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Deep Heterogeneous Dilation of LSTM for Transient-phase Gesture Prediction through High-density Electromyography: Towards Application in Neurorobotics

2021-10-28

Abstract excerpt

Deep networks have been recently proposed to estimate motor intention using conventional bipolar surface electromyography (sEMG) signals for myoelectric control of neurorobots. In this regard, Deepnets are generally challenged by long training times (affecting practicality and calibration), complex model architectures (affecting the predictability of the outcomes), and a large number of trainable parameters (incre...

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Literature Corpus work
a1f1a5bf-f260-515b-8343-451e68b58be4
DOI
10.1101/2021.10.26.466039
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Deep Heterogeneous Dilation of LSTM for Transient-phase Gesture Prediction through High-density Electromyography: Towards Application in NeuroroboticsDOI 10.1101/2021.10.26.466039
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