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Erik Scheme

Showing results (31-40 of 69) with videos related to

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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.
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.
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 7

Showing results (31-40 of 69) with videos related to

Sort By:
Pageof 7
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.
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.
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 7