[Retracted] Falling-Point Recognition and Scoring Algorithm in Table Tennis Using Dual-Channel Target Motion Detection

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Training samples</td><td class="align_center">Average recognition rate</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Original</td><td class="align_center">61.85</td></tr><tr><td class="align_left">Sobel</td><td class="align_center">65.98</td></tr><tr><td class="align_left">Dual-channel</td><td class="align_center"><b>77.42</b></td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Ablation experiment (higher is better).</div>

Journal of Healthcare Engineering

tab3

Table 3

Table 3: [Retracted] Falling-Point Recognition and Scoring Algorithm in Table Tennis Using Dual-Channel Target Motion Detection 