Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition

Surface electromyography (sEMG) provides an intuitive and non-invasive interface from which to control machines. However, preserving the myoelectric control system's performance over multiple days is challenging, due to the transient nature of the signals obtained with this recording technique....

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.177941-177955
Hauptverfasser:	Cote-Allard, Ulysse, Gagnon-Turcotte, Gabriel, Phinyomark, Angkoon, Glette, Kyrre, Scheme, Erik J., Laviolette, Francois, Gosselin, Benoit
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Calibration Clustering algorithms Computer architecture Control methods Datasets domain adaptation domain adversarial Domains Electrodes Electromyography EMG Gesture recognition Heuristic algorithms Machine learning Myoelectric control Myoelectricity Neural networks Real-time systems Recording Self calibration Spectrograms Training
Online-Zugang:	Volltext
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