% Handlabelling data is arranged in 3 columns: handlabeller1 and handlabeller2 indicate the first two experts, handlabeller_final column contains the final, tie-breaking labels. % Labels in these columns are to be interpreted as follows: % - 0 is UNKNOWN % - 1 is FIX (fixation) % - 2 is SACCADE % - 3 is SP (smooth pursuit) % - 4 is NOISE % %@METADATA width_px 1280.0 %@METADATA height_px 720.0 %@METADATA width_mm 400.0 %@METADATA height_mm 225.0 %@METADATA distance_mm 450.0 @RELATION gaze_labels @ATTRIBUTE time INTEGER @ATTRIBUTE x NUMERIC @ATTRIBUTE y NUMERIC @ATTRIBUTE confidence NUMERIC @ATTRIBUTE handlabeller1 INTEGER @ATTRIBUTE handlabeller2 INTEGER @ATTRIBUTE handlabeller_final INTEGER @DATA 2000,503.9,-3.9,1.0,1,1,1 6000,504.0,-3.6,1.0,1,1,1 10000,503.8,-3.9,1.0,1,1,1 14000,504.1,-3.7,1.0,1,1,1 18000,504.3,-3.6,1.0,1,1,1 22000,504.5,-3.0,1.0,1,1,1 26000,504.7,-2.8,1.0,1,1,1 30000,504.6,-2.6,1.0,1,1,1 34000,504.3,-2.9,1.0,1,1,1 35000,504.1,-2.6,1.0,1,1,1 38000,504.2,-2.5,1.0,1,1,1 42000,505.0,-2.4,1.0,1,1,1 46000,505.9,-2.3,1.0,1,1,1 50000,505.9,-2.1,1.0,1,1,1 54000,506.1,-2.0,1.0,1,1,1 68000,506.2,-2.1,1.0,1,1,1 72000,506.0,-2.1,1.0,1,1,1 76000,505.7,-2.2,1.0,1,1,1 80000,505.8,-2.5,1.0,1,1,1 84000,506.2,-2.3,1.0,1,1,1 88000,506.2,-2.1,1.0,1,1,1 101000,506.8,-1.9,1.0,1,1,1 105000,506.3,-1.7,1.0,1,1,1 109000,506.7,-1.2,1.0,1,1,1 113000,506.8,-1.0,1.0,1,1,1 117000,506.9,-0.8,1.0,1,1,1 121000,507.2,-0.6,1.0,1,1,1 125000,507.3,-0.4,1.0,1,1,1 129000,507.4,-0.1,1.0,1,1,1 135000,507.5,0.0,1.0,1,1,1 139000,507.6,0.2,1.0,1,1,1 143000,508.2,0.9,1.0,1,1,1 147000,507.8,0.5,1.0,1,1,1 151000,507.3,0.2,1.0,1,1,1 155000,507.6,0.3,1.0,1,1,1 159000,507.6,0.0,1.0,1,1,1 169000,507.7,0.1,1.0,1,1,1 173000,507.7,0.1,1.0,1,1,1 177000,507.6,-0.2,1.0,1,1,1 181000,507.7,-0.4,1.0,1,1,1 185000,507.7,-0.5,1.0,1,1,1 189000,507.0,-0.6,1.0,1,2,1 200000,506.3,-0.6,1.0,1,2,1 204000,504.8,-0.6,1.0,1,2,1 208000,501.8,22.1,1.0,2,2,2 212000,492.4,68.1,1.0,2,2,2 216000,485.7,140.6,1.0,2,2,2 220000,473.9,224.3,1.0,2,2,2 224000,479.0,288.6,1.0,2,2,2 228000,476.3,321.5,1.0,2,2,2 232000,481.2,336.7,1.0,2,2,2 236000,482.9,336.3,1.0,2,2,2 237000,488.5,336.7,1.0,1,2,1 238000,497.9,336.6,1.0,1,2,1 242000,502.7,338.4,1.0,1,2,1 246000,503.4,349.0,1.0,1,2,1 250000,504.7,363.0,1.0,1,2,1 254000,505.0,367.9,1.0,1,2,1 266000,504.9,370.5,1.0,1,2,1 270000,505.1,372.9,1.0,1,2,1 274000,505.0,373.5,1.0,1,2,1 278000,504.1,374.2,1.0,1,2,1 282000,503.7,378.0,1.0,1,2,1 286000,502.3,378.9,1.0,1,2,1 290000,500.3,381.7,1.0,1,2,1 303000,498.9,385.3,1.0,1,1,1 307000,496.7,386.1,1.0,1,1,1 311000,496.8,388.1,1.0,1,1,1 315000,497.3,392.4,1.0,1,1,1 319000,496.7,393.0,1.0,1,1,1 323000,496.2,393.3,1.0,1,1,1 327000,495.8,395.1,1.0,1,1,1 331000,495.8,396.8,1.0,1,1,1 336000,495.5,395.7,1.0,1,1,1 340000,495.2,394.5,1.0,1,1,1 344000,495.4,393.8,1.0,1,1,1 348000,495.6,393.6,1.0,1,1,1 352000,496.2,393.5,1.0,1,1,1 356000,496.9,393.4,1.0,1,1,1 360000,496.9,393.3,1.0,1,1,1 369000,497.2,393.2,1.0,1,1,1 373000,497.4,392.9,1.0,1,1,1 377000,497.7,393.6,1.0,1,1,1 