A Hierarchical View Pooling Network for Multichannel Surface Electromyography-Based Gesture Recognition

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left" rowspan="2">Databases</td><td class="align_center" colspan="2">Intrasubject</td><td class="align_center" rowspan="2">Intersubject</td></tr><tr><td class="align_center">Trials for training</td><td class="align_center">Trials for testing</td></tr><tr><td class="align_left" colspan="4"><hr/></td></tr><tr><td class="align_left">NinaPro DB1</td><td class="align_center">1st, 3rd, 4th, 6th, 7th, 8th, 9th</td><td class="align_center">2nd, 5th, 10th</td><td class="align_center">LOSOCV</td></tr><tr><td class="align_left">NinaPro DB2</td><td class="align_center">1st, 3rd, 4th, 6th</td><td class="align_center">2nd, 5th</td><td class="align_center">LOSOCV</td></tr><tr><td class="align_left">NinaPro DB3</td><td class="align_center">1st, 3rd, 4th, 6th</td><td class="align_center">2nd, 5th</td><td class="align_center">LOSOCV</td></tr><tr><td class="align_left">NinaPro DB4</td><td class="align_center">1st, 3rd, 4th, 6th</td><td class="align_center">2nd, 5th</td><td class="align_center">LOSOCV</td></tr><tr><td class="align_left">NinaPro DB5</td><td class="align_center">1st, 3rd, 4th, 6th</td><td class="align_center">2nd, 5th</td><td class="align_center">LOSOCV</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Specifications of the evaluation methodology on different sEMG databases.</div>

Computational Intelligence and Neuroscience

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Table 1

Table 1: A Hierarchical View Pooling Network for Multichannel Surface Electromyography-Based Gesture Recognition 