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Evan Campbell

Showing results (1-10 of 28) 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|April 17, 2026
Transformer-Based Context Informed Incremental Learning with sDTW Alignment Unlocks Fast and Precise Regression-Based Myoelectric ControlEvan Campbell, Ethan Eddy, Erik Scheme
Frontiers in Neuroscience|May 29, 2019
Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological SignalsEvan Campbell, Angkoon Phinyomark, Erik Scheme
Sensors (Basel, Switzerland)|March 19, 2020
Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction IntensityEvan Campbell, Angkoon Phinyomark, Erik Scheme
Frontiers in Neuroscience|June 10, 2021
Deep Cross-User Models Reduce the Training Burden in Myoelectric ControlEvan Campbell, Angkoon Phinyomark, Erik Scheme
Multiple Sclerosis and Related Disorders|June 25, 2018
High intensity interval training for people with multiple sclerosis: A systematic reviewEvan Campbell, Elaine H Coulter, Lorna Paul
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Feasibility of Data-driven EMG Signal Generation using a Deep Generative ModelEvan Campbell, James A D Cameron, Erik Scheme
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 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|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.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 17, 2026
Transformer-Based Context Informed Incremental Learning with sDTW Alignment Unlocks Fast and Precise Regression-Based Myoelectric ControlEvan Campbell, Ethan Eddy, Erik Scheme
Frontiers in Neuroscience|May 29, 2019
Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological SignalsEvan Campbell, Angkoon Phinyomark, Erik Scheme
Sensors (Basel, Switzerland)|March 19, 2020
Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction IntensityEvan Campbell, Angkoon Phinyomark, Erik Scheme
Frontiers in Neuroscience|June 10, 2021
Deep Cross-User Models Reduce the Training Burden in Myoelectric ControlEvan Campbell, Angkoon Phinyomark, Erik Scheme
Multiple Sclerosis and Related Disorders|June 25, 2018
High intensity interval training for people with multiple sclerosis: A systematic reviewEvan Campbell, Elaine H Coulter, Lorna Paul
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Feasibility of Data-driven EMG Signal Generation using a Deep Generative ModelEvan Campbell, James A D Cameron, Erik Scheme
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 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|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.
Pageof 3