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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
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
Comparison of Feedback Approaches to Improve Training in Partial Weight-BearingIan Smith, Satinder Gill, 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|October 6, 2020
Wearable EMG-Based Gesture Recognition Systems During Activities of Daily Living: An Exploratory StudyJason Chang, Angkoon Phinyomark, 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|October 6, 2020
Feasibility of Data-driven EMG Signal Generation using a Deep Generative ModelEvan Campbell, James A D Cameron, Erik Scheme
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|January 9, 2024
Generalizing Upper Limb Force Modeling With Transfer Learning: A Multimodal Approach Using EMG and IMU for New Users and ConditionsGelareh Hajian, Evan Campbell, Mahdi Ansari, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 25, 2025
(Un)supervised (Co)adaptation via Incremental Learning for Myoelectric Control: Motivation, Review, and Future DirectionsEvan Campbell, Fabio Egle, Marius Osswald, et al.
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
BioPoint: Enhancing Human-Computer Interaction through Single-Site, Multi-Sensor Gesture RecognitionXavier Isabel, Evan Campbell, Loic Olivier, 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.
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