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This paper proposes a non-contact videometric measurement method for studying the three-dimensional trajectories of the driver\u2019s eyes based on stereo vision. The feasibility of this method is demonstrated by dynamic calibration. A high-speed dual-camera image acquisition system is used to obtain high-definition images of the face, and the relative trajectories between the eyes and the display are obtained by a set of robust algorithms. The trajectories of the eyes in three-dimensional space are then reconstructed during the vehicle driving process. This new approach provides three-dimensional information and is effective for assessing how vibration affects human visual performance.<\/jats:p>","DOI":"10.3390\/s19102217","type":"journal-article","created":{"date-parts":[[2019,5,14]],"date-time":"2019-05-14T10:42:33Z","timestamp":1557830553000},"page":"2217","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Dynamic Visual Measurement of Driver Eye Movements"],"prefix":"10.3390","volume":"19","author":[{"given":"Jin","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology,No. 193 Tunxi Road, Hefei 230009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6235-677X","authenticated-orcid":false,"given":"Ze","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology,No. 193 Tunxi Road, Hefei 230009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaxia","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology,No. 193 Tunxi Road, Hefei 230009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huan","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology,No. 193 Tunxi Road, Hefei 230009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9682-7499","authenticated-orcid":false,"given":"Mengchao","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology,No. 193 Tunxi Road, Hefei 230009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology,No. 193 Tunxi Road, Hefei 230009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,5,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1017\/S0263574711000749","article-title":"Face salient points and eyes tracking for robust drowsiness detection","volume":"30","year":"2012","journal-title":"Robotica"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1007\/s10846-009-9391-1","article-title":"Real-time warning system for driver drowsiness detection using visual information","volume":"59","author":"Flores","year":"2010","journal-title":"J. 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