381000,498.8,394.2,1.0,1,1,1 385000,498.9,394.0,1.0,1,1,1 389000,498.9,393.9,1.0,1,1,1 393000,499.8,393.0,1.0,1,1,1 403000,500.7,392.7,1.0,1,1,1 407000,500.9,392.3,1.0,1,1,1 411000,502.1,391.8,1.0,1,1,1 415000,503.3,391.5,1.0,1,1,1 419000,503.5,391.4,1.0,1,1,1 423000,503.6,390.6,1.0,1,1,1 427000,503.6,390.5,1.0,1,1,1 431000,503.6,390.4,1.0,1,1,1 435000,505.9,389.8,1.0,1,1,1 436000,506.2,389.6,1.0,1,1,1 439000,507.7,389.2,1.0,1,1,1 443000,508.0,389.0,1.0,1,1,1 447000,508.1,387.9,1.0,1,1,1 451000,508.3,386.5,1.0,1,1,1 455000,510.7,384.8,1.0,1,2,1 470000,512.5,385.1,1.0,1,2,1 474000,518.9,384.7,1.0,2,2,2 478000,546.6,381.3,1.0,2,2,2 482000,591.1,374.9,1.0,2,2,2 486000,640.6,367.5,1.0,2,2,2 500000,689.9,361.8,1.0,2,2,2 504000,708.4,360.8,1.0,2,2,2 508000,721.3,362.9,1.0,2,2,2 512000,722.8,370.6,1.0,2,2,2 516000,733.9,372.6,1.0,2,2,2 520000,739.4,373.7,1.0,2,2,2 524000,744.9,374.7,1.0,2,2,2 528000,746.8,374.7,1.0,2,2,2 536000,747.2,374.8,1.0,2,2,2 540000,747.4,374.5,1.0,1,1,1 544000,748.2,374.2,1.0,1,1,1 548000,748.4,373.6,1.0,1,1,1 552000,748.7,373.4,1.0,1,1,1 556000,749.0,373.3,1.0,1,1,1 568000,749.3,373.3,1.0,1,1,1 572000,749.5,373.3,1.0,1,1,1 576000,749.6,373.3,1.0,1,1,1 580000,751.1,373.1,1.0,1,1,1 584000,751.2,373.1,1.0,1,1,1 588000,751.4,373.1,1.0,1,1,1 592000,751.7,373.0,1.0,1,1,1 601000,751.9,372.8,1.0,1,1,1 605000,752.2,372.5,1.0,1,1,1 609000,752.3,372.3,1.0,1,1,1 613000,752.4,372.1,1.0,1,1,1 617000,752.5,372.1,1.0,1,1,1 621000,752.8,372.0,1.0,1,1,1 625000,752.8,372.0,1.0,1,1,1 629000,752.9,371.9,1.0,1,1,1 633000,752.9,371.8,1.0,1,1,1 634000,752.9,372.0,1.0,1,1,1 637000,752.8,371.5,1.0,1,1,1 641000,753.0,371.3,1.0,1,1,1 645000,753.0,371.1,1.0,1,1,1 649000,753.1,371.2,1.0,1,1,1 653000,753.2,371.1,1.0,1,1,1 668000,753.2,371.0,1.0,1,1,1 672000,753.3,370.8,1.0,1,1,1 676000,753.4,370.7,1.0,1,1,1 680000,753.6,370.5,1.0,1,1,1 684000,753.9,370.4,1.0,1,1,1 688000,754.1,371.1,1.0,1,1,1 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1250000,527.9,537.6,1.0,3,1,1 1254000,528.6,532.7,1.0,3,1,1 1258000,528.4,528.4,1.0,3,1,1 1262000,528.9,526.2,1.0,3,1,1 1266000,529.4,523.8,1.0,3,1,1 1270000,529.9,522.4,1.0,3,1,1 1274000,530.5,521.3,1.0,3,1,1 1278000,530.9,520.7,1.0,3,1,1 1282000,531.0,519.0,1.0,3,1,1 1286000,531.1,517.3,1.0,3,1,1 1290000,532.0,516.4,1.0,3,1,1 1294000,532.2,515.6,1.0,3,1,1 1298000,531.9,513.0,1.0,3,1,1 1302000,531.9,511.4,1.0,3,1,1 1306000,531.6,507.1,1.0,3,1,1 1310000,530.8,498.9,1.0,3,1,1 1314000,530.7,495.0,1.0,3,1,1 1318000,530.5,492.5,1.0,3,1,1 1322000,530.4,490.9,1.0,3,1,1 1326000,530.2,489.9,1.0,3,1,1 1330000,530.2,488.9,1.0,3,1,1 1334000,530.4,489.3,1.0,3,1,1 1338000,530.5,489.8,1.0,3,1,1 1342000,530.6,489.6,1.0,3,1,1 1346000,530.7,490.0,1.0,1,1,1 1350000,530.7,489.7,1.0,1,1,1 1354000,530.8,490.8,1.0,1,1,1 1358000,530.6,490.8,1.0,1,1,1 1362000,530.2,490.8,1.0,1,1,1 1366000,530.4,492.4,1.0,1,1,1 1371000,529.5,492.1,1.0,1,1,1 1375000,529.6,493.7,1.0,1,1,1 1379000,529.5,493.8,1.0,1,1,1 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