A Deep Learning Method for Intelligent Analysis of Sports Training Postures

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">CS (%)</td><td class="align_center">SS (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Single-scale time convolution</td><td class="align_center">84.61</td><td class="align_center">86.18</td></tr><tr><td class="align_left">Multiscale time convolution (proposed)</td><td class="align_center">86.47</td><td class="align_center">88.25</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Effectiveness comparison of multiscale time convolution.</div>

Computational Intelligence and Neuroscience

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Table 3

Table 3: A Deep Learning Method for Intelligent Analysis of Sports Training Postures 