Few-Shot Learning for Decoding Surface Electromyography for Hand Gesture Recognition

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1300 - 1304
• Main Authors: Rahimian, Elahe, Zabihi, Soheil, Asif, Amir, Atashzar, S. Farokh, Mohammadi, Arash
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2021
• Subjects: Attention Mechanism; Decoding; Electric potential; Electromyography; Few-Shot Learning (FSL); Gesture recognition; Meta-Learning; Neural networks; sEMG; Supervised learning; Temporal Convolution; Training

This work is motivated by the recent advancements of Deep Neural Networks (DNNs) for myoelectric prosthesis control. In this regard, hand gesture recognition via surface Electromyogram (sEMG) signals has shown a high potential for improving the performance of myoelectric control prostheses. Although...