Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/cin/volume-2016/9354760/figures/9354760.fig.003a.svgz" name="9354760.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Overlapping objects over time</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/cin/volume-2016/9354760/figures/9354760.fig.003b.svgz" name="9354760.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Overlapping AOIs over time</td></tr></table>

<div>Overlapping objects and defined AOIs over time: the AOIs are designed slightly larger than the objects themselves to accommodate the visual angle error. The overlapping areas are denoted as <svg height="11.9479pt" id="M9" style="vertical-align:-3.181499pt" version="1.1" viewbox="-0.0498162 -8.7664 18.6663 11.9479" width="18.6663pt" 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="M409 504C401 567 396 607 392 642C354 654 312 665 266 665C137 665 60 583 60 487C60 374 161 325 225 290C300 250 355 215 355 141C355 68 311 21 235 21C131 21 86 122 71 183L41 176C48 128 61 42 68 21C78 16 93 8 118 0C142 -7 175 -15 216 -15C349 -15 438 69 438 174C438 287 344 333 265 374C186 414 138 449 138 522C138 576 172 631 249 631C336 631 363 562 380 499L409 504Z" id="g121-81"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="474" vert-adv-y="474"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,6.162,3.132)"><path d="M682 0V33C615 38 603 49 571 134C507 305 441 494 378 665L343 655L136 136C101 48 86 41 22 33V0H246V33C170 41 161 50 183 112C196 152 209 192 224 232H441C461 176 478 126 493 87C504 49 499 41 433 33V0H682ZM425 279H242C273 363 303 448 335 533H337L425 279Z" id="g58-63"></path><glyph.data ascent="1007" descent="-369" horiz-adv-x="703" vert-adv-y="703"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,12.559,3.132)"><path d="M384 354C435 370 515 408 515 502C515 549 494 593 459 616C426 639 384 650 308 650H45V618C127 613 130 606 130 524V127C130 45 125 38 37 33V0H262C342 0 409 12 461 40C521 73 558 124 558 192C558 295 481 336 384 352V354ZM217 365V556C217 587 221 597 229 604C238 611 261 615 288 615C382 615 421 558 421 490C421 406 374 365 266 365H217ZM217 327H264C384 327 457 284 457 183C457 80 383 38 301 38C235 38 217 55 217 127V327Z" id="g58-64"></path><glyph.data ascent="1007" descent="-369" horiz-adv-x="598" vert-adv-y="598"></glyph.data></g></svg> and <svg height="11.9479pt" id="M10" style="vertical-align:-3.181499pt" version="1.1" viewbox="-0.0498162 -8.7664 24.6341 11.9479" width="24.6341pt" 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="M409 504C401 567 396 607 392 642C354 654 312 665 266 665C137 665 60 583 60 487C60 374 161 325 225 290C300 250 355 215 355 141C355 68 311 21 235 21C131 21 86 122 71 183L41 176C48 128 61 42 68 21C78 16 93 8 118 0C142 -7 175 -15 216 -15C349 -15 438 69 438 174C438 287 344 333 265 374C186 414 138 449 138 522C138 576 172 631 249 631C336 631 363 562 380 499L409 504Z" id="g121-81"></path><glyph.data ascent="989" descent="-360" horiz-adv-x="474" vert-adv-y="474"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,6.162,3.132)"><path d="M682 0V33C615 38 603 49 571 134C507 305 441 494 378 665L343 655L136 136C101 48 86 41 22 33V0H246V33C170 41 161 50 183 112C196 152 209 192 224 232H441C461 176 478 126 493 87C504 49 499 41 433 33V0H682ZM425 279H242C273 363 303 448 335 533H337L425 279Z" id="g58-63"></path><glyph.data ascent="1007" descent="-369" horiz-adv-x="703" vert-adv-y="703"></glyph.data></g><g transform="matrix(.0065,0,0,-0.0065,12.559,-.065)"><path d="M323 549L316 585C302 600 218 636 190 624L84 81L142 54L323 549Z" id="g176-31"></path><glyph.data ascent="3439" descent="-2858" horiz-adv-x="381" vert-adv-y="381"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,15.543,3.132)"><path d="M384 354C435 370 515 408 515 502C515 549 494 593 459 616C426 639 384 650 308 650H45V618C127 613 130 606 130 524V127C130 45 125 38 37 33V0H262C342 0 409 12 461 40C521 73 558 124 558 192C558 295 481 336 384 352V354ZM217 365V556C217 587 221 597 229 604C238 611 261 615 288 615C382 615 421 558 421 490C421 406 374 365 266 365H217ZM217 327H264C384 327 457 284 457 183C457 80 383 38 301 38C235 38 217 55 217 127V327Z" id="g58-64"></path><glyph.data ascent="1007" descent="-369" horiz-adv-x="598" vert-adv-y="598"></glyph.data></g><g transform="matrix(.0065,0,0,-0.0065,20.985,-.065)"><path d="M323 549L316 585C302 600 218 636 190 624L84 81L142 54L323 549Z" id="g176-31"></path><glyph.data ascent="3439" descent="-2858" horiz-adv-x="381" vert-adv-y="381"></glyph.data></g></svg>.</div>

Computational Intelligence and Neuroscience

fig3

Figure 3

Figure 3: Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects 