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Evaluation model of cognitive distraction state based on eye-tracking data using neural networks.

, , , , and . ICCI*CC, page 428-434. IEEE Computer Society, (2013)

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Estimation of Drivers ' Awareness of Pedestrians., , , and . ICCI*CC, page 381-386. IEEE Computer Society, (2018)Evaluation model of cognitive distraction state based on eye-tracking data using neural networks., , , , and . ICCI*CC, page 428-434. IEEE Computer Society, (2013)Effects of nonvisual secondary tasks on driver's gazing behavior for pedestrians., and . ICCI*CC, page 281-288. IEEE Computer Society, (2014)Common-sense approach to avoiding near-miss incidents of pedestrians suddenly crossing narrow roads., , and . IEEE ICCI*CC, page 335-340. IEEE Computer Society, (2017)Study of Car Driver's Judgment Affordance on a Narrow Crossing Road., , and . ICCI*CC, page 366-372. IEEE Computer Society, (2018)Extracting rules to detect cognitive distractions through driving simulation., , , , and . ILP (Late Breaking Papers), volume 1636 of CEUR Workshop Proceedings, page 79-85. CEUR-WS.org, (2015)Influence of Nonvisual Secondary Tasks on Driver's Pedestrian Detection., and . Int. J. Cogn. Informatics Nat. Intell., 9 (4): 21-32 (2015)Analysis of driver's visual attention using near-miss incidents., and . IEEE ICCI*CC, page 353-360. IEEE Computer Society, (2017)Detecting driver's visual attention area by using vehicle-mounted device., , , and . IEEE ICCI*CC, page 346-352. IEEE Computer Society, (2017)Considering eye movement type when applying random forest to detect cognitive distraction., , , and . ICCI*CC, page 377-382. IEEE Computer Society, (2016)