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cs.HC2025
Context Informed Incremental Learning Improves Myoelectric Control Performance in Virtual Reality Object Manipulation Tasks
Gabriel Gagné, Anisha Azad, Thomas Labbé +5
Electromyography (EMG)-based gesture recognition is a promising approach for designing intuitive human-computer interfaces. However, while these systems typically perform well in c…
cs.HC2024
On-Demand Myoelectric Control Using Wake Gestures to Eliminate False Activations During Activities of Daily Living
Ethan Eddy, Evan Campbell, Scott Bateman +1
While myoelectric control has recently become a focus of increased research as a possible flexible hands-free input modality, current control approaches are prone to inadvertent fa…