Stable Electromyographic Sequence Prediction During Movement Transitions using Temporal Convolutional Networks

arXiv: Computer Vision and Pattern Recognition, Volume abs/1901.02442, 2019, Pages 1046-1049.

Cited by: 0|Bibtex|Views88|DOI:https://doi.org/10.1109/NER.2019.8717169
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Transient muscle movements influence the temporal structure of myoelectric signal patterns, often leading to unstable prediction behavior from movement-pattern classification methods. We show that temporal convolutional network sequential models leverage the myoelectric signalu0027s history to discover contextual temporal features that ai...More

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