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Deep Learning in Gesture Recognition Based on sEMG Signals Host Publication: Learning Approaches in Signal Processing Authors: P. Tsinganos, A. Skodras, B. Cornelis and B. Jansen Publisher: Pan Stanford Publishing Publication Year: 2018 Number of Pages: 26 ISBN: 9780429590320
Abstract: Over the past years, Deep Learning methods have shown promising results to a wide range of research ?elds including image classi?cation and natural language processing. Their increased success rates have drawn the attention of many researchers from various domains. This chapter investigates the application of Deep Learning methods to the problem of electromyography-based gesture recognition. A signal processing pipeline based on Deep Learning is presented through examples taken from the literature, whereas the details of state-of-the-art neural network architectures are discussed. In addition, this chapter illustrates a few ways adopted from image classi?cation tasks that visualize what the neural network learns. Finally, new approaches are proposed and evaluated with publicly available datasets.
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