A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 29; pp. 546 - 555
• Main Authors: Cote-Allard, Ulysse, Gagnon-Turcotte, Gabriel, Phinyomark, Angkoon, Glette, Kyrre, Scheme, Erik, Laviolette, Francois, Gosselin, Benoit
• Format: Journal Article
• Language: English
• Published: United States IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Benchmarks; Computer applications; Control methods; Controllers; Datasets; Electromyography; EMG; Gesture recognition; Heuristic algorithms; leap motion; myoelectric control; Neural networks; Permutations; Protocols; Real time; Real-time systems; Recording; Three-dimensional displays; transfer learning; Virtual reality

Within the field of electromyography-based (EMG) gesture recognition, disparities exist between the off line accuracy reported in the literature and the real-time usability of a classifier. This gap mainly stems from two factors: 1) The absence of a controller, making the data collected dissimilar t...