of Neural Engineering|May 9, 2024
Understanding the influence of confounding factors in myoelectric control for discrete gesture recognitionEthan Eddy, Evan Campbell, Scott Bateman, et al.
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|July 11, 2025
A Qualitative Exploration of EMG Visual Feedback for Spinal Cord Injury RehabilitationJanelle Aikens, Aaron Tabor, Kevin Englehart, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|May 5, 2025
Context-Informed Incremental Learning Improves Throughput and Reduces Drift in Regression-Based Myoelectric ControlChristian Morrell, Evan Campbell, Ethan Eddy, et al.
Frontiers in Bioengineering and Biotechnology|October 9, 2024
Big data in myoelectric control: large multi-user models enable robust zero-shot EMG-based discrete gesture recognitionEthan Eddy, Evan Campbell, Scott Bateman, et al.
Journal of Neural Engineering|July 30, 2024
Comparing online wrist and forearm EMG-based control using a rhythm game-inspired evaluation environmentRobyn Meredith, Ethan Eddy, Scott Bateman, et al.
Journal of Neural Engineering|January 2, 2025
EMG-based wake gestures eliminate false activations during out-of-set activities of daily living: an online myoelectric control studyEthan Eddy, Evan Campbell, Scott Bateman, et al.
Journal of Neural Engineering|March 9, 2019
Regression convolutional neural network for improved simultaneous EMG controlAli Ameri, Mohammad Ali Akhaee, Erik Scheme, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 28, 2019
A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based ControlAli Ameri, Mohammad Ali Akhaee, Erik Scheme, et al.
Plos One|September 14, 2018
Real-time, simultaneous myoelectric control using a convolutional neural networkAli Ameri, Mohammad Ali Akhaee, Erik Scheme, et al.
Pageof 14

Showing results (41-50 of 139) with videos related to

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Pageof 14
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Feature Learning Networks for Floor Sensor-based Gait RecognitionAla Salehi, Alex Roberts, Angkoon Phinyomark, et al.
Journal of Neural Engineering|May 9, 2024
Understanding the influence of confounding factors in myoelectric control for discrete gesture recognitionEthan Eddy, Evan Campbell, Scott Bateman, et al.
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|July 11, 2025
A Qualitative Exploration of EMG Visual Feedback for Spinal Cord Injury RehabilitationJanelle Aikens, Aaron Tabor, Kevin Englehart, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|May 5, 2025
Context-Informed Incremental Learning Improves Throughput and Reduces Drift in Regression-Based Myoelectric ControlChristian Morrell, Evan Campbell, Ethan Eddy, et al.
Frontiers in Bioengineering and Biotechnology|October 9, 2024
Big data in myoelectric control: large multi-user models enable robust zero-shot EMG-based discrete gesture recognitionEthan Eddy, Evan Campbell, Scott Bateman, et al.
Journal of Neural Engineering|July 30, 2024
Comparing online wrist and forearm EMG-based control using a rhythm game-inspired evaluation environmentRobyn Meredith, Ethan Eddy, Scott Bateman, et al.
Journal of Neural Engineering|January 2, 2025
EMG-based wake gestures eliminate false activations during out-of-set activities of daily living: an online myoelectric control studyEthan Eddy, Evan Campbell, Scott Bateman, et al.
Journal of Neural Engineering|March 9, 2019
Regression convolutional neural network for improved simultaneous EMG controlAli Ameri, Mohammad Ali Akhaee, Erik Scheme, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 28, 2019
A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based ControlAli Ameri, Mohammad Ali Akhaee, Erik Scheme, et al.
Plos One|September 14, 2018
Real-time, simultaneous myoelectric control using a convolutional neural networkAli Ameri, Mohammad Ali Akhaee, Erik Scheme, et al.
Pageof 14