EC
Evan Campbell
ElectromyographyelectromyographyGesturesEMGgesture recognitionMachine Learningmyoelectric controlcross-usercs.HCcs.SY
On Valency
published · living versionsW_p74z7c9d·v1 · currentpublished
Comparing Temporal Deep Learning Architectures for Discrete Cross-User Myoelectric Control
with Ethan Eddy, Scott Bateman, Erik Scheme
1 version
Preprints & journals
19 papers in the corpus · 2019–2026Transformer-Based Context-Informed Incremental Learning With sDTW Alignment Unlocks Fast and Precise Regression-Based Myoelectric Control.41996427 · Campbell, Evan, Eddy, Ethan, Scheme, Erik2026 · 1 citationIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2026;34:2118-2129
Context Informed Incremental Learning Improves Myoelectric Control Performance in Virtual Reality Object Manipulation Tasks.41336042 · Gagne, Gabriel, Azad, Anisha, Labbe, Thomas et al.2025 · 0 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2025;2025:1-5
The Fifth Main Dynamic Factor: Skin Temperature and Its Effects on EMG-Based Gesture Recognition.41336373 · Michaud, Etienne, Isabel, Xavier, Campbell, Evan et al.2025 · 0 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2025;2025:1-6
EMG-based wake gestures eliminate false activations during out-of-set activities of daily living: an online myoelectric control study.39746322 · Eddy, Ethan, Campbell, Evan, Bateman, Scott et al.2025 · 9 citationsJournal of neural engineering. 2025;22(1)
Context-Informed Incremental Learning Improves Throughput and Reduces Drift in Regression-Based Myoelectric Control.40323757 · Morrell, Christian, Campbell, Evan, Eddy, Ethan et al.2025 · 1 citationIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2025;33:1841-1852
(Un)supervised (Co)adaptation via Incremental Learning for Myoelectric Control: Motivation, Review, and Future Directions.40853816 · Campbell, Evan, Egle, Fabio, OsWald, Marius et al.2025 · 10 citationsIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2025;33:3565-3582
Screen Guided Training Does Not Capture Goal-Oriented Behaviours: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental Learning.40030708 · Campbell, Evan, Eddy, Ethan, Isabel, Xavier et al.2025 · 7 citationsIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2024;PP
Big data in myoelectric control: large multi-user models enable robust zero-shot EMG-based discrete gesture recognition.39380895 · Eddy, Ethan, Campbell, Evan, Bateman, Scott et al.2026 · 22 citationsFrontiers in bioengineering and biotechnology. 2024;12:1463377
BioPoint: Enhancing Human-Computer Interaction through Single-Site, Multi-Sensor Gesture Recognition.40039968 · Isabel, Xavier, Campbell, Evan, Olivier, Loic et al.2025 · 4 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2024;2024:1-6
Understanding the influence of confounding factors in myoelectric control for discrete gesture recognition.38722304 · Eddy, Ethan, Campbell, Evan, Bateman, Scott et al.2024 · 23 citationsJournal of neural engineering. 2024;21(3)
Context-informed incremental learning improves both the performance and resilience of myoelectric control.38702813 · Campbell, Evan, Eddy, Ethan, Bateman, Scott et al.2024 · 20 citationsJournal of neuroengineering and rehabilitation. 2024;21(1):70
Generalizing Upper Limb Force Modeling With Transfer Learning: A Multimodal Approach Using EMG and IMU for New Users and Conditions.38194392 · Hajian, Gelareh, Campbell, Evan, Ansari, Mahdi et al.2024 · 18 citationsIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 2024;32:391-400
Novel Wearable HD-EMG Sensor With Shift-Robust Gesture Recognition Using Deep Learning.37695958 · Chamberland, Felix, Buteau, Etienne, Tam, Simon et al.2023 · 56 citationsIEEE transactions on biomedical circuits and systems. 2023;17(5):968-984
Deep Cross-User Models Reduce the Training Burden in Myoelectric Control.34108858 · Campbell, Evan, Phinyomark, Angkoon, Scheme, Erik2021 · 50 citationsFrontiers in neuroscience. 2021;15:657958
Feasibility of Data-driven EMG Signal Generation using a Deep Generative Model.33018818 · Campbell, Evan, Cameron, James A D, Scheme, Erik2020 · 20 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2020;2020:3755-3758
Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction Intensity.32183215 · Campbell, Evan, Phinyomark, Angkoon, Scheme, Erik2020 · 140 citationsSensors (Basel, Switzerland). 2020;20(6)
A Comparison of Amputee and Able-Bodied Inter-Subject Variability in Myoelectric Control2003.03481v1 · Evan Campbell, Jason Chang, Angkoon Phinyomark et al.2020 · 13 citations2020: MEC20
Differences in Perspective on Inertial Measurement Unit Sensor Integration in Myoelectric Control2003.03424v1 · Evan Campbell, Angkoon Phinyomark, Erik Scheme2020 · 3 citations2020: MEC20
Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals.31133782 · Campbell, Evan, Phinyomark, Angkoon, Scheme, Erik2020 · 58 citationsFrontiers in neuroscience. 2019;13:437
Career total: 35 works. 19 are in this corpus.
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