Expression Recognition Method Using Improved VGG16 Network Model in Robot Interaction

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Network structure</td><td class="align_center" colspan="4"><span style="width: 115.447ptpx;"><svg height="11.576pt" id="M1" style="vertical-align:-2.2681pt" version="1.1" viewbox="-0.0498162 -9.3079 115.447 11.576" width="115.447pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M493 503C489 551 484 614 483 650H43V622C120 616 128 611 128 525V126C128 40 120 34 40 28V0H312V28C221 34 213 40 213 126V307H316C407 307 412 296 424 227H453V420H424C412 355 407 346 316 346H213V584C213 613 216 616 246 616H322C398 616 419 607 436 579C449 559 455 539 464 499L493 503Z"></path></g><g transform="matrix(.013,0,0,-0.013,6.629,0)"><path d="M380 106C343 72 306 56 265 56C195 56 116 112 115 248C235 252 361 262 377 265C396 269 400 277 400 297C400 374 333 449 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635 194 635ZM193 605C257 605 265 504 265 453C265 405 257 302 194 302C133 302 122 403 122 454S133 605 193 605ZM567 351C465 351 421 250 421 169C421 90 465 -12 566 -12S710 90 710 170S667 351 567 351ZM566 322C628 322 637 221 637 169C637 121 628 18 567 18S494 119 494 170C494 223 506 322 566 322Z"></path></g><g transform="matrix(.013,0,0,-0.013,110.815,0)"><path d="M275 270C275 450 212 609 64 710L45 686C145 604 203 442 203 270S147 -63 45 -147L64 -170C213 -68 275 89 275 270Z"></path></g></svg></span></td></tr><tr class="thead"><td class="align_center">64</td><td class="align_center">256</td><td class="align_center">512</td><td class="align_center">1024</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">VGG16</td><td class="align_center">86.73</td><td class="align_center">85.94</td><td class="align_center">81.59</td><td class="align_center">73.28</td></tr><tr><td class="align_left">Improved VGG16</td><td class="align_center">90.51</td><td class="align_center">89.27</td><td class="align_center">85.12</td><td class="align_center">80.35</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Recognition accuracy of different feature dimensions.</div>

Journal of Robotics

tab1

Table 1

Table 1: Expression Recognition Method Using Improved VGG16 Network Model in Robot Interaction 